Interface ModelMonitoringObjectiveSpecOrBuilder (3.54.0)

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public interface ModelMonitoringObjectiveSpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getBaselineDataset()

public abstract ModelMonitoringInput getBaselineDataset()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
ModelMonitoringInput	The baselineDataset.

getBaselineDatasetOrBuilder()

public abstract ModelMonitoringInputOrBuilder getBaselineDatasetOrBuilder()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
ModelMonitoringInputOrBuilder

getExplanationSpec()

public abstract ExplanationSpec getExplanationSpec()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
ExplanationSpec	The explanationSpec.

getExplanationSpecOrBuilder()

public abstract ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
ExplanationSpecOrBuilder

getObjectiveCase()

public abstract ModelMonitoringObjectiveSpec.ObjectiveCase getObjectiveCase()

Returns
Type	Description
ModelMonitoringObjectiveSpec.ObjectiveCase

getTabularObjective()

public abstract ModelMonitoringObjectiveSpec.TabularObjective getTabularObjective()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.TabularObjective	The tabularObjective.

getTabularObjectiveOrBuilder()

public abstract ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder getTabularObjectiveOrBuilder()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder

getTargetDataset()

public abstract ModelMonitoringInput getTargetDataset()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
ModelMonitoringInput	The targetDataset.

getTargetDatasetOrBuilder()

public abstract ModelMonitoringInputOrBuilder getTargetDatasetOrBuilder()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
ModelMonitoringInputOrBuilder

hasBaselineDataset()

public abstract boolean hasBaselineDataset()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
boolean	Whether the baselineDataset field is set.

hasExplanationSpec()

public abstract boolean hasExplanationSpec()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
boolean	Whether the explanationSpec field is set.

hasTabularObjective()

public abstract boolean hasTabularObjective()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
boolean	Whether the tabularObjective field is set.

hasTargetDataset()

public abstract boolean hasTargetDataset()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
boolean	Whether the targetDataset field is set.