com.google.api.services.bigquery.model

Class IterationResult

java.lang.Object

java.util.AbstractMap<java.lang.String,java.lang.Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.bigquery.model.IterationResult

All Implemented Interfaces:

java.lang.Cloneable, java.util.Map<java.lang.String,java.lang.Object>

public final class IterationResult
extends com.google.api.client.json.GenericJson

Information about a single iteration of the training run.

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

java.util.AbstractMap.SimpleEntry<K,V>, java.util.AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

java.util.Map.Entry<K,V>

Constructor Summary

Constructors

Constructor and Description
IterationResult()

Method Summary

Modifier and Type	Method and Description
IterationResult	clone()
ArimaResult	getArimaResult()
java.util.List<ClusterInfo>	getClusterInfos() Information about top clusters for clustering models.
java.lang.Long	getDurationMs() Time taken to run the iteration in milliseconds.
java.lang.Double	getEvalLoss() Loss computed on the eval data at the end of iteration.
java.lang.Integer	getIndex() Index of the iteration, 0 based.
java.lang.Double	getLearnRate() Learn rate used for this iteration.
java.lang.Double	getTrainingLoss() Loss computed on the training data at the end of iteration.
IterationResult	set(java.lang.String fieldName, java.lang.Object value)
IterationResult	setArimaResult(ArimaResult arimaResult)
IterationResult	setClusterInfos(java.util.List<ClusterInfo> clusterInfos) Information about top clusters for clustering models.
IterationResult	setDurationMs(java.lang.Long durationMs) Time taken to run the iteration in milliseconds.
IterationResult	setEvalLoss(java.lang.Double evalLoss) Loss computed on the eval data at the end of iteration.
IterationResult	setIndex(java.lang.Integer index) Index of the iteration, 0 based.
IterationResult	setLearnRate(java.lang.Double learnRate) Learn rate used for this iteration.
IterationResult	setTrainingLoss(java.lang.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, 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

IterationResult

public IterationResult()

Method Detail

getArimaResult

public ArimaResult getArimaResult()

Returns:

value or null for none

setArimaResult

public IterationResult setArimaResult(ArimaResult arimaResult)

Parameters:

arimaResult - arimaResult or null for none

getClusterInfos

public java.util.List<ClusterInfo> getClusterInfos()

Information about top clusters for clustering models.

Returns:

value or null for none

setClusterInfos

public IterationResult setClusterInfos(java.util.List<ClusterInfo> clusterInfos)

Information about top clusters for clustering models.

Parameters:

clusterInfos - clusterInfos or null for none

getDurationMs

public java.lang.Long getDurationMs()

Time taken to run the iteration in milliseconds.

Returns:

value or null for none

setDurationMs

public IterationResult setDurationMs(java.lang.Long durationMs)

Time taken to run the iteration in milliseconds.

Parameters:

durationMs - durationMs or null for none

getEvalLoss

public java.lang.Double getEvalLoss()

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

Returns:

value or null for none

setEvalLoss

public IterationResult setEvalLoss(java.lang.Double evalLoss)

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

Parameters:

evalLoss - evalLoss or null for none

getIndex

public java.lang.Integer getIndex()

Index of the iteration, 0 based.

Returns:

value or null for none

setIndex

public IterationResult setIndex(java.lang.Integer index)

Index of the iteration, 0 based.

Parameters:

index - index or null for none

getLearnRate

public java.lang.Double getLearnRate()

Learn rate used for this iteration.

Returns:

value or null for none

setLearnRate

public IterationResult setLearnRate(java.lang.Double learnRate)

Learn rate used for this iteration.

Parameters:

learnRate - learnRate or null for none

getTrainingLoss

public java.lang.Double getTrainingLoss()

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

Returns:

value or null for none

setTrainingLoss

public IterationResult setTrainingLoss(java.lang.Double trainingLoss)

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

Parameters:

trainingLoss - trainingLoss or null for none

set

public IterationResult set(java.lang.String fieldName,
                           java.lang.Object value)

Overrides:

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

clone

public IterationResult clone()

Overrides:

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