Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TrainingPredictionSkewDetectionConfig.
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
Generated from protobuf message google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ skew_thresholds |
array|Google\Protobuf\Internal\MapField
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature. |
↳ attribution_score_skew_thresholds |
array|Google\Protobuf\Internal\MapField
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature. |
↳ default_skew_threshold |
Google\Cloud\AIPlatform\V1\ThresholdConfig
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features. |
getSkewThresholds
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
Generated from protobuf field map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\MapField | |
setSkewThresholds
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
Generated from protobuf field map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
| Parameter | |
|---|---|
| Name | Description |
var |
array|Google\Protobuf\Internal\MapField
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getAttributionScoreSkewThresholds
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
Generated from protobuf field map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\MapField | |
setAttributionScoreSkewThresholds
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
Generated from protobuf field map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
| Parameter | |
|---|---|
| Name | Description |
var |
array|Google\Protobuf\Internal\MapField
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getDefaultSkewThreshold
Skew anomaly detection threshold used by all features.
When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
Generated from protobuf field .google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
| Returns | |
|---|---|
| Type | Description |
Google\Cloud\AIPlatform\V1\ThresholdConfig|null | |
hasDefaultSkewThreshold
clearDefaultSkewThreshold
setDefaultSkewThreshold
Skew anomaly detection threshold used by all features.
When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
Generated from protobuf field .google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\ThresholdConfig
|
| Returns | |
|---|---|
| Type | Description |
$this | |