Google Cloud Ai Platform V1 Client - Class FeaturestoreMonitoringConfig (0.10.0)

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.

Parameters
NameDescription
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;

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\SnapshotAnalysis|null

hasSnapshotAnalysis

clearSnapshotAnalysis

setSnapshotAnalysis

The config for Snapshot Analysis Based Feature Monitoring.

Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\SnapshotAnalysis
Returns
TypeDescription
$this

getImportFeaturesAnalysis

The config for ImportFeatures Analysis Based Feature Monitoring.

Generated from protobuf field .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ImportFeaturesAnalysis|null

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;

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ImportFeaturesAnalysis
Returns
TypeDescription
$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;

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig|null

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;

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig
Returns
TypeDescription
$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;

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig|null

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;

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig
Returns
TypeDescription
$this