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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 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
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

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


IterationResult
clone() 


ArimaResult
getArimaResult()
Arima result.



List<ClusterInfo>
getClusterInfos()
Information about top clusters for clustering models.



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.



List<PrincipalComponentInfo>
getPrincipalComponentInfos()
The information of the principal components.



Double
getTrainingLoss()
Loss computed on the training data at the end of iteration.



IterationResult
set(String fieldName,
   Object value) 


IterationResult
setArimaResult(ArimaResult arimaResult)
Arima result.



IterationResult
setClusterInfos(List<ClusterInfo> clusterInfos)
Information about top clusters for clustering models.



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
setPrincipalComponentInfos(List<PrincipalComponentInfo> principalComponentInfos)
The information of the principal components.



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





getArimaResult
public ArimaResult getArimaResult()
Arima result.

Returns:
value or null for none








setArimaResult
public IterationResult setArimaResult(ArimaResult arimaResult)
Arima result.

Parameters:
arimaResult - arimaResult or null for none








getClusterInfos
public List<ClusterInfo> getClusterInfos()
Information about top clusters for clustering models.

Returns:
value or null for none








setClusterInfos
public IterationResult setClusterInfos(List<ClusterInfo> clusterInfos)
Information about top clusters for clustering models.

Parameters:
clusterInfos - clusterInfos or null for none








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








getPrincipalComponentInfos
public List<PrincipalComponentInfo> getPrincipalComponentInfos()
The information of the principal components.

Returns:
value or null for none








setPrincipalComponentInfos
public IterationResult setPrincipalComponentInfos(List<PrincipalComponentInfo> principalComponentInfos)
The information of the principal components.

Parameters:
principalComponentInfos - principalComponentInfos 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 com.google.api.client.json.GenericJson








clone
public IterationResult clone()

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














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