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TrainingRun (BigQuery API v2-rev20190423-1.28.0)











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com.google.api.services.bigquery.model
Class TrainingRun



java.lang.Object


java.util.AbstractMap<String,Object>


com.google.api.client.util.GenericData


com.google.api.client.json.GenericJson


com.google.api.services.bigquery.model.TrainingRun













All Implemented Interfaces:
Cloneable, Map<String,Object>




public final class TrainingRun
extends com.google.api.client.json.GenericJson
Information about a single training query run for the model.

  This is the Java data model class that specifies how to parse/serialize into the JSON that is
 transmitted over HTTP when working with the BigQuery API. For a detailed explanation see:
 https://developers.google.com/api-client-library/java/google-http-java-client/json
 

Author:
Google, Inc.












Nested Class Summary




Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
com.google.api.client.util.GenericData.Flags





Nested classes/interfaces inherited from class java.util.AbstractMap
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>





Nested classes/interfaces inherited from interface java.util.Map
Map.Entry<K,V>








Constructor Summary

Constructors 

Constructor and Description


TrainingRun() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


TrainingRun
clone() 


EvaluationMetrics
getEvaluationMetrics()
The evaluation metrics over training/eval data that were computed at the end of training.



List<IterationResult>
getResults()
Output of each iteration run, results.size() <= max_iterations.



String
getStartTime()
The start time of this training run.



TrainingOptions
getTrainingOptions()
Options that were used for this training run, includes user specified and default options that
 were used.



TrainingRun
set(String fieldName,
   Object value) 


TrainingRun
setEvaluationMetrics(EvaluationMetrics evaluationMetrics)
The evaluation metrics over training/eval data that were computed at the end of training.



TrainingRun
setResults(List<IterationResult> results)
Output of each iteration run, results.size() <= max_iterations.



TrainingRun
setStartTime(String startTime)
The start time of this training run.



TrainingRun
setTrainingOptions(TrainingOptions trainingOptions)
Options that were used for this training run, includes user specified and default options that
 were used.







Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString





Methods inherited from class com.google.api.client.util.GenericData
entrySet, get, getClassInfo, getUnknownKeys, put, putAll, remove, setUnknownKeys





Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, equals, hashCode, isEmpty, keySet, size, values





Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait





Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll














Constructor Detail





TrainingRun
public TrainingRun()









Method Detail





getEvaluationMetrics
public EvaluationMetrics getEvaluationMetrics()
The evaluation metrics over training/eval data that were computed at the end of training.

Returns:
value or null for none








setEvaluationMetrics
public TrainingRun setEvaluationMetrics(EvaluationMetrics evaluationMetrics)
The evaluation metrics over training/eval data that were computed at the end of training.

Parameters:
evaluationMetrics - evaluationMetrics or null for none








getResults
public List<IterationResult> getResults()
Output of each iteration run, results.size() <= max_iterations.

Returns:
value or null for none








setResults
public TrainingRun setResults(List<IterationResult> results)
Output of each iteration run, results.size() <= max_iterations.

Parameters:
results - results or null for none








getStartTime
public String getStartTime()
The start time of this training run.

Returns:
value or null for none








setStartTime
public TrainingRun setStartTime(String startTime)
The start time of this training run.

Parameters:
startTime - startTime or null for none








getTrainingOptions
public TrainingOptions getTrainingOptions()
Options that were used for this training run, includes user specified and default options that
 were used.

Returns:
value or null for none








setTrainingOptions
public TrainingRun setTrainingOptions(TrainingOptions trainingOptions)
Options that were used for this training run, includes user specified and default options that
 were used.

Parameters:
trainingOptions - trainingOptions or null for none








set
public TrainingRun set(String fieldName,
                       Object value)

Overrides:
set in class com.google.api.client.json.GenericJson








clone
public TrainingRun clone()

Overrides:
clone in class com.google.api.client.json.GenericJson














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Copyright © 2011–2019 Google. All rights reserved.

Modifier and Type	Method and Description
`TrainingRun`	`clone()`
`EvaluationMetrics`	`getEvaluationMetrics()` The evaluation metrics over training/eval data that were computed at the end of training.
`List<IterationResult>`	`getResults()` Output of each iteration run, results.size() <= max_iterations.
`String`	`getStartTime()` The start time of this training run.
`TrainingOptions`	`getTrainingOptions()` Options that were used for this training run, includes user specified and default options that were used.
`TrainingRun`	`set(String fieldName, Object value)`
`TrainingRun`	`setEvaluationMetrics(EvaluationMetrics evaluationMetrics)` The evaluation metrics over training/eval data that were computed at the end of training.
`TrainingRun`	`setResults(List<IterationResult> results)` Output of each iteration run, results.size() <= max_iterations.
`TrainingRun`	`setStartTime(String startTime)` The start time of this training run.
`TrainingRun`	`setTrainingOptions(TrainingOptions trainingOptions)` Options that were used for this training run, includes user specified and default options that were used.