Interface StudySpecOrBuilder (3.13.0)

Version 3.13.0

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public interface StudySpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAlgorithm()

public abstract StudySpec.Algorithm getAlgorithm()

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Returns

Type	Description
StudySpec.Algorithm	The algorithm.

getAlgorithmValue()

public abstract int getAlgorithmValue()

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Returns

Type	Description
int	The enum numeric value on the wire for algorithm.

getAutomatedStoppingSpecCase()

public abstract StudySpec.AutomatedStoppingSpecCase getAutomatedStoppingSpecCase()

Returns

Type	Description
StudySpec.AutomatedStoppingSpecCase

getConvexAutomatedStoppingSpec()

public abstract StudySpec.ConvexAutomatedStoppingSpec getConvexAutomatedStoppingSpec()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns

Type	Description
StudySpec.ConvexAutomatedStoppingSpec	The convexAutomatedStoppingSpec.

getConvexAutomatedStoppingSpecOrBuilder()

public abstract StudySpec.ConvexAutomatedStoppingSpecOrBuilder getConvexAutomatedStoppingSpecOrBuilder()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns

Type	Description
StudySpec.ConvexAutomatedStoppingSpecOrBuilder

getConvexStopConfig() (deprecated)

public abstract StudySpec.ConvexStopConfig getConvexStopConfig()

Deprecated. google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See google/cloud/aiplatform/v1beta1/study.proto;l=607

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns

Type	Description
StudySpec.ConvexStopConfig	The convexStopConfig.

getConvexStopConfigOrBuilder()

public abstract StudySpec.ConvexStopConfigOrBuilder getConvexStopConfigOrBuilder()

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns

Type	Description
StudySpec.ConvexStopConfigOrBuilder

getDecayCurveStoppingSpec()

public abstract StudySpec.DecayCurveAutomatedStoppingSpec getDecayCurveStoppingSpec()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns

Type	Description
StudySpec.DecayCurveAutomatedStoppingSpec	The decayCurveStoppingSpec.

getDecayCurveStoppingSpecOrBuilder()

public abstract StudySpec.DecayCurveAutomatedStoppingSpecOrBuilder getDecayCurveStoppingSpecOrBuilder()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns

Type	Description
StudySpec.DecayCurveAutomatedStoppingSpecOrBuilder

getMeasurementSelectionType()

public abstract StudySpec.MeasurementSelectionType getMeasurementSelectionType()

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Returns

Type	Description
StudySpec.MeasurementSelectionType	The measurementSelectionType.

getMeasurementSelectionTypeValue()

public abstract int getMeasurementSelectionTypeValue()

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Returns

Type	Description
int	The enum numeric value on the wire for measurementSelectionType.

getMedianAutomatedStoppingSpec()

public abstract StudySpec.MedianAutomatedStoppingSpec getMedianAutomatedStoppingSpec()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns

Type	Description
StudySpec.MedianAutomatedStoppingSpec	The medianAutomatedStoppingSpec.

getMedianAutomatedStoppingSpecOrBuilder()

public abstract StudySpec.MedianAutomatedStoppingSpecOrBuilder getMedianAutomatedStoppingSpecOrBuilder()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns

Type	Description
StudySpec.MedianAutomatedStoppingSpecOrBuilder

getMetrics(int index)

public abstract StudySpec.MetricSpec getMetrics(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
StudySpec.MetricSpec

getMetricsCount()

public abstract int getMetricsCount()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
int

getMetricsList()

public abstract List<StudySpec.MetricSpec> getMetricsList()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<MetricSpec>

getMetricsOrBuilder(int index)

public abstract StudySpec.MetricSpecOrBuilder getMetricsOrBuilder(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
StudySpec.MetricSpecOrBuilder

getMetricsOrBuilderList()

public abstract List<? extends StudySpec.MetricSpecOrBuilder> getMetricsOrBuilderList()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<? extends com.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpecOrBuilder>

getObservationNoise()

public abstract StudySpec.ObservationNoise getObservationNoise()

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Returns

Type	Description
StudySpec.ObservationNoise	The observationNoise.

getObservationNoiseValue()

public abstract int getObservationNoiseValue()

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Returns

Type	Description
int	The enum numeric value on the wire for observationNoise.

getParameters(int index)

public abstract StudySpec.ParameterSpec getParameters(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
StudySpec.ParameterSpec

getParametersCount()

public abstract int getParametersCount()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
int

getParametersList()

public abstract List<StudySpec.ParameterSpec> getParametersList()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<ParameterSpec>

getParametersOrBuilder(int index)

public abstract StudySpec.ParameterSpecOrBuilder getParametersOrBuilder(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
StudySpec.ParameterSpecOrBuilder

getParametersOrBuilderList()

public abstract List<? extends StudySpec.ParameterSpecOrBuilder> getParametersOrBuilderList()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<? extends com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpecOrBuilder>

getTransferLearningConfig()

public abstract StudySpec.TransferLearningConfig getTransferLearningConfig()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns

Type	Description
StudySpec.TransferLearningConfig	The transferLearningConfig.

getTransferLearningConfigOrBuilder()

public abstract StudySpec.TransferLearningConfigOrBuilder getTransferLearningConfigOrBuilder()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns

Type	Description
StudySpec.TransferLearningConfigOrBuilder

hasConvexAutomatedStoppingSpec()

public abstract boolean hasConvexAutomatedStoppingSpec()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns

Type	Description
boolean	Whether the convexAutomatedStoppingSpec field is set.

hasConvexStopConfig() (deprecated)

public abstract boolean hasConvexStopConfig()

Deprecated. google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See google/cloud/aiplatform/v1beta1/study.proto;l=607

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns

Type	Description
boolean	Whether the convexStopConfig field is set.

hasDecayCurveStoppingSpec()

public abstract boolean hasDecayCurveStoppingSpec()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns

Type	Description
boolean	Whether the decayCurveStoppingSpec field is set.

hasMedianAutomatedStoppingSpec()

public abstract boolean hasMedianAutomatedStoppingSpec()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns

Type	Description
boolean	Whether the medianAutomatedStoppingSpec field is set.

hasTransferLearningConfig()

public abstract boolean hasTransferLearningConfig()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns

Type	Description
boolean	Whether the transferLearningConfig field is set.