Interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder (2.4.0) 

public static interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getEnableFeatureAttributes()

public abstract boolean getEnableFeatureAttributes()

If want to analyze the Explainable AI feature attribute scores or not. If set to true, Vertex AI will log the feature attributions from explain response and do the skew/drift detection for them.

bool enable_feature_attributes = 1;

Returns
TypeDescription
boolean

The enableFeatureAttributes.

getExplanationBaseline()

public abstract ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline getExplanationBaseline()

Predictions generated by the BatchPredictionJob using baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Returns
TypeDescription
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

The explanationBaseline.

getExplanationBaselineOrBuilder()

public abstract ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder()

Predictions generated by the BatchPredictionJob using baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Returns
TypeDescription
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder

hasExplanationBaseline()

public abstract boolean hasExplanationBaseline()

Predictions generated by the BatchPredictionJob using baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Returns
TypeDescription
boolean

Whether the explanationBaseline field is set.