com.google.api.services.discoveryengine.v1.model

Class GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.discoveryengine.v1.model.GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse
extends com.google.api.client.json.GenericJson

Response of the TrainCustomModelRequest. This message is returned by the google.longrunning.Operations.response field.

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 Discovery Engine 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
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse()

Method Summary

Modifier and Type	Method and Description
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	clone()
GoogleCloudDiscoveryengineV1alphaImportErrorConfig	getErrorConfig() Echoes the destination for the complete errors in the request if set.
List<GoogleRpcStatus>	getErrorSamples() A sample of errors encountered while processing the data.
Map<String,Double>	getMetrics() The metrics of the trained model.
String	getModelName() Fully qualified name of the CustomTuningModel.
String	getModelStatus() The trained model status.
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	set(String fieldName, Object value)
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	setErrorConfig(GoogleCloudDiscoveryengineV1alphaImportErrorConfig errorConfig) Echoes the destination for the complete errors in the request if set.
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	setErrorSamples(List<GoogleRpcStatus> errorSamples) A sample of errors encountered while processing the data.
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	setMetrics(Map<String,Double> metrics) The metrics of the trained model.
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	setModelName(String modelName) Fully qualified name of the CustomTuningModel.
GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse	setModelStatus(String modelStatus) The trained model status.

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

GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse()

Method Detail

getErrorConfig

public GoogleCloudDiscoveryengineV1alphaImportErrorConfig getErrorConfig()

Echoes the destination for the complete errors in the request if set.

Returns:

value or null for none

setErrorConfig

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse setErrorConfig(GoogleCloudDiscoveryengineV1alphaImportErrorConfig errorConfig)

Echoes the destination for the complete errors in the request if set.

Parameters:

errorConfig - errorConfig or null for none

getErrorSamples

public List<GoogleRpcStatus> getErrorSamples()

A sample of errors encountered while processing the data.

Returns:

value or null for none

setErrorSamples

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse setErrorSamples(List<GoogleRpcStatus> errorSamples)

A sample of errors encountered while processing the data.

Parameters:

errorSamples - errorSamples or null for none

getMetrics

public Map<String,Double> getMetrics()

The metrics of the trained model.

Returns:

value or null for none

setMetrics

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse setMetrics(Map<String,Double> metrics)

The metrics of the trained model.

Parameters:

metrics - metrics or null for none

getModelName

public String getModelName()

Fully qualified name of the CustomTuningModel.

Returns:

value or null for none

setModelName

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse setModelName(String modelName)

Fully qualified name of the CustomTuningModel.

Parameters:

modelName - modelName or null for none

getModelStatus

public String getModelStatus()

The trained model status. Possible values are: * **bad-data**: The training data quality is bad. * **no-improvement**: Tuning didn't improve performance. Won't deploy. * **in-progress**: Model training job creation is in progress. * **training**: Model is actively training. * **evaluating**: The model is evaluating trained metrics. * **indexing**: The model trained metrics are indexing. * **ready**: The model is ready for serving.

Returns:

value or null for none

setModelStatus

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse setModelStatus(String modelStatus)

The trained model status. Possible values are: * **bad-data**: The training data quality is bad. * **no-improvement**: Tuning didn't improve performance. Won't deploy. * **in-progress**: Model training job creation is in progress. * **training**: Model is actively training. * **evaluating**: The model is evaluating trained metrics. * **indexing**: The model trained metrics are indexing. * **ready**: The model is ready for serving.

Parameters:

modelStatus - modelStatus or null for none

set

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse set(String fieldName,
                                                                     Object value)

Overrides:

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

clone

public GoogleCloudDiscoveryengineV1alphaTrainCustomModelResponse clone()

Overrides:

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