Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig.
The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#explanation_config
def explanation_config() -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::ExplanationConfig
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::ExplanationConfig) — The config for integrating with Vertex Explainable AI.
#explanation_config=
def explanation_config=(value) -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::ExplanationConfig
Parameter
- value (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::ExplanationConfig) — The config for integrating with Vertex Explainable AI.
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::ExplanationConfig) — The config for integrating with Vertex Explainable AI.
#prediction_drift_detection_config
def prediction_drift_detection_config() -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::PredictionDriftDetectionConfig
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::PredictionDriftDetectionConfig) — The config for drift of prediction data.
#prediction_drift_detection_config=
def prediction_drift_detection_config=(value) -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::PredictionDriftDetectionConfig
Parameter
- value (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::PredictionDriftDetectionConfig) — The config for drift of prediction data.
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::PredictionDriftDetectionConfig) — The config for drift of prediction data.
#training_dataset
def training_dataset() -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset) — Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
#training_dataset=
def training_dataset=(value) -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset
Parameter
- value (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset) — Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset) — Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
#training_prediction_skew_detection_config
def training_prediction_skew_detection_config() -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig) — The config for skew between training data and prediction data.
#training_prediction_skew_detection_config=
def training_prediction_skew_detection_config=(value) -> ::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig
Parameter
- value (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig) — The config for skew between training data and prediction data.
Returns
- (::Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig) — The config for skew between training data and prediction data.