com.google.api.services.language.v2.model

Class XPSTablesTrainingOperationMetadata

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.language.v2.model.XPSTablesTrainingOperationMetadata

All Implemented Interfaces:

Cloneable, Map<String,Object>

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

Model definition for XPSTablesTrainingOperationMetadata.

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 Cloud Natural Language 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
XPSTablesTrainingOperationMetadata()

Method Summary

Modifier and Type	Method and Description
XPSTablesTrainingOperationMetadata	clone()
String	getCreateModelStage() Current stage of creating model.
String	getOptimizationObjective() The optimization objective for model.
List<XPSTuningTrial>	getTopTrials() This field is for training.
Long	getTrainBudgetMilliNodeHours() Creating model budget.
List<XPSTrainingObjectivePoint>	getTrainingObjectivePoints() This field records the training objective value with respect to time, giving insight into how the model architecture search is performing as training time elapses.
String	getTrainingStartTime() Timestamp when training process starts.
XPSTablesTrainingOperationMetadata	set(String fieldName, Object value)
XPSTablesTrainingOperationMetadata	setCreateModelStage(String createModelStage) Current stage of creating model.
XPSTablesTrainingOperationMetadata	setOptimizationObjective(String optimizationObjective) The optimization objective for model.
XPSTablesTrainingOperationMetadata	setTopTrials(List<XPSTuningTrial> topTrials) This field is for training.
XPSTablesTrainingOperationMetadata	setTrainBudgetMilliNodeHours(Long trainBudgetMilliNodeHours) Creating model budget.
XPSTablesTrainingOperationMetadata	setTrainingObjectivePoints(List<XPSTrainingObjectivePoint> trainingObjectivePoints) This field records the training objective value with respect to time, giving insight into how the model architecture search is performing as training time elapses.
XPSTablesTrainingOperationMetadata	setTrainingStartTime(String trainingStartTime) Timestamp when training process starts.

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

XPSTablesTrainingOperationMetadata

public XPSTablesTrainingOperationMetadata()

Method Detail

getCreateModelStage

public String getCreateModelStage()

Current stage of creating model.

Returns:

value or null for none

setCreateModelStage

public XPSTablesTrainingOperationMetadata setCreateModelStage(String createModelStage)

Current stage of creating model.

Parameters:

createModelStage - createModelStage or null for none

getOptimizationObjective

public String getOptimizationObjective()

The optimization objective for model.

Returns:

value or null for none

setOptimizationObjective

public XPSTablesTrainingOperationMetadata setOptimizationObjective(String optimizationObjective)

The optimization objective for model.

Parameters:

optimizationObjective - optimizationObjective or null for none

getTopTrials

public List<XPSTuningTrial> getTopTrials()

This field is for training. When the operation is terminated successfully, AutoML Backend post this field to operation metadata in spanner. If the metadata has no trials returned, the training operation is supposed to be a failure.

Returns:

value or null for none

setTopTrials

public XPSTablesTrainingOperationMetadata setTopTrials(List<XPSTuningTrial> topTrials)

This field is for training. When the operation is terminated successfully, AutoML Backend post this field to operation metadata in spanner. If the metadata has no trials returned, the training operation is supposed to be a failure.

Parameters:

topTrials - topTrials or null for none

getTrainBudgetMilliNodeHours

public Long getTrainBudgetMilliNodeHours()

Creating model budget.

Returns:

value or null for none

setTrainBudgetMilliNodeHours

public XPSTablesTrainingOperationMetadata setTrainBudgetMilliNodeHours(Long trainBudgetMilliNodeHours)

Creating model budget.

Parameters:

trainBudgetMilliNodeHours - trainBudgetMilliNodeHours or null for none

getTrainingObjectivePoints

public List<XPSTrainingObjectivePoint> getTrainingObjectivePoints()

This field records the training objective value with respect to time, giving insight into how the model architecture search is performing as training time elapses.

Returns:

value or null for none

setTrainingObjectivePoints

public XPSTablesTrainingOperationMetadata setTrainingObjectivePoints(List<XPSTrainingObjectivePoint> trainingObjectivePoints)

This field records the training objective value with respect to time, giving insight into how the model architecture search is performing as training time elapses.

Parameters:

trainingObjectivePoints - trainingObjectivePoints or null for none

getTrainingStartTime

public String getTrainingStartTime()

Timestamp when training process starts.

Returns:

value or null for none

setTrainingStartTime

public XPSTablesTrainingOperationMetadata setTrainingStartTime(String trainingStartTime)

Timestamp when training process starts.

Parameters:

trainingStartTime - trainingStartTime or null for none

set

public XPSTablesTrainingOperationMetadata set(String fieldName,
                                              Object value)

Overrides:

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

clone

public XPSTablesTrainingOperationMetadata clone()

Overrides:

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