Class PredictionDriftDetectionConfig (1.0.1)

Version 1.0.1

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

The config for Prediction data drift detection. .. attribute:: drift_thresholds

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configed for that feature. The threshold here is against feature distribution distance between different time windws.

:type: Sequence[google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.DriftThresholdsEntry]

Inheritance

builtins.object > proto.message.Message > PredictionDriftDetectionConfig

Classes

DriftThresholdsEntry

DriftThresholdsEntry(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.