Interface ModelMonitoringObjectiveSpecOrBuilder (3.45.0)

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.