com.google.api.services.bigquery.model

Class IterationResult

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.IterationResult

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class IterationResult
extends GenericJson

Model definition for IterationResult.

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

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
IterationResult()

Method Summary

Modifier and Type	Method and Description
IterationResult	clone()
Long	getDurationMs() Time taken to run the iteration in milliseconds.
Double	getEvalLoss() Loss computed on the eval data at the end of iteration.
Integer	getIndex() Index of the iteration, 0 based.
Double	getLearnRate() Learn rate used for this iteration.
Double	getTrainingLoss() Loss computed on the training data at the end of iteration.
IterationResult	set(String fieldName, Object value)
IterationResult	setDurationMs(Long durationMs) Time taken to run the iteration in milliseconds.
IterationResult	setEvalLoss(Double evalLoss) Loss computed on the eval data at the end of iteration.
IterationResult	setIndex(Integer index) Index of the iteration, 0 based.
IterationResult	setLearnRate(Double learnRate) Learn rate used for this iteration.
IterationResult	setTrainingLoss(Double trainingLoss) Loss computed on the training data at the end of iteration.

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, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, 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

IterationResult

public IterationResult()

Method Detail

getDurationMs

public Long getDurationMs()

Time taken to run the iteration in milliseconds.

Returns:

value or null for none

setDurationMs

public IterationResult setDurationMs(Long durationMs)

Time taken to run the iteration in milliseconds.

Parameters:

durationMs - durationMs or null for none

getEvalLoss

public Double getEvalLoss()

Loss computed on the eval data at the end of iteration.

Returns:

value or null for none

setEvalLoss

public IterationResult setEvalLoss(Double evalLoss)

Loss computed on the eval data at the end of iteration.

Parameters:

evalLoss - evalLoss or null for none

getIndex

public Integer getIndex()

Index of the iteration, 0 based.

Returns:

value or null for none

setIndex

public IterationResult setIndex(Integer index)

Index of the iteration, 0 based.

Parameters:

index - index or null for none

getLearnRate

public Double getLearnRate()

Learn rate used for this iteration.

Returns:

value or null for none

setLearnRate

public IterationResult setLearnRate(Double learnRate)

Learn rate used for this iteration.

Parameters:

learnRate - learnRate or null for none

getTrainingLoss

public Double getTrainingLoss()

Loss computed on the training data at the end of iteration.

Returns:

value or null for none

setTrainingLoss

public IterationResult setTrainingLoss(Double trainingLoss)

Loss computed on the training data at the end of iteration.

Parameters:

trainingLoss - trainingLoss or null for none

set

public IterationResult set(String fieldName,
                           Object value)

Overrides:

set in class GenericJson

clone

public IterationResult clone()

Overrides:

clone in class GenericJson