Interface TrainCustomModelResponseOrBuilder (0.43.0)

Version 0.43.0

• 0.49.0 (latest)
• 0.48.0
• 0.47.0
• 0.45.0
• 0.44.0
• 0.43.0
• 0.42.0
• 0.41.0
• 0.40.0
• 0.39.0
• 0.38.0
• 0.37.0
• 0.36.0
• 0.35.0
• 0.33.0
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.0
• 0.25.0
• 0.24.0
• 0.23.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.14.0
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0
• 0.1.0

public interface TrainCustomModelResponseOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsMetrics(String key)

public abstract boolean containsMetrics(String key)

The metrics of the trained model.

map<string, double> metrics = 4;

Parameter
Name	Description
key	String

Returns
Type	Description
boolean

getErrorConfig()

public abstract ImportErrorConfig getErrorConfig()

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

.google.cloud.discoveryengine.v1beta.ImportErrorConfig error_config = 2;

Returns
Type	Description
ImportErrorConfig	The errorConfig.

getErrorConfigOrBuilder()

public abstract ImportErrorConfigOrBuilder getErrorConfigOrBuilder()

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

.google.cloud.discoveryengine.v1beta.ImportErrorConfig error_config = 2;

Returns
Type	Description
ImportErrorConfigOrBuilder

getErrorSamples(int index)

public abstract Status getErrorSamples(int index)

A sample of errors encountered while processing the data.

repeated .google.rpc.Status error_samples = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
com.google.rpc.Status

getErrorSamplesCount()

public abstract int getErrorSamplesCount()

A sample of errors encountered while processing the data.

repeated .google.rpc.Status error_samples = 1;

Returns
Type	Description
int

getErrorSamplesList()

public abstract List<Status> getErrorSamplesList()

A sample of errors encountered while processing the data.

repeated .google.rpc.Status error_samples = 1;

Returns
Type	Description
List<com.google.rpc.Status>

getErrorSamplesOrBuilder(int index)

public abstract StatusOrBuilder getErrorSamplesOrBuilder(int index)

A sample of errors encountered while processing the data.

repeated .google.rpc.Status error_samples = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
com.google.rpc.StatusOrBuilder

getErrorSamplesOrBuilderList()

public abstract List<? extends StatusOrBuilder> getErrorSamplesOrBuilderList()

A sample of errors encountered while processing the data.

repeated .google.rpc.Status error_samples = 1;

Returns
Type	Description
List<? extends com.google.rpc.StatusOrBuilder>

getMetrics() (deprecated)

public abstract Map<String,Double> getMetrics()

Use #getMetricsMap() instead.

Returns
Type	Description
Map<String,Double>

getMetricsCount()

public abstract int getMetricsCount()

The metrics of the trained model.

map<string, double> metrics = 4;

Returns
Type	Description
int

getMetricsMap()

public abstract Map<String,Double> getMetricsMap()

The metrics of the trained model.

map<string, double> metrics = 4;

Returns
Type	Description
Map<String,Double>

getMetricsOrDefault(String key, double defaultValue)

public abstract double getMetricsOrDefault(String key, double defaultValue)

The metrics of the trained model.

map<string, double> metrics = 4;

Parameters
Name	Description
key	String
defaultValue	double

Returns
Type	Description
double

getMetricsOrThrow(String key)

public abstract double getMetricsOrThrow(String key)

The metrics of the trained model.

map<string, double> metrics = 4;

Parameter
Name	Description
key	String

Returns
Type	Description
double

getModelName()

public abstract String getModelName()

Fully qualified name of the CustomTuningModel.

string model_name = 5;

Returns
Type	Description
String	The modelName.

getModelNameBytes()

public abstract ByteString getModelNameBytes()

Fully qualified name of the CustomTuningModel.

string model_name = 5;

Returns
Type	Description
ByteString	The bytes for modelName.

getModelStatus()

public abstract 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.

string model_status = 3;

Returns
Type	Description
String	The modelStatus.

getModelStatusBytes()

public abstract ByteString getModelStatusBytes()

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.

string model_status = 3;

Returns
Type	Description
ByteString	The bytes for modelStatus.

hasErrorConfig()

public abstract boolean hasErrorConfig()

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

.google.cloud.discoveryengine.v1beta.ImportErrorConfig error_config = 2;

Returns
Type	Description
boolean	Whether the errorConfig field is set.