Using Linear Regression to Forecast Monthly Demand
Forecasting is potentially the most broadly relevant machine learning topic there is. Whether predicting future sales in retail, housing prices in real estate, traffic in cities, or patient visits in healthcare, almost every industry could benefit from improvements in their forecasts. There are numerous statistical methodologies that have been developed to forecast time-series data, but still, the process for developing forecasts tends to be a mix of objective statistics and subjective interpretations.
Properly modeling time-series data takes a great deal of care. What's the right level of aggregation to model at? Too granular and the signal gets lost in the noise, too aggregate and important variation is missed. Also, what is the right cyclicality? Daily, weekly, monthly? Are there holiday peaks? How should we weight recent versus overall trends?
Linear regression with appropriate controls for trend, seasonality, and recent behavior, remains a common method for forecasting stable time-series with reasonable volatility. This notebook will build a linear model to forecast weekly output for US gasoline products starting in 1991 to 2005. It will focus almost exclusively on the application. For a more in-depth treatment on forecasting in general, see Forecasting: Principles & Practice. In addition, because our dataset is a single time-series, we'll stick with SageMaker's Linear Learner algorithm. If we had multiple, related time-series, we would use SageMaker's DeepAR algorithm, which is specifically designed for forecasting. See the DeepAR Notebook for more detail.
This notebook was created and tested on an ml.m4.xlarge notebook instance.
Let's start by specifying:
bucket = 'rsignell'
prefix = 'sagemaker/DEMO-linear-time-series-forecast'
# Define IAM role
import boto3
import re
from sagemaker import get_execution_role
role = get_execution_role()
Now we'll import the Python libraries we'll need.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import io
import os
import time
import json
import sagemaker.amazon.common as smac
import sagemaker
from sagemaker.predictor import csv_serializer, json_deserializer
!wget http://robjhyndman.com/data/gasoline.csv
--2018-05-30 12:24:08-- http://robjhyndman.com/data/gasoline.csv Resolving robjhyndman.com (robjhyndman.com)... 77.104.152.218 Connecting to robjhyndman.com (robjhyndman.com)|77.104.152.218|:80... connected. HTTP request sent, awaiting response... 301 Moved Permanently Location: https://robjhyndman.com/data/gasoline.csv [following] --2018-05-30 12:24:08-- https://robjhyndman.com/data/gasoline.csv Connecting to robjhyndman.com (robjhyndman.com)|77.104.152.218|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 4530 (4.4K) [text/csv] Saving to: ‘gasoline.csv’ gasoline.csv 100%[===================>] 4.42K --.-KB/s in 0s 2018-05-30 12:24:09 (867 MB/s) - ‘gasoline.csv’ saved [4530/4530]
And take a look at it.
gas = pd.read_csv('gasoline.csv', header=None, names=['thousands_barrels'])
display(gas.head())
plt.plot(gas)
plt.show()
thousands_barrels | |
---|---|
0 | 6621.0 |
1 | 6433.0 |
2 | 6582.0 |
3 | 7224.0 |
4 | 6875.0 |
As we can see, there's a definitive upward trend, some yearly seasonality, but sufficient volatility to make the problem non-trivial. There are several unexpected dips and years with more or less pronounced seasonality. These same characteristics are common in many topline time-series.
Next we'll transform the dataset to make it look a bit more like a standard prediction model. Our target variable is thousands_barrels
. Let's create explanatory features, like:
thousands_barrels
for each of the 4 preceeding weeks.gas['thousands_barrels_lag1'] = gas['thousands_barrels'].shift(1)
gas['thousands_barrels_lag2'] = gas['thousands_barrels'].shift(2)
gas['thousands_barrels_lag3'] = gas['thousands_barrels'].shift(3)
gas['thousands_barrels_lag4'] = gas['thousands_barrels'].shift(4)
gas['trend'] = np.arange(len(gas))
gas['log_trend'] = np.log1p(np.arange(len(gas)))
gas['sq_trend'] = np.arange(len(gas)) ** 2
weeks = pd.get_dummies(np.array(list(range(52)) * 15)[:len(gas)], prefix='week')
gas = pd.concat([gas, weeks], axis=1)
Now, we'll:
gas = gas.iloc[4:, ]
split_train = int(len(gas) * 0.6)
split_test = int(len(gas) * 0.8)
train_y = gas['thousands_barrels'][:split_train]
train_X = gas.drop('thousands_barrels', axis=1).iloc[:split_train, ].as_matrix()
validation_y = gas['thousands_barrels'][split_train:split_test]
validation_X = gas.drop('thousands_barrels', axis=1).iloc[split_train:split_test, ].as_matrix()
test_y = gas['thousands_barrels'][split_test:]
test_X = gas.drop('thousands_barrels', axis=1).iloc[split_test:, ].as_matrix()
Now, we'll convert the datasets to the recordIO-wrapped protobuf format used by the Amazon SageMaker algorithms and upload this data to S3. We'll start with training data.
buf = io.BytesIO()
smac.write_numpy_to_dense_tensor(buf, np.array(train_X).astype('float32'), np.array(train_y).astype('float32'))
buf.seek(0)
0
key = 'linear_train.data'
boto3.resource('s3').Bucket(bucket).Object(os.path.join(prefix, 'train', key)).upload_fileobj(buf)
s3_train_data = 's3://{}/{}/train/{}'.format(bucket, prefix, key)
print('uploaded training data location: {}'.format(s3_train_data))
uploaded training data location: s3://rsignell/sagemaker/DEMO-linear-time-series-forecast/train/linear_train.data
Next we'll convert and upload the validation dataset.
buf = io.BytesIO()
smac.write_numpy_to_dense_tensor(buf, np.array(validation_X).astype('float32'), np.array(validation_y).astype('float32'))
buf.seek(0)
0
key = 'linear_validation.data'
boto3.resource('s3').Bucket(bucket).Object(os.path.join(prefix, 'validation', key)).upload_fileobj(buf)
s3_validation_data = 's3://{}/{}/validation/{}'.format(bucket, prefix, key)
print('uploaded validation data location: {}'.format(s3_validation_data))
uploaded validation data location: s3://rsignell/sagemaker/DEMO-linear-time-series-forecast/validation/linear_validation.data
Now we can begin to specify our linear model. First, let's specify the containers for the Linear Learner algorithm. Since we want this notebook to run in all 4 of Amazon SageMaker's regions, we'll create a small lookup. More details on algorithm containers can be found in AWS documentation.
containers = {'us-west-2': '174872318107.dkr.ecr.us-west-2.amazonaws.com/linear-learner:latest',
'us-east-1': '382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:latest',
'us-east-2': '404615174143.dkr.ecr.us-east-2.amazonaws.com/linear-learner:latest',
'eu-west-1': '438346466558.dkr.ecr.eu-west-1.amazonaws.com/linear-learner:latest'}
Amazon SageMaker's Linear Learner actually fits many models in parallel, each with slightly different hyperparameters, and then returns the one with the best fit. This functionality is automatically enabled. We can influence this using parameters like:
num_models
to increase to total number of models run. The specified parameters will always be one of those models, but the algorithm also chooses models with nearby parameter values in order to find a solution nearby that may be more optimal. In this case, we're going to use the max of 32.loss
which controls how we penalize mistakes in our model estimates. For this case, let's use absolute loss as we haven't spent much time cleaning the data, and absolute loss will adjust less to accomodate outliers.wd
or l1
which control regularization. Regularization can prevent model overfitting by preventing our estimates from becoming too finely tuned to the training data, which can actually hurt generalizability. In this case, we'll leave these parameters as their default "auto" though.Let'd kick off our training job in SageMaker's distributed, managed training. Because training is managed (AWS handles spinning up and spinning down hardware), we don't have to wait for our job to finish to continue, but for this case, we'll use the Python SDK to track to wait and track our progress.
sess = sagemaker.Session()
linear = sagemaker.estimator.Estimator(containers[boto3.Session().region_name],
role,
train_instance_count=1,
train_instance_type='ml.c4.xlarge',
output_path='s3://{}/{}/output'.format(bucket, prefix),
sagemaker_session=sess)
linear.set_hyperparameters(feature_dim=59,
mini_batch_size=100,
predictor_type='regressor',
epochs=10,
num_models=32,
loss='absolute_loss')
linear.fit({'train': s3_train_data, 'validation': s3_validation_data})
INFO:sagemaker:Creating training-job with name: linear-learner-2018-05-30-12-25-30-667
.................... Docker entrypoint called with argument(s): train [05/30/2018 12:28:40 INFO 140011176339264] Reading default configuration from /opt/amazon/lib/python2.7/site-packages/algorithm/default-input.json: {u'loss_insensitivity': u'0.01', u'epochs': u'10', u'init_bias': u'0.0', u'lr_scheduler_factor': u'0.99', u'num_calibration_samples': u'10000000', u'_num_kv_servers': u'auto', u'use_bias': u'true', u'num_point_for_scaler': u'10000', u'_log_level': u'info', u'quantile': u'0.5', u'bias_lr_mult': u'10', u'lr_scheduler_step': u'100', u'init_method': u'uniform', u'init_sigma': u'0.01', u'lr_scheduler_minimum_lr': u'0.00001', u'target_recall': u'0.8', u'num_models': u'32', u'early_stopping_patience': u'3', u'momentum': u'0.0', u'unbias_label': u'auto', u'wd': u'0.0', u'optimizer': u'adam', u'_tuning_objective_metric': u'', u'early_stopping_tolerance': u'0.001', u'learning_rate': u'auto', u'_kvstore': u'auto', u'normalize_data': u'true', u'binary_classifier_model_selection_criteria': u'accuracy', u'use_lr_scheduler': u'true', u'target_precision': u'0.8', u'force_dense': u'true', u'unbias_data': u'auto', u'init_scale': u'0.07', u'bias_wd_mult': u'0', u'mini_batch_size': u'1000', u'huber_delta': u'1.0', u'beta_1': u'0.9', u'loss': u'auto', u'beta_2': u'0.999', u'normalize_label': u'auto', u'_num_gpus': u'auto', u'_data_format': u'record', u'positive_example_weight_mult': u'1.0', u'l1': u'0.0', u'margin': u'1.0'} [05/30/2018 12:28:40 INFO 140011176339264] Reading provided configuration from /opt/ml/input/config/hyperparameters.json: {u'loss': u'absolute_loss', u'mini_batch_size': u'100', u'predictor_type': u'regressor', u'epochs': u'10', u'feature_dim': u'59', u'num_models': u'32'} [05/30/2018 12:28:40 INFO 140011176339264] Final configuration: {u'loss_insensitivity': u'0.01', u'epochs': u'10', u'feature_dim': u'59', u'init_bias': u'0.0', u'lr_scheduler_factor': u'0.99', u'num_calibration_samples': u'10000000', u'_num_kv_servers': u'auto', u'use_bias': u'true', u'num_point_for_scaler': u'10000', u'_log_level': u'info', u'quantile': u'0.5', u'bias_lr_mult': u'10', u'lr_scheduler_step': u'100', u'init_method': u'uniform', u'init_sigma': u'0.01', u'lr_scheduler_minimum_lr': u'0.00001', u'target_recall': u'0.8', u'num_models': u'32', u'early_stopping_patience': u'3', u'momentum': u'0.0', u'unbias_label': u'auto', u'wd': u'0.0', u'optimizer': u'adam', u'_tuning_objective_metric': u'', u'early_stopping_tolerance': u'0.001', u'learning_rate': u'auto', u'_kvstore': u'auto', u'normalize_data': u'true', u'binary_classifier_model_selection_criteria': u'accuracy', u'use_lr_scheduler': u'true', u'target_precision': u'0.8', u'force_dense': u'true', u'unbias_data': u'auto', u'init_scale': u'0.07', u'bias_wd_mult': u'0', u'mini_batch_size': u'100', u'huber_delta': u'1.0', u'beta_1': u'0.9', u'loss': u'absolute_loss', u'beta_2': u'0.999', u'predictor_type': u'regressor', u'normalize_label': u'auto', u'_num_gpus': u'auto', u'_data_format': u'record', u'positive_example_weight_mult': u'1.0', u'l1': u'0.0', u'margin': u'1.0'} [05/30/2018 12:28:40 WARNING 140011176339264] Loggers have already been setup. [05/30/2018 12:28:40 INFO 140011176339264] Using default worker. [05/30/2018 12:28:40 INFO 140011176339264] Loaded iterator creator application/x-recordio-protobuf for content type ('application/x-recordio-protobuf', '1.0') [05/30/2018 12:28:40 INFO 140011176339264] Create Store: local [05/30/2018 12:28:40 WARNING 140011176339264] wait_for_all_workers will not sync workers since the kv store is not running distributed [05/30/2018 12:28:40 INFO 140011176339264] nvidia-smi took: 0.025218963623 secs to identify 0 gpus [05/30/2018 12:28:40 INFO 140011176339264] Number of GPUs being used: 0 #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 0, "sum": 0.0, "min": 0}, "Number of Records Since Last Reset": {"count": 1, "max": 0, "sum": 0.0, "min": 0}, "Total Batches Seen": {"count": 1, "max": 6, "sum": 6.0, "min": 6}, "Total Records Seen": {"count": 1, "max": 544, "sum": 544.0, "min": 544}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 2, "sum": 2.0, "min": 2}}, "EndTime": 1527683320.784237, "Dimensions": {"Host": "algo-1", "Meta": "init_train_data_iter", "Operation": "training", "Algorithm": "Linear Learner"}, "StartTime": 1527683320.784207} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8285618782043457, "sum": 0.8285618782043457, "min": 0.8285618782043457}}, "EndTime": 1527683320.869268, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869209} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8438126945495605, "sum": 0.8438126945495605, "min": 0.8438126945495605}}, "EndTime": 1527683320.869336, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869323} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8565767478942871, "sum": 0.8565767478942871, "min": 0.8565767478942871}}, "EndTime": 1527683320.869392, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869376} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8344465637207031, "sum": 0.8344465637207031, "min": 0.8344465637207031}}, "EndTime": 1527683320.869433, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869422} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9864651107788086, "sum": 0.9864651107788086, "min": 0.9864651107788086}}, "EndTime": 1527683320.869479, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869465} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.0411532020568848, "sum": 1.0411532020568848, "min": 1.0411532020568848}}, "EndTime": 1527683320.86953, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869516} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9486188316345214, "sum": 0.9486188316345214, "min": 0.9486188316345214}}, "EndTime": 1527683320.869586, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.86957} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9061527061462402, "sum": 0.9061527061462402, "min": 0.9061527061462402}}, "EndTime": 1527683320.86964, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869624} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8776141166687011, "sum": 0.8776141166687011, "min": 0.8776141166687011}}, "EndTime": 1527683320.869693, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869678} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8233431816101074, "sum": 0.8233431816101074, "min": 0.8233431816101074}}, "EndTime": 1527683320.869747, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869732} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7331071949005127, "sum": 0.7331071949005127, "min": 0.7331071949005127}}, "EndTime": 1527683320.869798, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.869784} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9544301986694336, "sum": 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0.7629779243469238, "min": 0.7629779243469238}}, "EndTime": 1527683320.870185, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870169} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7578275489807129, "sum": 0.7578275489807129, "min": 0.7578275489807129}}, "EndTime": 1527683320.870237, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870222} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7880357933044434, "sum": 0.7880357933044434, "min": 0.7880357933044434}}, "EndTime": 1527683320.870292, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870276} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9019172954559326, "sum": 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0.8728662967681885, "min": 0.8728662967681885}}, "EndTime": 1527683320.870504, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870488} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8385609436035156, "sum": 0.8385609436035156, "min": 0.8385609436035156}}, "EndTime": 1527683320.870557, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870541} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9380228805541992, "sum": 0.9380228805541992, "min": 0.9380228805541992}}, "EndTime": 1527683320.870609, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870594} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8250923156738281, "sum": 0.8250923156738281, "min": 0.8250923156738281}}, "EndTime": 1527683320.870663, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870647} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.822189826965332, "sum": 0.822189826965332, "min": 0.822189826965332}}, "EndTime": 1527683320.870722, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870707} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.231052360534668, "sum": 1.231052360534668, "min": 1.231052360534668}}, "EndTime": 1527683320.870783, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870767} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.230747604370117, "sum": 1.230747604370117, "min": 1.230747604370117}}, "EndTime": 1527683320.870839, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870824} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.1184946060180665, "sum": 1.1184946060180665, "min": 1.1184946060180665}}, "EndTime": 1527683320.870891, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870877} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.23404146194458, "sum": 1.23404146194458, "min": 1.23404146194458}}, "EndTime": 1527683320.870948, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.870933} [05/30/2018 12:28:40 INFO 140011176339264] #quality_metric: host=algo-1, epoch=0, train absolute_loss_objective <loss>=0.828561878204 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 806.9714949324324, "sum": 806.9714949324324, "min": 806.9714949324324}}, "EndTime": 1527683320.91264, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.91257} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 850.1831978462837, "sum": 850.1831978462837, "min": 850.1831978462837}}, "EndTime": 1527683320.912718, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.912701} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 880.2605310388514, "sum": 880.2605310388514, "min": 880.2605310388514}}, "EndTime": 1527683320.91277, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.912757} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 804.4004961993244, "sum": 804.4004961993244, "min": 804.4004961993244}}, "EndTime": 1527683320.912814, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.912803} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 802.3549936655405, "sum": 802.3549936655405, "min": 802.3549936655405}}, "EndTime": 1527683320.912857, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.912846} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 782.3872994087837, "sum": 782.3872994087837, "min": 782.3872994087837}}, "EndTime": 1527683320.912899, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.912888} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 864.8645217483108, "sum": 864.8645217483108, "min": 864.8645217483108}}, "EndTime": 1527683320.91294, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.912929} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 713.9254909206081, "sum": 713.9254909206081, "min": 713.9254909206081}}, "EndTime": 1527683320.912981, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.91297} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 740.2941564611486, "sum": 740.2941564611486, "min": 740.2941564611486}}, "EndTime": 1527683320.913022, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913012} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 836.6310705236486, "sum": 836.6310705236486, "min": 836.6310705236486}}, "EndTime": 1527683320.913064, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913053} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 599.0707875844595, "sum": 599.0707875844595, "min": 599.0707875844595}}, "EndTime": 1527683320.913105, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913094} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 1006.5276076858108, "sum": 1006.5276076858108, "min": 1006.5276076858108}}, "EndTime": 1527683320.913146, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913135} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 666.6321262668919, "sum": 666.6321262668919, "min": 666.6321262668919}}, "EndTime": 1527683320.913192, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.91318} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 733.9916332347973, "sum": 733.9916332347973, "min": 733.9916332347973}}, "EndTime": 1527683320.913234, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913223} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 727.996753589527, "sum": 727.996753589527, "min": 727.996753589527}}, "EndTime": 1527683320.913275, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913264} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 836.3398965371622, "sum": 836.3398965371622, "min": 836.3398965371622}}, "EndTime": 1527683320.913316, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913305} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 652.653293918919, "sum": 652.653293918919, "min": 652.653293918919}}, "EndTime": 1527683320.913357, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913346} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 701.3260399070946, "sum": 701.3260399070946, "min": 701.3260399070946}}, "EndTime": 1527683320.913398, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913387} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 626.3292071368244, "sum": 626.3292071368244, "min": 626.3292071368244}}, "EndTime": 1527683320.913439, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913428} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 723.7605838260135, "sum": 723.7605838260135, "min": 723.7605838260135}}, "EndTime": 1527683320.913479, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913468} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 459.7051836993243, "sum": 459.7051836993243, "min": 459.7051836993243}}, "EndTime": 1527683320.91352, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913509} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 535.9264146959459, "sum": 535.9264146959459, "min": 535.9264146959459}}, "EndTime": 1527683320.91356, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.91355} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 454.71857844172297, "sum": 454.71857844172297, "min": 454.71857844172297}}, "EndTime": 1527683320.913604, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913593} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 492.7837573902027, "sum": 492.7837573902027, "min": 492.7837573902027}}, "EndTime": 1527683320.913648, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913637} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 797.5147540118244, "sum": 797.5147540118244, "min": 797.5147540118244}}, "EndTime": 1527683320.913689, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913678} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 984.876979518581, "sum": 984.876979518581, "min": 984.876979518581}}, "EndTime": 1527683320.913729, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913719} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 860.0178420608108, "sum": 860.0178420608108, "min": 860.0178420608108}}, "EndTime": 1527683320.913769, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913759} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 767.4988122888514, "sum": 767.4988122888514, "min": 767.4988122888514}}, "EndTime": 1527683320.91381, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913799} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 908.1360325168919, "sum": 908.1360325168919, "min": 908.1360325168919}}, "EndTime": 1527683320.913852, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913841} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 939.1775496199324, "sum": 939.1775496199324, "min": 939.1775496199324}}, "EndTime": 1527683320.913893, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913883} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 610.5515202702703, "sum": 610.5515202702703, "min": 610.5515202702703}}, "EndTime": 1527683320.913933, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913923} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 1086.9572160050675, "sum": 1086.9572160050675, "min": 1086.9572160050675}}, "EndTime": 1527683320.913973, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.913962} [05/30/2018 12:28:40 INFO 140011176339264] #quality_metric: host=algo-1, epoch=0, validation absolute_loss_objective <loss>=806.971494932 [05/30/2018 12:28:40 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=0, criteria=absolute_loss_objective, value=454.718578442 [05/30/2018 12:28:40 INFO 140011176339264] Epoch 0: Loss improved. Updating best model [05/30/2018 12:28:40 INFO 140011176339264] #progress_metric: host=algo-1, completed 10 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 11, "sum": 11.0, "min": 11}, "Total Records Seen": {"count": 1, "max": 988, "sum": 988.0, "min": 988}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 3, "sum": 3.0, "min": 3}}, "EndTime": 1527683320.915458, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 0}, "StartTime": 1527683320.915409} [05/30/2018 12:28:40 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3388.04781874 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7116992568969727, "sum": 0.7116992568969727, "min": 0.7116992568969727}}, "EndTime": 1527683321.001199, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001142} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7243129634857177, "sum": 0.7243129634857177, "min": 0.7243129634857177}}, "EndTime": 1527683321.001276, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001258} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7389048099517822, "sum": 0.7389048099517822, "min": 0.7389048099517822}}, "EndTime": 1527683321.001334, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001319} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7194788837432862, "sum": 0.7194788837432862, "min": 0.7194788837432862}}, "EndTime": 1527683321.001389, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001373} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.1553497123718262, "sum": 1.1553497123718262, "min": 1.1553497123718262}}, "EndTime": 1527683321.001438, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001424} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.1731752014160157, "sum": 1.1731752014160157, "min": 1.1731752014160157}}, "EndTime": 1527683321.001495, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.00148} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.0659313201904297, "sum": 1.0659313201904297, "min": 1.0659313201904297}}, "EndTime": 1527683321.001549, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001533} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9728909683227539, "sum": 0.9728909683227539, "min": 0.9728909683227539}}, "EndTime": 1527683321.001604, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001588} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7554808330535888, "sum": 0.7554808330535888, "min": 0.7554808330535888}}, "EndTime": 1527683321.001658, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001642} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7110821533203125, "sum": 0.7110821533203125, "min": 0.7110821533203125}}, "EndTime": 1527683321.001711, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001696} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6298467350006104, "sum": 0.6298467350006104, "min": 0.6298467350006104}}, "EndTime": 1527683321.001766, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.00175} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.829173002243042, "sum": 0.829173002243042, "min": 0.829173002243042}}, "EndTime": 1527683321.00182, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001805} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.0934790420532225, "sum": 1.0934790420532225, "min": 1.0934790420532225}}, "EndTime": 1527683321.001875, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001859} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.071869010925293, "sum": 1.071869010925293, "min": 1.071869010925293}}, "EndTime": 1527683321.001926, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001913} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.136777744293213, "sum": 1.136777744293213, "min": 1.136777744293213}}, "EndTime": 1527683321.001978, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.001962} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.1435986518859864, "sum": 1.1435986518859864, "min": 1.1435986518859864}}, "EndTime": 1527683321.002033, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002017} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6689527893066406, "sum": 0.6689527893066406, "min": 0.6689527893066406}}, "EndTime": 1527683321.002086, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002071} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6546470451354981, "sum": 0.6546470451354981, "min": 0.6546470451354981}}, "EndTime": 1527683321.002138, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002123} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6490596485137939, "sum": 0.6490596485137939, "min": 0.6490596485137939}}, "EndTime": 1527683321.002191, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002176} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6809065246582031, "sum": 0.6809065246582031, "min": 0.6809065246582031}}, "EndTime": 1527683321.002244, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002228} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7500093460083008, "sum": 0.7500093460083008, "min": 0.7500093460083008}}, "EndTime": 1527683321.002296, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002281} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9011698341369629, "sum": 0.9011698341369629, "min": 0.9011698341369629}}, "EndTime": 1527683321.002348, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002333} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8084012603759766, "sum": 0.8084012603759766, "min": 0.8084012603759766}}, "EndTime": 1527683321.002401, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002386} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7698447608947754, "sum": 0.7698447608947754, "min": 0.7698447608947754}}, "EndTime": 1527683321.002454, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002439} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7930110740661621, "sum": 0.7930110740661621, "min": 0.7930110740661621}}, "EndTime": 1527683321.002513, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002497} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8683105087280274, "sum": 0.8683105087280274, "min": 0.8683105087280274}}, "EndTime": 1527683321.002567, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002551} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7939216423034668, "sum": 0.7939216423034668, "min": 0.7939216423034668}}, "EndTime": 1527683321.002621, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002606} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8028886985778808, "sum": 0.8028886985778808, "min": 0.8028886985778808}}, "EndTime": 1527683321.002676, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002659} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7766332817077637, "sum": 0.7766332817077637, "min": 0.7766332817077637}}, "EndTime": 1527683321.00273, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002714} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7183984851837159, "sum": 0.7183984851837159, "min": 0.7183984851837159}}, "EndTime": 1527683321.002789, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002773} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7920644569396973, "sum": 0.7920644569396973, "min": 0.7920644569396973}}, "EndTime": 1527683321.002842, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002827} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8122897148132324, "sum": 0.8122897148132324, "min": 0.8122897148132324}}, "EndTime": 1527683321.002893, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.002879} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=1, train absolute_loss_objective <loss>=0.711699256897 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 692.3300253378378, "sum": 692.3300253378378, "min": 692.3300253378378}}, "EndTime": 1527683321.047774, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.04773} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 727.1154719172297, "sum": 727.1154719172297, "min": 727.1154719172297}}, "EndTime": 1527683321.047831, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.047819} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 767.9301625844595, "sum": 767.9301625844595, "min": 767.9301625844595}}, "EndTime": 1527683321.047888, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.047873} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 691.4573215793919, "sum": 691.4573215793919, "min": 691.4573215793919}}, "EndTime": 1527683321.047928, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.047918} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 714.6373521959459, "sum": 714.6373521959459, "min": 714.6373521959459}}, "EndTime": 1527683321.047979, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.047963} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 764.2017261402027, "sum": 764.2017261402027, "min": 764.2017261402027}}, "EndTime": 1527683321.048036, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048019} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 495.81853093327703, "sum": 495.81853093327703, "min": 495.81853093327703}}, "EndTime": 1527683321.048093, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048077} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 366.01990076013516, "sum": 366.01990076013516, "min": 366.01990076013516}}, "EndTime": 1527683321.048161, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048143} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 627.551586254223, "sum": 627.551586254223, "min": 627.551586254223}}, "EndTime": 1527683321.048224, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048208} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 717.4491395692568, "sum": 717.4491395692568, "min": 717.4491395692568}}, "EndTime": 1527683321.048302, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.04827} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 492.16428684543916, "sum": 492.16428684543916, "min": 492.16428684543916}}, "EndTime": 1527683321.048369, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048352} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 892.1263988597973, "sum": 892.1263988597973, "min": 892.1263988597973}}, "EndTime": 1527683321.048434, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048417} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 543.5145164695946, "sum": 543.5145164695946, "min": 543.5145164695946}}, "EndTime": 1527683321.048488, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048473} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 594.0044869087837, "sum": 594.0044869087837, "min": 594.0044869087837}}, "EndTime": 1527683321.048537, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048523} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 703.3576330236486, "sum": 703.3576330236486, "min": 703.3576330236486}}, "EndTime": 1527683321.048587, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048574} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 662.462573902027, "sum": 662.462573902027, "min": 662.462573902027}}, "EndTime": 1527683321.048637, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048622} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 540.5484982052365, "sum": 540.5484982052365, "min": 540.5484982052365}}, "EndTime": 1527683321.04869, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048675} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 590.2284100506756, "sum": 590.2284100506756, "min": 590.2284100506756}}, "EndTime": 1527683321.048743, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048728} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 517.0199271537163, "sum": 517.0199271537163, "min": 517.0199271537163}}, "EndTime": 1527683321.048796, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048781} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 614.3184781461149, "sum": 614.3184781461149, "min": 614.3184781461149}}, "EndTime": 1527683321.04885, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048835} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 483.4316802153716, "sum": 483.4316802153716, "min": 483.4316802153716}}, "EndTime": 1527683321.048905, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048889} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 310.8989521748311, "sum": 310.8989521748311, "min": 310.8989521748311}}, "EndTime": 1527683321.048957, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048943} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 374.6424725506757, "sum": 374.6424725506757, "min": 374.6424725506757}}, "EndTime": 1527683321.04901, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.048994} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 408.3732052364865, "sum": 408.3732052364865, "min": 408.3732052364865}}, "EndTime": 1527683321.049064, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049048} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 806.1530299831081, "sum": 806.1530299831081, "min": 806.1530299831081}}, "EndTime": 1527683321.049116, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049101} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 907.4778293918919, "sum": 907.4778293918919, "min": 907.4778293918919}}, "EndTime": 1527683321.049167, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049153} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 853.8013619087837, "sum": 853.8013619087837, "min": 853.8013619087837}}, "EndTime": 1527683321.049231, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049214} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 816.0699165962837, "sum": 816.0699165962837, "min": 816.0699165962837}}, "EndTime": 1527683321.049297, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.04928} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 574.8825617609797, "sum": 574.8825617609797, "min": 574.8825617609797}}, "EndTime": 1527683321.04936, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049344} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 585.9042308910473, "sum": 585.9042308910473, "min": 585.9042308910473}}, "EndTime": 1527683321.049416, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049401} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 691.2497096706081, "sum": 691.2497096706081, "min": 691.2497096706081}}, "EndTime": 1527683321.049471, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049455} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 516.907252956081, "sum": 516.907252956081, "min": 516.907252956081}}, "EndTime": 1527683321.049524, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.049509} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=1, validation absolute_loss_objective <loss>=692.330025338 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=1, criteria=absolute_loss_objective, value=310.898952175 [05/30/2018 12:28:41 INFO 140011176339264] Epoch 1: Loss improved. Updating best model [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 20 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 16, "sum": 16.0, "min": 16}, "Total Records Seen": {"count": 1, "max": 1432, "sum": 1432.0, "min": 1432}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 4, "sum": 4.0, "min": 4}}, "EndTime": 1527683321.051002, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 1}, "StartTime": 1527683321.050969} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3280.02045928 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6243402194976807, "sum": 0.6243402194976807, "min": 0.6243402194976807}}, "EndTime": 1527683321.124118, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124073} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6329142665863037, "sum": 0.6329142665863037, "min": 0.6329142665863037}}, "EndTime": 1527683321.124177, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124165} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6515886306762695, "sum": 0.6515886306762695, "min": 0.6515886306762695}}, "EndTime": 1527683321.124232, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124216} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6352639770507813, "sum": 0.6352639770507813, "min": 0.6352639770507813}}, "EndTime": 1527683321.124271, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124259} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7276849746704102, "sum": 0.7276849746704102, "min": 0.7276849746704102}}, "EndTime": 1527683321.124348, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124331} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7647519683837891, "sum": 0.7647519683837891, "min": 0.7647519683837891}}, "EndTime": 1527683321.124405, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124389} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7728761100769043, "sum": 0.7728761100769043, "min": 0.7728761100769043}}, "EndTime": 1527683321.124458, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124443} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8001619911193848, "sum": 0.8001619911193848, "min": 0.8001619911193848}}, "EndTime": 1527683321.124515, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124499} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6570650196075439, "sum": 0.6570650196075439, "min": 0.6570650196075439}}, "EndTime": 1527683321.124571, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124555} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6262053966522216, "sum": 0.6262053966522216, "min": 0.6262053966522216}}, "EndTime": 1527683321.124623, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124609} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5553938388824463, "sum": 0.5553938388824463, "min": 0.5553938388824463}}, "EndTime": 1527683321.124678, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124662} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7296016216278076, "sum": 0.7296016216278076, "min": 0.7296016216278076}}, "EndTime": 1527683321.124732, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124716} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7384943962097168, "sum": 0.7384943962097168, "min": 0.7384943962097168}}, "EndTime": 1527683321.124785, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124769} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.770775146484375, "sum": 0.770775146484375, "min": 0.770775146484375}}, "EndTime": 1527683321.124837, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124822} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7219676971435547, "sum": 0.7219676971435547, "min": 0.7219676971435547}}, "EndTime": 1527683321.124887, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124874} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.741077003479004, "sum": 0.741077003479004, "min": 0.741077003479004}}, "EndTime": 1527683321.124933, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.12492} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5859542942047119, "sum": 0.5859542942047119, "min": 0.5859542942047119}}, "EndTime": 1527683321.124977, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.124966} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5726054859161377, "sum": 0.5726054859161377, "min": 0.5726054859161377}}, "EndTime": 1527683321.125019, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125008} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5678827095031739, "sum": 0.5678827095031739, "min": 0.5678827095031739}}, "EndTime": 1527683321.125061, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125051} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6039908790588379, "sum": 0.6039908790588379, "min": 0.6039908790588379}}, "EndTime": 1527683321.125106, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125095} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.0314701461791993, "sum": 1.0314701461791993, "min": 1.0314701461791993}}, "EndTime": 1527683321.125148, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125137} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8514274215698242, "sum": 0.8514274215698242, "min": 0.8514274215698242}}, "EndTime": 1527683321.12519, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125179} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9366818618774414, "sum": 0.9366818618774414, "min": 0.9366818618774414}}, "EndTime": 1527683321.12523, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.12522} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9861827278137207, "sum": 0.9861827278137207, "min": 0.9861827278137207}}, "EndTime": 1527683321.125271, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.12526} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7795927906036377, "sum": 0.7795927906036377, "min": 0.7795927906036377}}, "EndTime": 1527683321.125311, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125301} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8173058032989502, "sum": 0.8173058032989502, "min": 0.8173058032989502}}, "EndTime": 1527683321.125352, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125342} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7826851463317871, "sum": 0.7826851463317871, "min": 0.7826851463317871}}, "EndTime": 1527683321.125393, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125383} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7991374492645263, "sum": 0.7991374492645263, "min": 0.7991374492645263}}, "EndTime": 1527683321.125434, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125423} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.932791166305542, "sum": 0.932791166305542, "min": 0.932791166305542}}, "EndTime": 1527683321.125476, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125465} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.0142610549926758, "sum": 1.0142610549926758, "min": 1.0142610549926758}}, "EndTime": 1527683321.125516, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125506} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 1.0034002113342284, "sum": 1.0034002113342284, "min": 1.0034002113342284}}, "EndTime": 1527683321.125558, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125547} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9097214889526367, "sum": 0.9097214889526367, "min": 0.9097214889526367}}, "EndTime": 1527683321.125599, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.125588} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=2, train absolute_loss_objective <loss>=0.624340219498 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 573.7541042018581, "sum": 573.7541042018581, "min": 573.7541042018581}}, "EndTime": 1527683321.166175, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166132} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 599.6354122677365, "sum": 599.6354122677365, "min": 599.6354122677365}}, "EndTime": 1527683321.166238, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166221} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 650.0833773226351, "sum": 650.0833773226351, "min": 650.0833773226351}}, "EndTime": 1527683321.166297, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.16628} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 573.7127322635135, "sum": 573.7127322635135, "min": 573.7127322635135}}, "EndTime": 1527683321.166353, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166337} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 464.11023279138516, "sum": 464.11023279138516, "min": 464.11023279138516}}, "EndTime": 1527683321.166416, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166398} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 414.6636402027027, "sum": 414.6636402027027, "min": 414.6636402027027}}, "EndTime": 1527683321.166484, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166466} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 531.6610008445946, "sum": 531.6610008445946, "min": 531.6610008445946}}, "EndTime": 1527683321.166549, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166532} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 740.2411317567568, "sum": 740.2411317567568, "min": 740.2411317567568}}, "EndTime": 1527683321.166613, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166596} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 508.84838207347974, "sum": 508.84838207347974, "min": 508.84838207347974}}, "EndTime": 1527683321.166667, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166652} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 591.7081661739865, "sum": 591.7081661739865, "min": 591.7081661739865}}, "EndTime": 1527683321.166722, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166707} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 388.2027950802365, "sum": 388.2027950802365, "min": 388.2027950802365}}, "EndTime": 1527683321.166776, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166761} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 769.8724662162163, "sum": 769.8724662162163, "min": 769.8724662162163}}, "EndTime": 1527683321.166831, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166815} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 564.2677628800676, "sum": 564.2677628800676, "min": 564.2677628800676}}, "EndTime": 1527683321.166884, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166869} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 470.6068544130068, "sum": 470.6068544130068, "min": 470.6068544130068}}, "EndTime": 1527683321.166938, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166923} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 442.60710515202703, "sum": 442.60710515202703, "min": 442.60710515202703}}, "EndTime": 1527683321.166991, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.166976} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 549.9698057432432, "sum": 549.9698057432432, "min": 549.9698057432432}}, "EndTime": 1527683321.167046, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.16703} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 431.34591427364865, "sum": 431.34591427364865, "min": 431.34591427364865}}, "EndTime": 1527683321.167099, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167084} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 478.24284733952703, "sum": 478.24284733952703, "min": 478.24284733952703}}, "EndTime": 1527683321.167153, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167137} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 407.46505489864865, "sum": 407.46505489864865, "min": 407.46505489864865}}, "EndTime": 1527683321.167208, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167193} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 502.1763223184122, "sum": 502.1763223184122, "min": 502.1763223184122}}, "EndTime": 1527683321.167262, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167247} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 836.808910472973, "sum": 836.808910472973, "min": 836.808910472973}}, "EndTime": 1527683321.167315, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.1673} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 701.0010557432432, "sum": 701.0010557432432, "min": 701.0010557432432}}, "EndTime": 1527683321.167369, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167353} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 691.8399493243244, "sum": 691.8399493243244, "min": 691.8399493243244}}, "EndTime": 1527683321.167422, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167407} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 818.7616659628378, "sum": 818.7616659628378, "min": 818.7616659628378}}, "EndTime": 1527683321.167476, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167461} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 835.2371199324324, "sum": 835.2371199324324, "min": 835.2371199324324}}, "EndTime": 1527683321.167529, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167514} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 848.1281672297297, "sum": 848.1281672297297, "min": 848.1281672297297}}, "EndTime": 1527683321.167586, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.16757} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 841.6911423141892, "sum": 841.6911423141892, "min": 841.6911423141892}}, "EndTime": 1527683321.167641, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167626} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 854.2783994932432, "sum": 854.2783994932432, "min": 854.2783994932432}}, "EndTime": 1527683321.167697, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167681} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 750.8184649493244, "sum": 750.8184649493244, "min": 750.8184649493244}}, "EndTime": 1527683321.167753, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167737} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 685.5922719594595, "sum": 685.5922719594595, "min": 685.5922719594595}}, "EndTime": 1527683321.167807, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167792} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 803.5653505067568, "sum": 803.5653505067568, "min": 803.5653505067568}}, "EndTime": 1527683321.167861, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167845} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 697.6915382179054, "sum": 697.6915382179054, "min": 697.6915382179054}}, "EndTime": 1527683321.167913, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.167898} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=2, validation absolute_loss_objective <loss>=573.754104202 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=2, criteria=absolute_loss_objective, value=388.20279508 [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 30 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 21, "sum": 21.0, "min": 21}, "Total Records Seen": {"count": 1, "max": 1876, "sum": 1876.0, "min": 1876}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 5, "sum": 5.0, "min": 5}}, "EndTime": 1527683321.168776, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 2}, "StartTime": 1527683321.168727} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3777.60215182 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5579921817779541, "sum": 0.5579921817779541, "min": 0.5579921817779541}}, "EndTime": 1527683321.237262, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237215} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5553237915039062, "sum": 0.5553237915039062, "min": 0.5553237915039062}}, "EndTime": 1527683321.237327, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.23731} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5776860523223877, "sum": 0.5776860523223877, "min": 0.5776860523223877}}, "EndTime": 1527683321.237388, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237372} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5667243003845215, "sum": 0.5667243003845215, "min": 0.5667243003845215}}, "EndTime": 1527683321.237451, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237434} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6873591136932373, "sum": 0.6873591136932373, "min": 0.6873591136932373}}, "EndTime": 1527683321.237509, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237492} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7135549640655517, "sum": 0.7135549640655517, "min": 0.7135549640655517}}, "EndTime": 1527683321.2376, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237581} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6894470977783204, "sum": 0.6894470977783204, "min": 0.6894470977783204}}, "EndTime": 1527683321.237666, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237649} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6352631282806397, "sum": 0.6352631282806397, "min": 0.6352631282806397}}, "EndTime": 1527683321.237727, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.23771} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5746323776245117, "sum": 0.5746323776245117, "min": 0.5746323776245117}}, "EndTime": 1527683321.237786, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237769} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5580484676361084, "sum": 0.5580484676361084, "min": 0.5580484676361084}}, "EndTime": 1527683321.237917, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.237895} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5030950260162353, "sum": 0.5030950260162353, "min": 0.5030950260162353}}, "EndTime": 1527683321.23801, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.23799} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6471250057220459, "sum": 0.6471250057220459, "min": 0.6471250057220459}}, "EndTime": 1527683321.238135, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238113} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7601114177703857, "sum": 0.7601114177703857, "min": 0.7601114177703857}}, "EndTime": 1527683321.238198, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238182} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.692124319076538, "sum": 0.692124319076538, "min": 0.692124319076538}}, "EndTime": 1527683321.238261, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238245} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7439102935791015, "sum": 0.7439102935791015, "min": 0.7439102935791015}}, "EndTime": 1527683321.238316, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.2383} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7203558349609375, "sum": 0.7203558349609375, "min": 0.7203558349609375}}, "EndTime": 1527683321.238372, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238356} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5222311687469482, "sum": 0.5222311687469482, "min": 0.5222311687469482}}, "EndTime": 1527683321.238458, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238411} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5103813457489014, "sum": 0.5103813457489014, "min": 0.5103813457489014}}, "EndTime": 1527683321.238518, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238502} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5122350406646728, "sum": 0.5122350406646728, "min": 0.5122350406646728}}, "EndTime": 1527683321.238573, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238557} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5416950893402099, "sum": 0.5416950893402099, "min": 0.5416950893402099}}, "EndTime": 1527683321.238627, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238611} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6389190673828125, "sum": 0.6389190673828125, "min": 0.6389190673828125}}, "EndTime": 1527683321.23868, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238665} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7360475921630859, "sum": 0.7360475921630859, "min": 0.7360475921630859}}, "EndTime": 1527683321.238736, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.23872} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6159117221832275, "sum": 0.6159117221832275, "min": 0.6159117221832275}}, "EndTime": 1527683321.23879, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238775} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6475759983062744, "sum": 0.6475759983062744, "min": 0.6475759983062744}}, "EndTime": 1527683321.238844, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238828} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7873166847229004, "sum": 0.7873166847229004, "min": 0.7873166847229004}}, "EndTime": 1527683321.238937, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238919} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7858103942871094, "sum": 0.7858103942871094, "min": 0.7858103942871094}}, "EndTime": 1527683321.238991, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.238976} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7844340324401855, "sum": 0.7844340324401855, "min": 0.7844340324401855}}, "EndTime": 1527683321.239043, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.239028} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7983663558959961, "sum": 0.7983663558959961, "min": 0.7983663558959961}}, "EndTime": 1527683321.239097, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.239081} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9767737197875976, "sum": 0.9767737197875976, "min": 0.9767737197875976}}, "EndTime": 1527683321.239193, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.239173} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9277529144287109, "sum": 0.9277529144287109, "min": 0.9277529144287109}}, "EndTime": 1527683321.239286, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.239267} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8667448902130127, "sum": 0.8667448902130127, "min": 0.8667448902130127}}, "EndTime": 1527683321.239344, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.239328} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.9611959266662597, "sum": 0.9611959266662597, "min": 0.9611959266662597}}, "EndTime": 1527683321.2394, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.239384} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=3, train absolute_loss_objective <loss>=0.557992181778 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 463.0368190456081, "sum": 463.0368190456081, "min": 463.0368190456081}}, "EndTime": 1527683321.280952, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.280908} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 477.43813344594594, "sum": 477.43813344594594, "min": 477.43813344594594}}, "EndTime": 1527683321.281016, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.280999} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 536.6221362964527, "sum": 536.6221362964527, "min": 536.6221362964527}}, "EndTime": 1527683321.281082, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281064} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 459.8931455869932, "sum": 459.8931455869932, "min": 459.8931455869932}}, "EndTime": 1527683321.281142, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281126} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 454.67458034206084, "sum": 454.67458034206084, "min": 454.67458034206084}}, "EndTime": 1527683321.281201, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281183} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 523.1783150337837, "sum": 523.1783150337837, "min": 523.1783150337837}}, "EndTime": 1527683321.281261, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281244} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 404.1527792440878, "sum": 404.1527792440878, "min": 404.1527792440878}}, "EndTime": 1527683321.281317, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281301} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 325.68190456081084, "sum": 325.68190456081084, "min": 325.68190456081084}}, "EndTime": 1527683321.281368, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281353} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 395.9701224662162, "sum": 395.9701224662162, "min": 395.9701224662162}}, "EndTime": 1527683321.281428, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281413} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 475.20135663006755, "sum": 475.20135663006755, "min": 475.20135663006755}}, "EndTime": 1527683321.281483, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281467} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 301.6929370777027, "sum": 301.6929370777027, "min": 301.6929370777027}}, "EndTime": 1527683321.281537, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281521} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 647.718776393581, "sum": 647.718776393581, "min": 647.718776393581}}, "EndTime": 1527683321.28158, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281566} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 558.2088260135135, "sum": 558.2088260135135, "min": 558.2088260135135}}, "EndTime": 1527683321.281631, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281616} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 432.2872413429054, "sum": 432.2872413429054, "min": 432.2872413429054}}, "EndTime": 1527683321.281688, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281672} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 596.7262853673986, "sum": 596.7262853673986, "min": 596.7262853673986}}, "EndTime": 1527683321.281742, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281726} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 555.2735034839527, "sum": 555.2735034839527, "min": 555.2735034839527}}, "EndTime": 1527683321.281796, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.28178} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 339.6383353568412, "sum": 339.6383353568412, "min": 339.6383353568412}}, "EndTime": 1527683321.281859, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281841} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 378.6824588260135, "sum": 378.6824588260135, "min": 378.6824588260135}}, "EndTime": 1527683321.281916, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.2819} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 318.41082928631755, "sum": 318.41082928631755, "min": 318.41082928631755}}, "EndTime": 1527683321.281963, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.281949} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 398.8143475506757, "sum": 398.8143475506757, "min": 398.8143475506757}}, "EndTime": 1527683321.282018, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282003} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 259.8135161528716, "sum": 259.8135161528716, "min": 259.8135161528716}}, "EndTime": 1527683321.282078, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282062} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 369.4017630912162, "sum": 369.4017630912162, "min": 369.4017630912162}}, "EndTime": 1527683321.282133, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282116} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 256.8118533572635, "sum": 256.8118533572635, "min": 256.8118533572635}}, "EndTime": 1527683321.282187, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282171} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 261.2464764569257, "sum": 261.2464764569257, "min": 261.2464764569257}}, "EndTime": 1527683321.282249, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282232} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 866.5361855996622, "sum": 866.5361855996622, "min": 866.5361855996622}}, "EndTime": 1527683321.282306, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282289} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 820.678737331081, "sum": 820.678737331081, "min": 820.678737331081}}, "EndTime": 1527683321.28236, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282344} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 844.979808910473, "sum": 844.979808910473, "min": 844.979808910473}}, "EndTime": 1527683321.282408, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282393} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 880.8280194256756, "sum": 880.8280194256756, "min": 880.8280194256756}}, "EndTime": 1527683321.282464, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282448} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 952.6887141047297, "sum": 952.6887141047297, "min": 952.6887141047297}}, "EndTime": 1527683321.282522, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282506} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 1085.299857474662, "sum": 1085.299857474662, "min": 1085.299857474662}}, "EndTime": 1527683321.282586, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282569} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 873.7281461148649, "sum": 873.7281461148649, "min": 873.7281461148649}}, "EndTime": 1527683321.282649, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282632} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 1086.216137035473, "sum": 1086.216137035473, "min": 1086.216137035473}}, "EndTime": 1527683321.282712, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.282695} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=3, validation absolute_loss_objective <loss>=463.036819046 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=3, criteria=absolute_loss_objective, value=256.811853357 [05/30/2018 12:28:41 INFO 140011176339264] Epoch 3: Loss improved. Updating best model [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 40 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 26, "sum": 26.0, "min": 26}, "Total Records Seen": {"count": 1, "max": 2320, "sum": 2320.0, "min": 2320}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 6, "sum": 6.0, "min": 6}}, "EndTime": 1527683321.2841, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 3}, "StartTime": 1527683321.284052} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3857.51832365 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5101851463317871, "sum": 0.5101851463317871, "min": 0.5101851463317871}}, "EndTime": 1527683321.354654, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354603} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.500299654006958, "sum": 0.500299654006958, "min": 0.500299654006958}}, "EndTime": 1527683321.354717, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354704} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5219842815399169, "sum": 0.5219842815399169, "min": 0.5219842815399169}}, "EndTime": 1527683321.354774, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354757} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5144933223724365, "sum": 0.5144933223724365, "min": 0.5144933223724365}}, "EndTime": 1527683321.35484, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354822} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5661567974090577, "sum": 0.5661567974090577, "min": 0.5661567974090577}}, "EndTime": 1527683321.354898, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354881} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5997527027130127, "sum": 0.5997527027130127, "min": 0.5997527027130127}}, "EndTime": 1527683321.354946, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354935} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6440927124023438, "sum": 0.6440927124023438, "min": 0.6440927124023438}}, "EndTime": 1527683321.354999, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.354984} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6109178161621094, "sum": 0.6109178161621094, "min": 0.6109178161621094}}, "EndTime": 1527683321.355059, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355042} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5161666870117188, "sum": 0.5161666870117188, "min": 0.5161666870117188}}, "EndTime": 1527683321.355113, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355098} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5048535251617432, "sum": 0.5048535251617432, "min": 0.5048535251617432}}, "EndTime": 1527683321.35517, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355154} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4695780277252197, "sum": 0.4695780277252197, "min": 0.4695780277252197}}, "EndTime": 1527683321.355227, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355211} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5784647941589356, "sum": 0.5784647941589356, "min": 0.5784647941589356}}, "EndTime": 1527683321.355283, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355268} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6214395618438721, "sum": 0.6214395618438721, "min": 0.6214395618438721}}, "EndTime": 1527683321.355337, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355322} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6329245471954346, "sum": 0.6329245471954346, "min": 0.6329245471954346}}, "EndTime": 1527683321.355393, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355378} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6171633243560791, "sum": 0.6171633243560791, "min": 0.6171633243560791}}, "EndTime": 1527683321.355439, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.35543} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5933823871612549, "sum": 0.5933823871612549, "min": 0.5933823871612549}}, "EndTime": 1527683321.355472, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.35546} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48317866325378417, "sum": 0.48317866325378417, "min": 0.48317866325378417}}, "EndTime": 1527683321.355527, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355512} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4768666172027588, "sum": 0.4768666172027588, "min": 0.4768666172027588}}, "EndTime": 1527683321.355579, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355564} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.47955678939819335, "sum": 0.47955678939819335, "min": 0.47955678939819335}}, "EndTime": 1527683321.355622, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355608} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.49911261558532716, "sum": 0.49911261558532716, "min": 0.49911261558532716}}, "EndTime": 1527683321.355666, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355652} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6059387397766113, "sum": 0.6059387397766113, "min": 0.6059387397766113}}, "EndTime": 1527683321.355707, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355694} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5365396213531494, "sum": 0.5365396213531494, "min": 0.5365396213531494}}, "EndTime": 1527683321.355759, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355745} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5924664402008056, "sum": 0.5924664402008056, "min": 0.5924664402008056}}, "EndTime": 1527683321.355806, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355793} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.6029894638061524, "sum": 0.6029894638061524, "min": 0.6029894638061524}}, "EndTime": 1527683321.355857, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355843} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7959736061096191, "sum": 0.7959736061096191, "min": 0.7959736061096191}}, "EndTime": 1527683321.355922, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355906} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7750318145751953, "sum": 0.7750318145751953, "min": 0.7750318145751953}}, "EndTime": 1527683321.35598, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.355963} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7941181468963623, "sum": 0.7941181468963623, "min": 0.7941181468963623}}, "EndTime": 1527683321.356037, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.356021} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8010563182830811, "sum": 0.8010563182830811, "min": 0.8010563182830811}}, "EndTime": 1527683321.356091, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.356076} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8346012687683105, "sum": 0.8346012687683105, "min": 0.8346012687683105}}, "EndTime": 1527683321.356148, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.356132} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8473219776153564, "sum": 0.8473219776153564, "min": 0.8473219776153564}}, "EndTime": 1527683321.356203, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.356188} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8005434322357178, "sum": 0.8005434322357178, "min": 0.8005434322357178}}, "EndTime": 1527683321.356255, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.35624} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8374982357025147, "sum": 0.8374982357025147, "min": 0.8374982357025147}}, "EndTime": 1527683321.35633, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.356313} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=4, train absolute_loss_objective <loss>=0.510185146332 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 367.6357949746622, "sum": 367.6357949746622, "min": 367.6357949746622}}, "EndTime": 1527683321.407212, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407166} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 369.71209881756755, "sum": 369.71209881756755, "min": 369.71209881756755}}, "EndTime": 1527683321.407278, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.40726} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 430.09100506756755, "sum": 430.09100506756755, "min": 430.09100506756755}}, "EndTime": 1527683321.40734, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407322} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 360.25411739864865, "sum": 360.25411739864865, "min": 360.25411739864865}}, "EndTime": 1527683321.4074, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407383} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 305.54906566722974, "sum": 305.54906566722974, "min": 305.54906566722974}}, "EndTime": 1527683321.407436, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407428} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 278.8626016152872, "sum": 278.8626016152872, "min": 278.8626016152872}}, "EndTime": 1527683321.407464, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407457} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 314.1666424725507, "sum": 314.1666424725507, "min": 314.1666424725507}}, "EndTime": 1527683321.407489, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407483} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 302.9195457664696, "sum": 302.9195457664696, "min": 302.9195457664696}}, "EndTime": 1527683321.407514, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407507} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 308.2756611592061, "sum": 308.2756611592061, "min": 308.2756611592061}}, "EndTime": 1527683321.407538, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407532} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 370.0053447001689, "sum": 370.0053447001689, "min": 370.0053447001689}}, "EndTime": 1527683321.407563, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407556} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 257.02391918285474, "sum": 257.02391918285474, "min": 257.02391918285474}}, "EndTime": 1527683321.407587, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.40758} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 531.3666464315878, "sum": 531.3666464315878, "min": 531.3666464315878}}, "EndTime": 1527683321.407611, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407605} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 289.9388988597973, "sum": 289.9388988597973, "min": 289.9388988597973}}, "EndTime": 1527683321.407635, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407629} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 296.36928578969594, "sum": 296.36928578969594, "min": 296.36928578969594}}, "EndTime": 1527683321.407659, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407653} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 262.1441485430743, "sum": 262.1441485430743, "min": 262.1441485430743}}, "EndTime": 1527683321.407685, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407678} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 247.82418575802365, "sum": 247.82418575802365, "min": 247.82418575802365}}, "EndTime": 1527683321.407709, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407702} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 276.4707823057432, "sum": 276.4707823057432, "min": 276.4707823057432}}, "EndTime": 1527683321.407755, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407741} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 308.34698321368245, "sum": 308.34698321368245, "min": 308.34698321368245}}, "EndTime": 1527683321.407809, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407794} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 264.7548960092905, "sum": 264.7548960092905, "min": 264.7548960092905}}, "EndTime": 1527683321.407863, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407848} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 317.6665698902027, "sum": 317.6665698902027, "min": 317.6665698902027}}, "EndTime": 1527683321.407924, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407909} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 463.4999868032095, "sum": 463.4999868032095, "min": 463.4999868032095}}, "EndTime": 1527683321.40798, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.407965} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 337.4695286106419, "sum": 337.4695286106419, "min": 337.4695286106419}}, "EndTime": 1527683321.408035, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.40802} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 365.06335779138516, "sum": 365.06335779138516, "min": 365.06335779138516}}, "EndTime": 1527683321.408094, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408079} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 381.4061576224662, "sum": 381.4061576224662, "min": 381.4061576224662}}, "EndTime": 1527683321.408148, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408134} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 883.127612964527, "sum": 883.127612964527, "min": 883.127612964527}}, "EndTime": 1527683321.408208, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408192} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 816.7242662584459, "sum": 816.7242662584459, "min": 816.7242662584459}}, "EndTime": 1527683321.408264, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408249} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 856.396801097973, "sum": 856.396801097973, "min": 856.396801097973}}, "EndTime": 1527683321.408337, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408322} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 891.3314505912163, "sum": 891.3314505912163, "min": 891.3314505912163}}, "EndTime": 1527683321.40839, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408375} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 896.576198268581, "sum": 896.576198268581, "min": 896.576198268581}}, "EndTime": 1527683321.408444, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408428} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 809.906276393581, "sum": 809.906276393581, "min": 809.906276393581}}, "EndTime": 1527683321.408498, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408483} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 863.1145217483108, "sum": 863.1145217483108, "min": 863.1145217483108}}, "EndTime": 1527683321.408548, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408534} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 765.4674831081081, "sum": 765.4674831081081, "min": 765.4674831081081}}, "EndTime": 1527683321.408598, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.408584} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=4, validation absolute_loss_objective <loss>=367.635794975 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=4, criteria=absolute_loss_objective, value=247.824185758 [05/30/2018 12:28:41 INFO 140011176339264] Epoch 4: Loss improved. Updating best model [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 50 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 31, "sum": 31.0, "min": 31}, "Total Records Seen": {"count": 1, "max": 2764, "sum": 2764.0, "min": 2764}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 7, "sum": 7.0, "min": 7}}, "EndTime": 1527683321.410184, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 4}, "StartTime": 1527683321.410138} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3527.72990083 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48330294609069824, "sum": 0.48330294609069824, "min": 0.48330294609069824}}, "EndTime": 1527683321.503446, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.503356} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.46625773429870604, "sum": 0.46625773429870604, "min": 0.46625773429870604}}, "EndTime": 1527683321.50355, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50353} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48777586936950684, "sum": 0.48777586936950684, "min": 0.48777586936950684}}, "EndTime": 1527683321.503642, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.503623} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48065911293029784, "sum": 0.48065911293029784, "min": 0.48065911293029784}}, "EndTime": 1527683321.503701, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.503685} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5562555885314941, "sum": 0.5562555885314941, "min": 0.5562555885314941}}, "EndTime": 1527683321.503791, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50374} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5629781246185303, "sum": 0.5629781246185303, "min": 0.5629781246185303}}, "EndTime": 1527683321.503856, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50384} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5683708477020264, "sum": 0.5683708477020264, "min": 0.5683708477020264}}, "EndTime": 1527683321.503905, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.503892} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5360305309295654, "sum": 0.5360305309295654, "min": 0.5360305309295654}}, "EndTime": 1527683321.504, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.503981} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.47520454406738283, "sum": 0.47520454406738283, "min": 0.47520454406738283}}, "EndTime": 1527683321.504056, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504041} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.47264183044433594, "sum": 0.47264183044433594, "min": 0.47264183044433594}}, "EndTime": 1527683321.50414, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504092} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4514324760437012, "sum": 0.4514324760437012, "min": 0.4514324760437012}}, "EndTime": 1527683321.5042, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504183} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5236135578155517, "sum": 0.5236135578155517, "min": 0.5236135578155517}}, "EndTime": 1527683321.504255, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504239} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5773623657226562, "sum": 0.5773623657226562, "min": 0.5773623657226562}}, "EndTime": 1527683321.504389, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504369} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5381541824340821, "sum": 0.5381541824340821, "min": 0.5381541824340821}}, "EndTime": 1527683321.504522, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504501} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5610473537445069, "sum": 0.5610473537445069, "min": 0.5610473537445069}}, "EndTime": 1527683321.504622, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504602} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5547439289093018, "sum": 0.5547439289093018, "min": 0.5547439289093018}}, "EndTime": 1527683321.504719, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504701} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.46256035804748535, "sum": 0.46256035804748535, "min": 0.46256035804748535}}, "EndTime": 1527683321.504776, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50476} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4568257713317871, "sum": 0.4568257713317871, "min": 0.4568257713317871}}, "EndTime": 1527683321.504866, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504847} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.45865736961364745, "sum": 0.45865736961364745, "min": 0.45865736961364745}}, "EndTime": 1527683321.504927, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504911} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4722637367248535, "sum": 0.4722637367248535, "min": 0.4722637367248535}}, "EndTime": 1527683321.505017, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.504969} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5355520153045654, "sum": 0.5355520153045654, "min": 0.5355520153045654}}, "EndTime": 1527683321.50508, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505063} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5564200019836426, "sum": 0.5564200019836426, "min": 0.5564200019836426}}, "EndTime": 1527683321.505136, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50512} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5723998355865478, "sum": 0.5723998355865478, "min": 0.5723998355865478}}, "EndTime": 1527683321.505229, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505211} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5822663688659668, "sum": 0.5822663688659668, "min": 0.5822663688659668}}, "EndTime": 1527683321.5053, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50527} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8005051612854004, "sum": 0.8005051612854004, "min": 0.8005051612854004}}, "EndTime": 1527683321.505398, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505378} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7749679279327393, "sum": 0.7749679279327393, "min": 0.7749679279327393}}, "EndTime": 1527683321.505457, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505441} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8031827735900879, "sum": 0.8031827735900879, "min": 0.8031827735900879}}, "EndTime": 1527683321.505545, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505525} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8005976390838623, "sum": 0.8005976390838623, "min": 0.8005976390838623}}, "EndTime": 1527683321.505633, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505618} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7744980049133301, "sum": 0.7744980049133301, "min": 0.7744980049133301}}, "EndTime": 1527683321.505686, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.50567} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7495194149017333, "sum": 0.7495194149017333, "min": 0.7495194149017333}}, "EndTime": 1527683321.505774, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505756} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8158587074279785, "sum": 0.8158587074279785, "min": 0.8158587074279785}}, "EndTime": 1527683321.505857, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505839} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7532554626464844, "sum": 0.7532554626464844, "min": 0.7532554626464844}}, "EndTime": 1527683321.505912, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.505897} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=5, train absolute_loss_objective <loss>=0.483302946091 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 305.5017947635135, "sum": 305.5017947635135, "min": 305.5017947635135}}, "EndTime": 1527683321.559502, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.55943} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 294.76344752956084, "sum": 294.76344752956084, "min": 294.76344752956084}}, "EndTime": 1527683321.559575, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559562} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 345.48653927364865, "sum": 345.48653927364865, "min": 345.48653927364865}}, "EndTime": 1527683321.559646, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559617} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 294.2372255067568, "sum": 294.2372255067568, "min": 294.2372255067568}}, "EndTime": 1527683321.5597, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559687} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 283.5424342799831, "sum": 283.5424342799831, "min": 283.5424342799831}}, "EndTime": 1527683321.559753, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559738} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 293.84305057010135, "sum": 293.84305057010135, "min": 293.84305057010135}}, "EndTime": 1527683321.559809, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559792} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 283.30077465160474, "sum": 283.30077465160474, "min": 283.30077465160474}}, "EndTime": 1527683321.559862, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559848} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 294.0653900971284, "sum": 294.0653900971284, "min": 294.0653900971284}}, "EndTime": 1527683321.559912, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559898} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 257.29211095861484, "sum": 257.29211095861484, "min": 257.29211095861484}}, "EndTime": 1527683321.559963, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.559948} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 300.0742847339527, "sum": 300.0742847339527, "min": 300.0742847339527}}, "EndTime": 1527683321.560015, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560001} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 242.80626451646958, "sum": 242.80626451646958, "min": 242.80626451646958}}, "EndTime": 1527683321.560068, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560052} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 423.4511058910473, "sum": 423.4511058910473, "min": 423.4511058910473}}, "EndTime": 1527683321.56012, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560105} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 245.65242293074326, "sum": 245.65242293074326, "min": 245.65242293074326}}, "EndTime": 1527683321.560177, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560161} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 271.9977103568412, "sum": 271.9977103568412, "min": 271.9977103568412}}, "EndTime": 1527683321.560231, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560216} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 256.1861407305743, "sum": 256.1861407305743, "min": 256.1861407305743}}, "EndTime": 1527683321.560285, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.56027} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 277.2872413429054, "sum": 277.2872413429054, "min": 277.2872413429054}}, "EndTime": 1527683321.560368, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560351} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 243.8650298247466, "sum": 243.8650298247466, "min": 243.8650298247466}}, "EndTime": 1527683321.560422, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560407} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 270.6182036528716, "sum": 270.6182036528716, "min": 270.6182036528716}}, "EndTime": 1527683321.560473, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560458} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 243.0783493454392, "sum": 243.0783493454392, "min": 243.0783493454392}}, "EndTime": 1527683321.560526, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560511} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 268.1529639991554, "sum": 268.1529639991554, "min": 268.1529639991554}}, "EndTime": 1527683321.560576, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560562} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 285.44214527027026, "sum": 285.44214527027026, "min": 285.44214527027026}}, "EndTime": 1527683321.560627, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560613} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 285.3885399070946, "sum": 285.3885399070946, "min": 285.3885399070946}}, "EndTime": 1527683321.560681, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560666} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 322.4180215371622, "sum": 322.4180215371622, "min": 322.4180215371622}}, "EndTime": 1527683321.560733, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560718} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 277.7176876583615, "sum": 277.7176876583615, "min": 277.7176876583615}}, "EndTime": 1527683321.560785, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.56077} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 886.7127850506756, "sum": 886.7127850506756, "min": 886.7127850506756}}, "EndTime": 1527683321.560838, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560823} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 820.4664537584459, "sum": 820.4664537584459, "min": 820.4664537584459}}, "EndTime": 1527683321.560893, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560877} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 859.350269214527, "sum": 859.350269214527, "min": 859.350269214527}}, "EndTime": 1527683321.560949, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560933} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 884.4585620777027, "sum": 884.4585620777027, "min": 884.4585620777027}}, "EndTime": 1527683321.561005, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.560989} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 718.8765572212837, "sum": 718.8765572212837, "min": 718.8765572212837}}, "EndTime": 1527683321.561059, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.561044} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 627.3047930743244, "sum": 627.3047930743244, "min": 627.3047930743244}}, "EndTime": 1527683321.561113, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.561098} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 644.8275443412163, "sum": 644.8275443412163, "min": 644.8275443412163}}, "EndTime": 1527683321.561172, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.561156} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 741.2358794341217, "sum": 741.2358794341217, "min": 741.2358794341217}}, "EndTime": 1527683321.561226, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.561211} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=5, validation absolute_loss_objective <loss>=305.501794764 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=5, criteria=absolute_loss_objective, value=242.806264516 [05/30/2018 12:28:41 INFO 140011176339264] Epoch 5: Loss improved. Updating best model [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 60 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 36, "sum": 36.0, "min": 36}, "Total Records Seen": {"count": 1, "max": 3208, "sum": 3208.0, "min": 3208}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 8, "sum": 8.0, "min": 8}}, "EndTime": 1527683321.562725, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 5}, "StartTime": 1527683321.562672} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=2913.5769451 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4633786106109619, "sum": 0.4633786106109619, "min": 0.4633786106109619}}, "EndTime": 1527683321.632957, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.632908} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4502444362640381, "sum": 0.4502444362640381, "min": 0.4502444362640381}}, "EndTime": 1527683321.63302, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633008} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.46509345054626466, "sum": 0.46509345054626466, "min": 0.46509345054626466}}, "EndTime": 1527683321.633074, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633059} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.46303744316101075, "sum": 0.46303744316101075, "min": 0.46303744316101075}}, "EndTime": 1527683321.633116, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633103} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.581446533203125, "sum": 0.581446533203125, "min": 0.581446533203125}}, "EndTime": 1527683321.633177, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.63316} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5876897525787353, "sum": 0.5876897525787353, "min": 0.5876897525787353}}, "EndTime": 1527683321.633234, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633219} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5651266193389892, "sum": 0.5651266193389892, "min": 0.5651266193389892}}, "EndTime": 1527683321.633301, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633284} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5092543029785156, "sum": 0.5092543029785156, "min": 0.5092543029785156}}, "EndTime": 1527683321.633365, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633349} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4483655452728271, "sum": 0.4483655452728271, "min": 0.4483655452728271}}, "EndTime": 1527683321.633427, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633411} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4586746501922607, "sum": 0.4586746501922607, "min": 0.4586746501922607}}, "EndTime": 1527683321.633488, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633473} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4421317958831787, "sum": 0.4421317958831787, "min": 0.4421317958831787}}, "EndTime": 1527683321.633543, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633528} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4898230075836182, "sum": 0.4898230075836182, "min": 0.4898230075836182}}, "EndTime": 1527683321.633593, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633578} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.556180944442749, "sum": 0.556180944442749, "min": 0.556180944442749}}, "EndTime": 1527683321.633643, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633629} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5385972404479981, "sum": 0.5385972404479981, "min": 0.5385972404479981}}, "EndTime": 1527683321.633694, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633679} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5444493675231934, "sum": 0.5444493675231934, "min": 0.5444493675231934}}, "EndTime": 1527683321.633748, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633732} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5798522186279297, "sum": 0.5798522186279297, "min": 0.5798522186279297}}, "EndTime": 1527683321.633803, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633787} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4507486629486084, "sum": 0.4507486629486084, "min": 0.4507486629486084}}, "EndTime": 1527683321.633858, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633842} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44741250038146974, "sum": 0.44741250038146974, "min": 0.44741250038146974}}, "EndTime": 1527683321.633911, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633896} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44860281944274905, "sum": 0.44860281944274905, "min": 0.44860281944274905}}, "EndTime": 1527683321.633966, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.633951} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.45646100997924804, "sum": 0.45646100997924804, "min": 0.45646100997924804}}, "EndTime": 1527683321.634021, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634005} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.580478687286377, "sum": 0.580478687286377, "min": 0.580478687286377}}, "EndTime": 1527683321.634076, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634061} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5722110557556153, "sum": 0.5722110557556153, "min": 0.5722110557556153}}, "EndTime": 1527683321.634139, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634123} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5425775814056396, "sum": 0.5425775814056396, "min": 0.5425775814056396}}, "EndTime": 1527683321.634192, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634178} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5847881221771241, "sum": 0.5847881221771241, "min": 0.5847881221771241}}, "EndTime": 1527683321.63425, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634235} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8029363536834717, "sum": 0.8029363536834717, "min": 0.8029363536834717}}, "EndTime": 1527683321.634309, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634292} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7774000072479248, "sum": 0.7774000072479248, "min": 0.7774000072479248}}, "EndTime": 1527683321.634366, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.63435} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8034943389892578, "sum": 0.8034943389892578, "min": 0.8034943389892578}}, "EndTime": 1527683321.634426, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.63441} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7976539039611816, "sum": 0.7976539039611816, "min": 0.7976539039611816}}, "EndTime": 1527683321.634484, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634469} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8386454963684082, "sum": 0.8386454963684082, "min": 0.8386454963684082}}, "EndTime": 1527683321.634537, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634523} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8660074996948243, "sum": 0.8660074996948243, "min": 0.8660074996948243}}, "EndTime": 1527683321.634581, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634567} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8315261650085449, "sum": 0.8315261650085449, "min": 0.8315261650085449}}, "EndTime": 1527683321.634638, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634622} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8542384910583496, "sum": 0.8542384910583496, "min": 0.8542384910583496}}, "EndTime": 1527683321.634685, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.634671} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=6, train absolute_loss_objective <loss>=0.463378610611 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 269.9347484691723, "sum": 269.9347484691723, "min": 269.9347484691723}}, "EndTime": 1527683321.681098, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681048} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 260.80276736697635, "sum": 260.80276736697635, "min": 260.80276736697635}}, "EndTime": 1527683321.681172, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681154} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 290.7632099873311, "sum": 290.7632099873311, "min": 290.7632099873311}}, "EndTime": 1527683321.681235, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681217} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 262.2203798036318, "sum": 262.2203798036318, "min": 262.2203798036318}}, "EndTime": 1527683321.681289, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681273} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 311.05310388513516, "sum": 311.05310388513516, "min": 311.05310388513516}}, "EndTime": 1527683321.681345, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681329} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 271.05762378589526, "sum": 271.05762378589526, "min": 271.05762378589526}}, "EndTime": 1527683321.681402, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681386} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 282.92621014569255, "sum": 282.92621014569255, "min": 282.92621014569255}}, "EndTime": 1527683321.681457, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681442} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 263.7096046241554, "sum": 263.7096046241554, "min": 263.7096046241554}}, "EndTime": 1527683321.68151, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681495} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 239.06874208192568, "sum": 239.06874208192568, "min": 239.06874208192568}}, "EndTime": 1527683321.681573, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681556} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 265.36095861486484, "sum": 265.36095861486484, "min": 265.36095861486484}}, "EndTime": 1527683321.68163, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681615} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 247.29358899915542, "sum": 247.29358899915542, "min": 247.29358899915542}}, "EndTime": 1527683321.681684, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681669} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 339.60955975506755, "sum": 339.60955975506755, "min": 339.60955975506755}}, "EndTime": 1527683321.68174, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681724} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 284.7714579814189, "sum": 284.7714579814189, "min": 284.7714579814189}}, "EndTime": 1527683321.681795, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.68178} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 270.30891047297297, "sum": 270.30891047297297, "min": 270.30891047297297}}, "EndTime": 1527683321.681847, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681832} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 276.11700274493245, "sum": 276.11700274493245, "min": 276.11700274493245}}, "EndTime": 1527683321.681901, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681885} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 288.21407833614865, "sum": 288.21407833614865, "min": 288.21407833614865}}, "EndTime": 1527683321.681955, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.68194} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 234.12513856630068, "sum": 234.12513856630068, "min": 234.12513856630068}}, "EndTime": 1527683321.68201, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.681994} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 256.44601192989865, "sum": 256.44601192989865, "min": 256.44601192989865}}, "EndTime": 1527683321.682064, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682049} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 237.0427444045608, "sum": 237.0427444045608, "min": 237.0427444045608}}, "EndTime": 1527683321.682117, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682103} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 242.93660261824326, "sum": 242.93660261824326, "min": 242.93660261824326}}, "EndTime": 1527683321.682172, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682156} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 307.1468208931588, "sum": 307.1468208931588, "min": 307.1468208931588}}, "EndTime": 1527683321.682225, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.68221} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 312.15741131756755, "sum": 312.15741131756755, "min": 312.15741131756755}}, "EndTime": 1527683321.682276, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682261} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 277.7752850506757, "sum": 277.7752850506757, "min": 277.7752850506757}}, "EndTime": 1527683321.682329, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682314} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 318.6883182010135, "sum": 318.6883182010135, "min": 318.6883182010135}}, "EndTime": 1527683321.682381, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682367} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 881.1151551942568, "sum": 881.1151551942568, "min": 881.1151551942568}}, "EndTime": 1527683321.682434, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682419} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 825.5422033361486, "sum": 825.5422033361486, "min": 825.5422033361486}}, "EndTime": 1527683321.682497, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.68248} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 849.503932643581, "sum": 849.503932643581, "min": 849.503932643581}}, "EndTime": 1527683321.682551, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682536} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 866.8961148648649, "sum": 866.8961148648649, "min": 866.8961148648649}}, "EndTime": 1527683321.682604, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682588} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 697.8207347972973, "sum": 697.8207347972973, "min": 697.8207347972973}}, "EndTime": 1527683321.682658, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682642} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 825.683277027027, "sum": 825.683277027027, "min": 825.683277027027}}, "EndTime": 1527683321.68271, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682694} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 814.5470333614865, "sum": 814.5470333614865, "min": 814.5470333614865}}, "EndTime": 1527683321.682763, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.682747} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 769.2677100929054, "sum": 769.2677100929054, "min": 769.2677100929054}}, "EndTime": 1527683321.682815, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.6828} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=6, validation absolute_loss_objective <loss>=269.934748469 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=6, criteria=absolute_loss_objective, value=234.125138566 [05/30/2018 12:28:41 INFO 140011176339264] Epoch 6: Loss improved. Updating best model [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 70 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 41, "sum": 41.0, "min": 41}, "Total Records Seen": {"count": 1, "max": 3652, "sum": 3652.0, "min": 3652}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 9, "sum": 9.0, "min": 9}}, "EndTime": 1527683321.684281, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 6}, "StartTime": 1527683321.684226} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3649.60819651 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.45136120796203616, "sum": 0.45136120796203616, "min": 0.45136120796203616}}, "EndTime": 1527683321.75692, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.756869} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4423210525512695, "sum": 0.4423210525512695, "min": 0.4423210525512695}}, "EndTime": 1527683321.756986, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.756974} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4496480369567871, "sum": 0.4496480369567871, "min": 0.4496480369567871}}, "EndTime": 1527683321.757039, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757024} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4528251838684082, "sum": 0.4528251838684082, "min": 0.4528251838684082}}, "EndTime": 1527683321.757072, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757064} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5140739250183105, "sum": 0.5140739250183105, "min": 0.5140739250183105}}, "EndTime": 1527683321.757115, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757101} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5101063442230225, "sum": 0.5101063442230225, "min": 0.5101063442230225}}, "EndTime": 1527683321.757169, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757153} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.509605016708374, "sum": 0.509605016708374, "min": 0.509605016708374}}, "EndTime": 1527683321.757223, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757207} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5399663734436035, "sum": 0.5399663734436035, "min": 0.5399663734436035}}, "EndTime": 1527683321.757276, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757261} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43836782455444334, "sum": 0.43836782455444334, "min": 0.43836782455444334}}, "EndTime": 1527683321.757334, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757318} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4519587230682373, "sum": 0.4519587230682373, "min": 0.4519587230682373}}, "EndTime": 1527683321.757391, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757375} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43741229057312014, "sum": 0.43741229057312014, "min": 0.43741229057312014}}, "EndTime": 1527683321.757448, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757432} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.46693169593811035, "sum": 0.46693169593811035, "min": 0.46693169593811035}}, "EndTime": 1527683321.757504, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757488} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5122381973266602, "sum": 0.5122381973266602, "min": 0.5122381973266602}}, "EndTime": 1527683321.757559, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757543} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4763371753692627, "sum": 0.4763371753692627, "min": 0.4763371753692627}}, "EndTime": 1527683321.757613, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757598} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4969275188446045, "sum": 0.4969275188446045, "min": 0.4969275188446045}}, "EndTime": 1527683321.757668, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757652} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4899178123474121, "sum": 0.4899178123474121, "min": 0.4899178123474121}}, "EndTime": 1527683321.757722, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757707} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44481475830078127, "sum": 0.44481475830078127, "min": 0.44481475830078127}}, "EndTime": 1527683321.757776, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.75776} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4435693550109863, "sum": 0.4435693550109863, "min": 0.4435693550109863}}, "EndTime": 1527683321.75783, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757815} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4437411689758301, "sum": 0.4437411689758301, "min": 0.4437411689758301}}, "EndTime": 1527683321.757885, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.75787} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4495435333251953, "sum": 0.4495435333251953, "min": 0.4495435333251953}}, "EndTime": 1527683321.757938, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757922} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.515180253982544, "sum": 0.515180253982544, "min": 0.515180253982544}}, "EndTime": 1527683321.757991, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.757976} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5060365200042725, "sum": 0.5060365200042725, "min": 0.5060365200042725}}, "EndTime": 1527683321.758044, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758028} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5192832279205323, "sum": 0.5192832279205323, "min": 0.5192832279205323}}, "EndTime": 1527683321.758098, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758083} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.525794324874878, "sum": 0.525794324874878, "min": 0.525794324874878}}, "EndTime": 1527683321.758154, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758138} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8027051258087158, "sum": 0.8027051258087158, "min": 0.8027051258087158}}, "EndTime": 1527683321.758209, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758194} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7813176536560058, "sum": 0.7813176536560058, "min": 0.7813176536560058}}, "EndTime": 1527683321.758263, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758247} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7979899311065674, "sum": 0.7979899311065674, "min": 0.7979899311065674}}, "EndTime": 1527683321.758318, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758302} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7940388298034669, "sum": 0.7940388298034669, "min": 0.7940388298034669}}, "EndTime": 1527683321.758371, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758355} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8632603645324707, "sum": 0.8632603645324707, "min": 0.8632603645324707}}, "EndTime": 1527683321.758424, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758409} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8861034202575684, "sum": 0.8861034202575684, "min": 0.8861034202575684}}, "EndTime": 1527683321.758478, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758463} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8796372413635254, "sum": 0.8796372413635254, "min": 0.8796372413635254}}, "EndTime": 1527683321.758532, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758516} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8436418533325195, "sum": 0.8436418533325195, "min": 0.8436418533325195}}, "EndTime": 1527683321.758584, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.758568} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=7, train absolute_loss_objective <loss>=0.451361207962 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 252.2973236908784, "sum": 252.2973236908784, "min": 252.2973236908784}}, "EndTime": 1527683321.807754, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.807686} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 249.87467008023648, "sum": 249.87467008023648, "min": 249.87467008023648}}, "EndTime": 1527683321.807832, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.807817} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 261.46756228885135, "sum": 261.46756228885135, "min": 261.46756228885135}}, "EndTime": 1527683321.807925, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.80787} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 248.6275073902027, "sum": 248.6275073902027, "min": 248.6275073902027}}, "EndTime": 1527683321.807979, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.807967} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 329.69028452280406, "sum": 329.69028452280406, "min": 329.69028452280406}}, "EndTime": 1527683321.808021, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808011} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 261.91039379222974, "sum": 261.91039379222974, "min": 261.91039379222974}}, "EndTime": 1527683321.808062, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808052} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 274.9153953758446, "sum": 274.9153953758446, "min": 274.9153953758446}}, "EndTime": 1527683321.808102, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808092} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 322.1928315033784, "sum": 322.1928315033784, "min": 322.1928315033784}}, "EndTime": 1527683321.808149, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808138} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 239.12934174408784, "sum": 239.12934174408784, "min": 239.12934174408784}}, "EndTime": 1527683321.80819, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.80818} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 252.29578626478042, "sum": 252.29578626478042, "min": 252.29578626478042}}, "EndTime": 1527683321.808229, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808219} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 251.5136058910473, "sum": 251.5136058910473, "min": 251.5136058910473}}, "EndTime": 1527683321.808275, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808264} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 287.0753470755912, "sum": 287.0753470755912, "min": 287.0753470755912}}, "EndTime": 1527683321.808432, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808416} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 300.3926441089527, "sum": 300.3926441089527, "min": 300.3926441089527}}, "EndTime": 1527683321.808476, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808465} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 283.1822080869932, "sum": 283.1822080869932, "min": 283.1822080869932}}, "EndTime": 1527683321.808515, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808505} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 291.27439426731416, "sum": 291.27439426731416, "min": 291.27439426731416}}, "EndTime": 1527683321.808556, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808546} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 271.77443385768584, "sum": 271.77443385768584, "min": 271.77443385768584}}, "EndTime": 1527683321.808598, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808588} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 234.2165263407939, "sum": 234.2165263407939, "min": 234.2165263407939}}, "EndTime": 1527683321.808638, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808627} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 253.31715186866555, "sum": 253.31715186866555, "min": 253.31715186866555}}, "EndTime": 1527683321.808676, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808666} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 235.82381624788852, "sum": 235.82381624788852, "min": 235.82381624788852}}, "EndTime": 1527683321.808715, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808705} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 235.81069863809122, "sum": 235.81069863809122, "min": 235.81069863809122}}, "EndTime": 1527683321.808753, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808743} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 241.84504988386826, "sum": 241.84504988386826, "min": 241.84504988386826}}, "EndTime": 1527683321.808791, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808782} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 232.08583192567568, "sum": 232.08583192567568, "min": 232.08583192567568}}, "EndTime": 1527683321.808833, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808822} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 248.6371410472973, "sum": 248.6371410472973, "min": 248.6371410472973}}, "EndTime": 1527683321.808872, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808862} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 247.0591282200169, "sum": 247.0591282200169, "min": 247.0591282200169}}, "EndTime": 1527683321.80891, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.8089} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 865.715846706081, "sum": 865.715846706081, "min": 865.715846706081}}, "EndTime": 1527683321.808949, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808939} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 833.4596706081081, "sum": 833.4596706081081, "min": 833.4596706081081}}, "EndTime": 1527683321.808987, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.808977} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 835.5626055743244, "sum": 835.5626055743244, "min": 835.5626055743244}}, "EndTime": 1527683321.809026, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.809016} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 846.9002322635135, "sum": 846.9002322635135, "min": 846.9002322635135}}, "EndTime": 1527683321.809064, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.809054} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 886.5062024915541, "sum": 886.5062024915541, "min": 886.5062024915541}}, "EndTime": 1527683321.809102, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.809093} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 803.5129592483108, "sum": 803.5129592483108, "min": 803.5129592483108}}, "EndTime": 1527683321.809143, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.809133} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 873.3168549408783, "sum": 873.3168549408783, "min": 873.3168549408783}}, "EndTime": 1527683321.809182, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.809172} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 812.0792863175676, "sum": 812.0792863175676, "min": 812.0792863175676}}, "EndTime": 1527683321.80922, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.80921} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=7, validation absolute_loss_objective <loss>=252.297323691 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=7, criteria=absolute_loss_objective, value=232.085831926 [05/30/2018 12:28:41 INFO 140011176339264] Epoch 7: Loss improved. Updating best model [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 80 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 46, "sum": 46.0, "min": 46}, "Total Records Seen": {"count": 1, "max": 4096, "sum": 4096.0, "min": 4096}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 10, "sum": 10.0, "min": 10}}, "EndTime": 1527683321.810733, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 7}, "StartTime": 1527683321.810683} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3525.87978159 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.444371862411499, "sum": 0.444371862411499, "min": 0.444371862411499}}, "EndTime": 1527683321.884186, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884135} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43572078704833983, "sum": 0.43572078704833983, "min": 0.43572078704833983}}, "EndTime": 1527683321.884258, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884241} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43975948333740233, "sum": 0.43975948333740233, "min": 0.43975948333740233}}, "EndTime": 1527683321.884347, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884328} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44562291145324706, "sum": 0.44562291145324706, "min": 0.44562291145324706}}, "EndTime": 1527683321.884406, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.88439} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.47254506111145017, "sum": 0.47254506111145017, "min": 0.47254506111145017}}, "EndTime": 1527683321.884464, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884448} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.519850664138794, "sum": 0.519850664138794, "min": 0.519850664138794}}, "EndTime": 1527683321.884529, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884511} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5173702049255371, "sum": 0.5173702049255371, "min": 0.5173702049255371}}, "EndTime": 1527683321.884596, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884579} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5253379917144776, "sum": 0.5253379917144776, "min": 0.5253379917144776}}, "EndTime": 1527683321.884661, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884644} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4358213710784912, "sum": 0.4358213710784912, "min": 0.4358213710784912}}, "EndTime": 1527683321.884724, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884708} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.444844388961792, "sum": 0.444844388961792, "min": 0.444844388961792}}, "EndTime": 1527683321.884779, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884763} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4340740966796875, "sum": 0.4340740966796875, "min": 0.4340740966796875}}, "EndTime": 1527683321.884833, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884817} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.45237080574035643, "sum": 0.45237080574035643, "min": 0.45237080574035643}}, "EndTime": 1527683321.884886, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.88487} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5126924228668213, "sum": 0.5126924228668213, "min": 0.5126924228668213}}, "EndTime": 1527683321.884934, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.88492} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4942359161376953, "sum": 0.4942359161376953, "min": 0.4942359161376953}}, "EndTime": 1527683321.884986, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.884971} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5060035419464112, "sum": 0.5060035419464112, "min": 0.5060035419464112}}, "EndTime": 1527683321.885047, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885031} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5076322078704834, "sum": 0.5076322078704834, "min": 0.5076322078704834}}, "EndTime": 1527683321.885112, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885095} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44067994117736814, "sum": 0.44067994117736814, "min": 0.44067994117736814}}, "EndTime": 1527683321.885176, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885159} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4415975856781006, "sum": 0.4415975856781006, "min": 0.4415975856781006}}, "EndTime": 1527683321.885239, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885222} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44126554489135744, "sum": 0.44126554489135744, "min": 0.44126554489135744}}, "EndTime": 1527683321.885291, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885277} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4467666721343994, "sum": 0.4467666721343994, "min": 0.4467666721343994}}, "EndTime": 1527683321.885344, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885329} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4996172523498535, "sum": 0.4996172523498535, "min": 0.4996172523498535}}, "EndTime": 1527683321.885397, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885382} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5023530292510986, "sum": 0.5023530292510986, "min": 0.5023530292510986}}, "EndTime": 1527683321.885459, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885443} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5208283615112305, "sum": 0.5208283615112305, "min": 0.5208283615112305}}, "EndTime": 1527683321.885524, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885507} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.49257420539855956, "sum": 0.49257420539855956, "min": 0.49257420539855956}}, "EndTime": 1527683321.885582, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885566} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7975675582885742, "sum": 0.7975675582885742, "min": 0.7975675582885742}}, "EndTime": 1527683321.885642, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885627} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7878410243988037, "sum": 0.7878410243988037, "min": 0.7878410243988037}}, "EndTime": 1527683321.885697, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885682} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7922592258453369, "sum": 0.7922592258453369, "min": 0.7922592258453369}}, "EndTime": 1527683321.885751, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885736} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7913870811462402, "sum": 0.7913870811462402, "min": 0.7913870811462402}}, "EndTime": 1527683321.885805, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885789} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.843587646484375, "sum": 0.843587646484375, "min": 0.843587646484375}}, "EndTime": 1527683321.885859, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885844} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8082780170440674, "sum": 0.8082780170440674, "min": 0.8082780170440674}}, "EndTime": 1527683321.885913, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885898} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8207416343688965, "sum": 0.8207416343688965, "min": 0.8207416343688965}}, "EndTime": 1527683321.885955, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885942} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8363063144683838, "sum": 0.8363063144683838, "min": 0.8363063144683838}}, "EndTime": 1527683321.886012, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.885997} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=8, train absolute_loss_objective <loss>=0.444371862411 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 248.30826383023648, "sum": 248.30826383023648, "min": 248.30826383023648}}, "EndTime": 1527683321.925688, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.925643} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 248.00081160261826, "sum": 248.00081160261826, "min": 248.00081160261826}}, "EndTime": 1527683321.925748, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.925736} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 249.3854782516892, "sum": 249.3854782516892, "min": 249.3854782516892}}, "EndTime": 1527683321.925804, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.925788} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 246.68717667863174, "sum": 246.68717667863174, "min": 246.68717667863174}}, "EndTime": 1527683321.925861, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.925845} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 270.3047006967905, "sum": 270.3047006967905, "min": 270.3047006967905}}, "EndTime": 1527683321.925919, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.925903} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 275.0529257284628, "sum": 275.0529257284628, "min": 275.0529257284628}}, "EndTime": 1527683321.925972, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.925956} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 265.96642736486484, "sum": 265.96642736486484, "min": 265.96642736486484}}, "EndTime": 1527683321.926026, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926011} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 259.8085409628378, "sum": 259.8085409628378, "min": 259.8085409628378}}, "EndTime": 1527683321.926079, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926064} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 246.63692989864865, "sum": 246.63692989864865, "min": 246.63692989864865}}, "EndTime": 1527683321.926143, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926126} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 249.65271326013513, "sum": 249.65271326013513, "min": 249.65271326013513}}, "EndTime": 1527683321.926205, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926188} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 252.92863175675674, "sum": 252.92863175675674, "min": 252.92863175675674}}, "EndTime": 1527683321.926268, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926251} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 259.61291173986484, "sum": 259.61291173986484, "min": 259.61291173986484}}, "EndTime": 1527683321.926322, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926307} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 286.1275733741554, "sum": 286.1275733741554, "min": 286.1275733741554}}, "EndTime": 1527683321.926372, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.92636} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 258.37023595861484, "sum": 258.37023595861484, "min": 258.37023595861484}}, "EndTime": 1527683321.926411, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926398} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 264.17486407305745, "sum": 264.17486407305745, "min": 264.17486407305745}}, "EndTime": 1527683321.926456, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926446} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 267.70246516047297, "sum": 267.70246516047297, "min": 267.70246516047297}}, "EndTime": 1527683321.926505, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.92649} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 237.12567303631758, "sum": 237.12567303631758, "min": 237.12567303631758}}, "EndTime": 1527683321.926567, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.92655} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 255.5705830342061, "sum": 255.5705830342061, "min": 255.5705830342061}}, "EndTime": 1527683321.926631, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926614} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 236.89658335092906, "sum": 236.89658335092906, "min": 236.89658335092906}}, "EndTime": 1527683321.926695, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926678} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 236.29941538217906, "sum": 236.29941538217906, "min": 236.29941538217906}}, "EndTime": 1527683321.926753, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926737} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 244.92468591638513, "sum": 244.92468591638513, "min": 244.92468591638513}}, "EndTime": 1527683321.926815, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926799} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 264.80731366131755, "sum": 264.80731366131755, "min": 264.80731366131755}}, "EndTime": 1527683321.926869, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926854} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 276.5316722972973, "sum": 276.5316722972973, "min": 276.5316722972973}}, "EndTime": 1527683321.926921, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926907} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 251.47655590160474, "sum": 251.47655590160474, "min": 251.47655590160474}}, "EndTime": 1527683321.926972, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.926957} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 844.5018475506756, "sum": 844.5018475506756, "min": 844.5018475506756}}, "EndTime": 1527683321.927023, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927009} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 841.8567356418919, "sum": 841.8567356418919, "min": 841.8567356418919}}, "EndTime": 1527683321.927073, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927059} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 827.2755225929054, "sum": 827.2755225929054, "min": 827.2755225929054}}, "EndTime": 1527683321.927108, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927096} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 831.1587573902027, "sum": 831.1587573902027, "min": 831.1587573902027}}, "EndTime": 1527683321.927162, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927145} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 831.0242820945946, "sum": 831.0242820945946, "min": 831.0242820945946}}, "EndTime": 1527683321.927226, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927209} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 861.998997043919, "sum": 861.998997043919, "min": 861.998997043919}}, "EndTime": 1527683321.927283, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927267} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 832.9468961148649, "sum": 832.9468961148649, "min": 832.9468961148649}}, "EndTime": 1527683321.927336, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927321} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 836.1600242820946, "sum": 836.1600242820946, "min": 836.1600242820946}}, "EndTime": 1527683321.927388, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.927373} [05/30/2018 12:28:41 INFO 140011176339264] #quality_metric: host=algo-1, epoch=8, validation absolute_loss_objective <loss>=248.30826383 [05/30/2018 12:28:41 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=8, criteria=absolute_loss_objective, value=236.299415382 [05/30/2018 12:28:41 INFO 140011176339264] #progress_metric: host=algo-1, completed 90 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 51, "sum": 51.0, "min": 51}, "Total Records Seen": {"count": 1, "max": 4540, "sum": 4540.0, "min": 4540}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 11, "sum": 11.0, "min": 11}}, "EndTime": 1527683321.928174, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 8}, "StartTime": 1527683321.928129} [05/30/2018 12:28:41 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3787.16653787 records/second #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4384482479095459, "sum": 0.4384482479095459, "min": 0.4384482479095459}}, "EndTime": 1527683322.00395, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.003899} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4299061012268066, "sum": 0.4299061012268066, "min": 0.4299061012268066}}, "EndTime": 1527683322.004013, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004001} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4330372905731201, "sum": 0.4330372905731201, "min": 0.4330372905731201}}, "EndTime": 1527683322.004068, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004052} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44024752616882323, "sum": 0.44024752616882323, "min": 0.44024752616882323}}, "EndTime": 1527683322.004108, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004098} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4834707069396973, "sum": 0.4834707069396973, "min": 0.4834707069396973}}, "EndTime": 1527683322.004157, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004143} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.5116776752471924, "sum": 0.5116776752471924, "min": 0.5116776752471924}}, "EndTime": 1527683322.004211, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004195} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48420713424682615, "sum": 0.48420713424682615, "min": 0.48420713424682615}}, "EndTime": 1527683322.004267, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.00425} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4716308975219727, "sum": 0.4716308975219727, "min": 0.4716308975219727}}, "EndTime": 1527683322.004359, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004342} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4335483169555664, "sum": 0.4335483169555664, "min": 0.4335483169555664}}, "EndTime": 1527683322.004426, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004408} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43785479545593264, "sum": 0.43785479545593264, "min": 0.43785479545593264}}, "EndTime": 1527683322.004488, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004472} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43087392807006836, "sum": 0.43087392807006836, "min": 0.43087392807006836}}, "EndTime": 1527683322.004551, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004535} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4426753997802734, "sum": 0.4426753997802734, "min": 0.4426753997802734}}, "EndTime": 1527683322.004605, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004591} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4927253818511963, "sum": 0.4927253818511963, "min": 0.4927253818511963}}, "EndTime": 1527683322.004657, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004642} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48064534187316893, "sum": 0.48064534187316893, "min": 0.48064534187316893}}, "EndTime": 1527683322.004716, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004701} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.475029354095459, "sum": 0.475029354095459, "min": 0.475029354095459}}, "EndTime": 1527683322.004769, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004754} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4872477912902832, "sum": 0.4872477912902832, "min": 0.4872477912902832}}, "EndTime": 1527683322.004833, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004816} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.43926673889160156, "sum": 0.43926673889160156, "min": 0.43926673889160156}}, "EndTime": 1527683322.004897, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.00488} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.4428322696685791, "sum": 0.4428322696685791, "min": 0.4428322696685791}}, "EndTime": 1527683322.00496, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004943} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44045851707458494, "sum": 0.44045851707458494, "min": 0.44045851707458494}}, "EndTime": 1527683322.005015, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.004999} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.44525965690612795, "sum": 0.44525965690612795, "min": 0.44525965690612795}}, "EndTime": 1527683322.005067, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005052} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48297632217407227, "sum": 0.48297632217407227, "min": 0.48297632217407227}}, "EndTime": 1527683322.005119, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005104} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.49729796409606936, "sum": 0.49729796409606936, "min": 0.49729796409606936}}, "EndTime": 1527683322.005174, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005159} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.48687827110290527, "sum": 0.48687827110290527, "min": 0.48687827110290527}}, "EndTime": 1527683322.005228, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005213} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.49197171211242674, "sum": 0.49197171211242674, "min": 0.49197171211242674}}, "EndTime": 1527683322.005282, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005266} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7916093635559082, "sum": 0.7916093635559082, "min": 0.7916093635559082}}, "EndTime": 1527683322.005346, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.00533} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.794830265045166, "sum": 0.794830265045166, "min": 0.794830265045166}}, "EndTime": 1527683322.005411, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005395} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.789751672744751, "sum": 0.789751672744751, "min": 0.789751672744751}}, "EndTime": 1527683322.005466, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.00545} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7906862926483155, "sum": 0.7906862926483155, "min": 0.7906862926483155}}, "EndTime": 1527683322.005526, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.00551} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7986541080474854, "sum": 0.7986541080474854, "min": 0.7986541080474854}}, "EndTime": 1527683322.005579, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005564} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.8177595806121826, "sum": 0.8177595806121826, "min": 0.8177595806121826}}, "EndTime": 1527683322.005632, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005617} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.7947844791412354, "sum": 0.7947844791412354, "min": 0.7947844791412354}}, "EndTime": 1527683322.00569, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005674} #metrics {"Metrics": {"train_absolute_loss_objective": {"count": 1, "max": 0.810824613571167, "sum": 0.810824613571167, "min": 0.810824613571167}}, "EndTime": 1527683322.005749, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.005732} [05/30/2018 12:28:42 INFO 140011176339264] #quality_metric: host=algo-1, epoch=9, train absolute_loss_objective <loss>=0.43844824791 #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 248.2966506545608, "sum": 248.2966506545608, "min": 248.2966506545608}}, "EndTime": 1527683322.048037, "Dimensions": {"model": 0, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.047994} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 248.62438634923987, "sum": 248.62438634923987, "min": 248.62438634923987}}, "EndTime": 1527683322.048091, "Dimensions": {"model": 1, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048079} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 245.69157780827703, "sum": 245.69157780827703, "min": 245.69157780827703}}, "EndTime": 1527683322.048151, "Dimensions": {"model": 2, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048134} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 249.43364653716216, "sum": 249.43364653716216, "min": 249.43364653716216}}, "EndTime": 1527683322.048216, "Dimensions": {"model": 3, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048198} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 251.2758591110642, "sum": 251.2758591110642, "min": 251.2758591110642}}, "EndTime": 1527683322.048277, "Dimensions": {"model": 4, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.04826} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 260.5643475506757, "sum": 260.5643475506757, "min": 260.5643475506757}}, "EndTime": 1527683322.04836, "Dimensions": {"model": 5, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048341} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 279.45910314611484, "sum": 279.45910314611484, "min": 279.45910314611484}}, "EndTime": 1527683322.04842, "Dimensions": {"model": 6, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048403} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 303.81345676731416, "sum": 303.81345676731416, "min": 303.81345676731416}}, "EndTime": 1527683322.048479, "Dimensions": {"model": 7, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048462} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 252.66049276815878, "sum": 252.66049276815878, "min": 252.66049276815878}}, "EndTime": 1527683322.048534, "Dimensions": {"model": 8, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048518} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 251.43017578125, "sum": 251.43017578125, "min": 251.43017578125}}, "EndTime": 1527683322.048588, "Dimensions": {"model": 9, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048572} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 252.35614178631758, "sum": 252.35614178631758, "min": 252.35614178631758}}, "EndTime": 1527683322.048642, "Dimensions": {"model": 10, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048626} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 247.95782305743242, "sum": 247.95782305743242, "min": 247.95782305743242}}, "EndTime": 1527683322.048697, "Dimensions": {"model": 11, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.04868} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 241.82536687077703, "sum": 241.82536687077703, "min": 241.82536687077703}}, "EndTime": 1527683322.048751, "Dimensions": {"model": 12, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048735} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 250.13143343538852, "sum": 250.13143343538852, "min": 250.13143343538852}}, "EndTime": 1527683322.048805, "Dimensions": {"model": 13, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048789} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 236.92221811655406, "sum": 236.92221811655406, "min": 236.92221811655406}}, "EndTime": 1527683322.048858, "Dimensions": {"model": 14, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048843} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 263.97280141469594, "sum": 263.97280141469594, "min": 263.97280141469594}}, "EndTime": 1527683322.048917, "Dimensions": {"model": 15, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048901} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 240.1101734058277, "sum": 240.1101734058277, "min": 240.1101734058277}}, "EndTime": 1527683322.048975, "Dimensions": {"model": 16, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.048958} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 258.56608952702703, "sum": 258.56608952702703, "min": 258.56608952702703}}, "EndTime": 1527683322.049031, "Dimensions": {"model": 17, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049015} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 238.07408018369932, "sum": 238.07408018369932, "min": 238.07408018369932}}, "EndTime": 1527683322.049091, "Dimensions": {"model": 18, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049075} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 238.35654428842906, "sum": 238.35654428842906, "min": 238.35654428842906}}, "EndTime": 1527683322.049151, "Dimensions": {"model": 19, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049135} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 245.31996278505068, "sum": 245.31996278505068, "min": 245.31996278505068}}, "EndTime": 1527683322.049205, "Dimensions": {"model": 20, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.04919} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 261.2079682221284, "sum": 261.2079682221284, "min": 261.2079682221284}}, "EndTime": 1527683322.049258, "Dimensions": {"model": 21, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049243} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 244.41639833192568, "sum": 244.41639833192568, "min": 244.41639833192568}}, "EndTime": 1527683322.049318, "Dimensions": {"model": 22, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049301} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 239.33390519425674, "sum": 239.33390519425674, "min": 239.33390519425674}}, "EndTime": 1527683322.049372, "Dimensions": {"model": 23, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049356} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 827.3562341638514, "sum": 827.3562341638514, "min": 827.3562341638514}}, "EndTime": 1527683322.049428, "Dimensions": {"model": 24, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049412} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 843.8725190033783, "sum": 843.8725190033783, "min": 843.8725190033783}}, "EndTime": 1527683322.049484, "Dimensions": {"model": 25, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049468} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 826.5756703969595, "sum": 826.5756703969595, "min": 826.5756703969595}}, "EndTime": 1527683322.049539, "Dimensions": {"model": 26, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049524} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 821.5531038851351, "sum": 821.5531038851351, "min": 821.5531038851351}}, "EndTime": 1527683322.049594, "Dimensions": {"model": 27, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049579} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 828.9298986486486, "sum": 828.9298986486486, "min": 828.9298986486486}}, "EndTime": 1527683322.04965, "Dimensions": {"model": 28, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049634} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 800.0691511824324, "sum": 800.0691511824324, "min": 800.0691511824324}}, "EndTime": 1527683322.049707, "Dimensions": {"model": 29, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049691} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 809.2058699324324, "sum": 809.2058699324324, "min": 809.2058699324324}}, "EndTime": 1527683322.049761, "Dimensions": {"model": 30, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.049745} #metrics {"Metrics": {"validation_absolute_loss_objective": {"count": 1, "max": 823.2293074324324, "sum": 823.2293074324324, "min": 823.2293074324324}}, "EndTime": 1527683322.049816, "Dimensions": {"model": 31, "Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.0498} [05/30/2018 12:28:42 INFO 140011176339264] #quality_metric: host=algo-1, epoch=9, validation absolute_loss_objective <loss>=248.296650655 [05/30/2018 12:28:42 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=9, criteria=absolute_loss_objective, value=236.922218117 [05/30/2018 12:28:42 INFO 140011176339264] #progress_metric: host=algo-1, completed 100 % of epochs #metrics {"Metrics": {"Max Batches Seen Between Resets": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Batches Since Last Reset": {"count": 1, "max": 5, "sum": 5.0, "min": 5}, "Number of Records Since Last Reset": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Total Batches Seen": {"count": 1, "max": 56, "sum": 56.0, "min": 56}, "Total Records Seen": {"count": 1, "max": 4984, "sum": 4984.0, "min": 4984}, "Max Records Seen Between Resets": {"count": 1, "max": 444, "sum": 444.0, "min": 444}, "Reset Count": {"count": 1, "max": 12, "sum": 12.0, "min": 12}}, "EndTime": 1527683322.050569, "Dimensions": {"Host": "algo-1", "Meta": "training_data_iter", "Operation": "training", "Algorithm": "Linear Learner", "epoch": 9}, "StartTime": 1527683322.050517} [05/30/2018 12:28:42 INFO 140011176339264] #throughput_metric: host=algo-1, train throughput=3633.35917026 records/second [05/30/2018 12:28:42 WARNING 140011176339264] wait_for_all_workers will not sync workers since the kv store is not running distributed [05/30/2018 12:28:42 WARNING 140011176339264] wait_for_all_workers will not sync workers since the kv store is not running distributed [05/30/2018 12:28:42 INFO 140011176339264] #early_stopping_criteria_metric: host=algo-1, epoch=9, criteria=absolute_loss_objective, value=236.922218117 [05/30/2018 12:28:42 INFO 140011176339264] #validation_score (algo-1) : ('absolute_loss_objective', 232.08583192567568) [05/30/2018 12:28:42 INFO 140011176339264] #quality_metric: host=algo-1, validation absolute_loss_objective <loss>=232.085831926 [05/30/2018 12:28:42 INFO 140011176339264] Best model found for hyperparameters: {"lr_scheduler_step": 100, "wd": 1, "optimizer": "adam", "lr_scheduler_factor": 0.99, "learning_rate": 0.1, "lr_scheduler_minimum_lr": 1e-05} [05/30/2018 12:28:42 INFO 140011176339264] Saved checkpoint to "/tmp/tmpQL6Ubm/mx-mod-0000.params" [05/30/2018 12:28:42 INFO 140011176339264] Test data is not provided. #metrics {"Metrics": {"totaltime": {"count": 1, "max": 1555.7680130004883, "sum": 1555.7680130004883, "min": 1555.7680130004883}, "finalize.time": {"count": 1, "max": 45.44806480407715, "sum": 45.44806480407715, "min": 45.44806480407715}, "initialize.time": {"count": 1, "max": 138.0009651184082, "sum": 138.0009651184082, "min": 138.0009651184082}, "check_early_stopping.time": {"count": 11, "max": 0.9949207305908203, "sum": 6.578922271728516, "min": 0.16307830810546875}, "setuptime": {"count": 1, "max": 30.75408935546875, "sum": 30.75408935546875, "min": 30.75408935546875}, "update.time": {"count": 10, "max": 152.1010398864746, "sum": 1261.0671520233154, "min": 114.85004425048828}, "epochs": {"count": 1, "max": 10, "sum": 10.0, "min": 10}}, "EndTime": 1527683322.101906, "Dimensions": {"Host": "algo-1", "Operation": "training", "Algorithm": "Linear Learner"}, "StartTime": 1527683320.627074} ===== Job Complete ===== Billable seconds: 104
Now that we've trained the linear algorithm on our data, let's create a model and deploy that to a hosted endpoint.
linear_predictor = linear.deploy(initial_instance_count=1,
instance_type='ml.m4.xlarge')
INFO:sagemaker:Creating model with name: linear-learner-2018-05-30-12-29-14-255 INFO:sagemaker:Creating endpoint with name linear-learner-2018-05-30-12-25-30-667
--------------------------------------------------------------------------!
Now that we have our hosted endpoint, we can generate statistical forecasts from it. Let's forecast on our test dataset to understand how accurate our model may be.
There are many metrics to measure forecast error. Common examples include include:
For our example we'll keep things simple and use Median Absolute Percent Error (MdAPE), but we'll also compare it to a naive benchmark forecast (that week last year's demand * that week last year / that week two year's ago).
There are also multiple ways to generate forecasts.
For our example, we'll calculate both, but focus on the multi-step forecast accuracy.
Let's start by generating the naive forecast.
gas['thousands_barrels_lag52'] = gas['thousands_barrels'].shift(52)
gas['thousands_barrels_lag104'] = gas['thousands_barrels'].shift(104)
gas['thousands_barrels_naive_forecast'] = gas['thousands_barrels_lag52'] ** 2 / gas['thousands_barrels_lag104']
naive = gas[split_test:]['thousands_barrels_naive_forecast'].as_matrix()
And investigating it's accuracy.
print('Naive MdAPE =', np.median(np.abs(test_y - naive) / test_y))
plt.plot(np.array(test_y), label='actual')
plt.plot(naive, label='naive')
plt.legend()
plt.show()
Naive MdAPE = 0.03687277085962615
Now we'll generate the one-step-ahead forecast. First we need a function to convert our numpy arrays into a format that can be handled by the HTTP POST request we pass to the inference container. In this case that's a simple CSV string. The results will be published back as JSON. For these common formats we can use the Amazon SageMaker Python SDK's built in csv_serializer
and json_deserializer
functions.
linear_predictor.content_type = 'text/csv'
linear_predictor.serializer = csv_serializer
linear_predictor.deserializer = json_deserializer
Next, we'll invoke the endpoint to get predictions.
result = linear_predictor.predict(test_X)
one_step = np.array([r['score'] for r in result['predictions']])
Let's compare forecast errors.
print('One-step-ahead MdAPE = ', np.median(np.abs(test_y - one_step) / test_y))
plt.plot(np.array(test_y), label='actual')
plt.plot(one_step, label='forecast')
plt.legend()
plt.show()
One-step-ahead MdAPE = 0.019956271031968592
As we can see our MdAPE is substantially better than the naive, and we actually swing from a forecasts that's too volatile to one that under-represents the noise in our data. However, the overall shape of the statistical forecast does appear to better represent the actual data.
Next, let's generate multi-step-ahead forecast. To do this, we'll need to loop over invoking the endpoint one row at a time and make sure the lags in our model are updated appropriately.
multi_step = []
lags = test_X[0, 0:4]
for row in test_X:
row[0:4] = lags
result = linear_predictor.predict(row)
prediction = result['predictions'][0]['score']
multi_step.append(prediction)
lags[1:4] = lags[0:3]
lags[0] = prediction
multi_step = np.array(multi_step)
And now calculate the accuracy of these predictions.
print('Multi-step-ahead MdAPE =', np.median(np.abs(test_y - multi_step) / test_y))
plt.plot(np.array(test_y), label='actual')
plt.plot(one_step, label='forecast')
plt.legend()
plt.show()
Multi-step-ahead MdAPE = 0.02144004203177787
As we can see our multi-step ahead error performs worse than our one-step ahead forecast, but nevertheless remains substantially stronger than the naive benchmark forecast. This 1.5 percentage point difference may not seem particularly meaningful, but at the large scale of many topline forecasts can mean millions of dollars in excess supply or lost sales.
Our linear model does a good job of predicting gasoline demand, but of course, improvements could be made. The fact that statistical forecast actually underrepresents some of the volatility in the data could suggest that we have actually over-regularized the data. Or, perhaps our choice of absolute loss was incorrect. Rerunning the model with further tweaks to these hyperparameters may provide more accurate out of sample forecasts. We also did not do a large amount of feature engineering. Occasionally, the lagging time-periods have complex interrelationships with one another that should be explored. Finally, alternative forecasting algorithms could be explored. Less interpretable methods like ARIMA, and black-box methods like LSTM Recurrent Neural Networks have been shown to predict time-series very well. Balancing the simplicity of a linear model with predictive accuracy is an important subjective question where the right answer depends on the problem being solved, and its implications to the business.
If you're ready to be done with this notebook, please run the cell below. This will remove the hosted endpoint you created and avoid any charges from a stray instance being left on.
sagemaker.Session().delete_endpoint(linear_predictor.endpoint)
INFO:sagemaker:Deleting endpoint with name: linear-learner-2018-05-30-12-25-30-667