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public static interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getEnableFeatureAttributes()
public abstract boolean getEnableFeatureAttributes()
If want to analyze the Vertex 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 | |
---|---|
Type | Description |
boolean |
The enableFeatureAttributes. |
getExplanationBaseline()
public abstract ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline getExplanationBaseline()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline |
The explanationBaseline. |
getExplanationBaselineOrBuilder()
public abstract ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder |
hasExplanationBaseline()
public abstract boolean hasExplanationBaseline()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Returns | |
---|---|
Type | Description |
boolean |
Whether the explanationBaseline field is set. |