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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class FeaturestoreMonitoringConfig.
Configuration of how features in Featurestore are monitored.
Generated from protobuf message google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig
Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ snapshot_analysis
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\SnapshotAnalysis
The config for Snapshot Analysis Based Feature Monitoring.
↳ import_features_analysis
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ImportFeaturesAnalysis
The config for ImportFeatures Analysis Based Feature Monitoring.
↳ numerical_threshold_config
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type ( Feature.ValueType ) DOUBLE or INT64).
↳ categorical_threshold_config
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type ( Feature.ValueType ) BOOL or STRING).
getSnapshotAnalysis
The config for Snapshot Analysis Based Feature Monitoring.
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
hasSnapshotAnalysis
clearSnapshotAnalysis
setSnapshotAnalysis
The config for Snapshot Analysis Based Feature Monitoring.
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
$this
getImportFeaturesAnalysis
The config for ImportFeatures Analysis Based Feature Monitoring.
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
hasImportFeaturesAnalysis
clearImportFeaturesAnalysis
setImportFeaturesAnalysis
The config for ImportFeatures Analysis Based Feature Monitoring.
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
$this
getNumericalThresholdConfig
Threshold for numerical features of anomaly detection.
This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type ( Feature.ValueType ) DOUBLE or INT64).
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
hasNumericalThresholdConfig
clearNumericalThresholdConfig
setNumericalThresholdConfig
Threshold for numerical features of anomaly detection.
This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type ( Feature.ValueType ) DOUBLE or INT64).
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
$this
getCategoricalThresholdConfig
Threshold for categorical features of anomaly detection.
This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type ( Feature.ValueType ) BOOL or STRING).
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
hasCategoricalThresholdConfig
clearCategoricalThresholdConfig
setCategoricalThresholdConfig
Threshold for categorical features of anomaly detection.
This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type ( Feature.ValueType ) BOOL or STRING).
Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
$this
