Interface EvaluateDatasetRequestOrBuilder (3.59.0)

public interface EvaluateDatasetRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAutoraterConfig()

public abstract AutoraterConfig getAutoraterConfig()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
AutoraterConfig

The autoraterConfig.

getAutoraterConfigOrBuilder()

public abstract AutoraterConfigOrBuilder getAutoraterConfigOrBuilder()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
AutoraterConfigOrBuilder

getDataset()

public abstract EvaluationDataset getDataset()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
EvaluationDataset

The dataset.

getDatasetOrBuilder()

public abstract EvaluationDatasetOrBuilder getDatasetOrBuilder()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
EvaluationDatasetOrBuilder

getLocation()

public abstract String getLocation()

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
String

The location.

getLocationBytes()

public abstract ByteString getLocationBytes()

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for location.

getMetrics(int index)

public abstract Metric getMetrics(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
index int
Returns
Type Description
Metric

getMetricsCount()

public abstract int getMetricsCount()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
int

getMetricsList()

public abstract List<Metric> getMetricsList()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
List<Metric>

getMetricsOrBuilder(int index)

public abstract MetricOrBuilder getMetricsOrBuilder(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
index int
Returns
Type Description
MetricOrBuilder

getMetricsOrBuilderList()

public abstract List<? extends MetricOrBuilder> getMetricsOrBuilderList()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1beta1.MetricOrBuilder>

getOutputConfig()

public abstract OutputConfig getOutputConfig()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
OutputConfig

The outputConfig.

getOutputConfigOrBuilder()

public abstract OutputConfigOrBuilder getOutputConfigOrBuilder()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
OutputConfigOrBuilder

hasAutoraterConfig()

public abstract boolean hasAutoraterConfig()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the autoraterConfig field is set.

hasDataset()

public abstract boolean hasDataset()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the dataset field is set.

hasOutputConfig()

public abstract boolean hasOutputConfig()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the outputConfig field is set.