com.google.api.services.ml.v1.model

Class GoogleCloudMlV1StudyConfig

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.ml.v1.model.GoogleCloudMlV1StudyConfig

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class GoogleCloudMlV1StudyConfig
extends GenericJson

Represents configuration of a study.

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 AI Platform Training & Prediction 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
GoogleCloudMlV1StudyConfig()

Method Summary

Modifier and Type	Method and Description
GoogleCloudMlV1StudyConfig	clone()
String	getAlgorithm() The search algorithm specified for the study.
GoogleCloudMlV1AutomatedStoppingConfig	getAutomatedStoppingConfig() Configuration for automated stopping of unpromising Trials.
List<GoogleCloudMlV1StudyConfigMetricSpec>	getMetrics() Metric specs for the study.
List<GoogleCloudMlV1StudyConfigParameterSpec>	getParameters() Required.
GoogleCloudMlV1StudyConfig	set(String fieldName, Object value)
GoogleCloudMlV1StudyConfig	setAlgorithm(String algorithm) The search algorithm specified for the study.
GoogleCloudMlV1StudyConfig	setAutomatedStoppingConfig(GoogleCloudMlV1AutomatedStoppingConfig automatedStoppingConfig) Configuration for automated stopping of unpromising Trials.
GoogleCloudMlV1StudyConfig	setMetrics(List<GoogleCloudMlV1StudyConfigMetricSpec> metrics) Metric specs for the study.
GoogleCloudMlV1StudyConfig	setParameters(List<GoogleCloudMlV1StudyConfigParameterSpec> parameters) Required.

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

GoogleCloudMlV1StudyConfig

public GoogleCloudMlV1StudyConfig()

Method Detail

getAlgorithm

public String getAlgorithm()

The search algorithm specified for the study.

Returns:

value or null for none

setAlgorithm

public GoogleCloudMlV1StudyConfig setAlgorithm(String algorithm)

The search algorithm specified for the study.

Parameters:

algorithm - algorithm or null for none

getAutomatedStoppingConfig

public GoogleCloudMlV1AutomatedStoppingConfig getAutomatedStoppingConfig()

Configuration for automated stopping of unpromising Trials.

Returns:

value or null for none

setAutomatedStoppingConfig

public GoogleCloudMlV1StudyConfig setAutomatedStoppingConfig(GoogleCloudMlV1AutomatedStoppingConfig automatedStoppingConfig)

Configuration for automated stopping of unpromising Trials.

Parameters:

automatedStoppingConfig - automatedStoppingConfig or null for none

getMetrics

public List<GoogleCloudMlV1StudyConfigMetricSpec> getMetrics()

Metric specs for the study.

Returns:

value or null for none

setMetrics

public GoogleCloudMlV1StudyConfig setMetrics(List<GoogleCloudMlV1StudyConfigMetricSpec> metrics)

Metric specs for the study.

Parameters:

metrics - metrics or null for none

getParameters

public List<GoogleCloudMlV1StudyConfigParameterSpec> getParameters()

Required. The set of parameters to tune.

Returns:

value or null for none

setParameters

public GoogleCloudMlV1StudyConfig setParameters(List<GoogleCloudMlV1StudyConfigParameterSpec> parameters)

Required. The set of parameters to tune.

Parameters:

parameters - parameters or null for none

set

public GoogleCloudMlV1StudyConfig set(String fieldName,
                                      Object value)

Overrides:

set in class GenericJson

clone

public GoogleCloudMlV1StudyConfig clone()

Overrides:

clone in class GenericJson