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 | |
|---|---|
| Name | Description |
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 | |
|---|---|
| Type | Description |
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 | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\SnapshotAnalysis
|
| Returns | |
|---|---|
| Type | Description |
$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 | |
|---|---|
| Type | Description |
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 | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ImportFeaturesAnalysis
|
| Returns | |
|---|---|
| Type | Description |
$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 | |
|---|---|
| Type | Description |
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 | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig
|
| Returns | |
|---|---|
| Type | Description |
$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 | |
|---|---|
| Type | Description |
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 | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\FeaturestoreMonitoringConfig\ThresholdConfig
|
| Returns | |
|---|---|
| Type | Description |
$this | |