Class TrainingPredictionSkewDetectionConfig (1.152.0)

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TrainingPredictionSkewDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

Attributes
Name	Description
skew_thresholds	MutableMapping[str, google.cloud.aiplatform_v1beta1.types.ThresholdConfig] 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	MutableMapping[str, google.cloud.aiplatform_v1beta1.types.ThresholdConfig] 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_v1beta1.types.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.

Classes

AttributionScoreSkewThresholdsEntry

AttributionScoreSkewThresholdsEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

SkewThresholdsEntry

SkewThresholdsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

Methods

TrainingPredictionSkewDetectionConfig

TrainingPredictionSkewDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.