Class FeatureAttributionSpec (1.51.0)

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

Feature attribution monitoring spec.

Attributes
Name	Description
features	MutableSequence[str] Feature names interested in monitoring. These should be a subset of the input feature names specified in the monitoring schema. If the field is not specified all features outlied in the monitoring schema will be used.
default_alert_condition	google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertCondition Default alert condition for all the features.
feature_alert_conditions	MutableMapping[str, google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertCondition] Per feature alert condition will override default alert condition.
batch_explanation_dedicated_resources	google.cloud.aiplatform_v1beta1.types.BatchDedicatedResources The config of resources used by the Model Monitoring during the batch explanation for non-AutoML models. If not set, n1-standard-2 machine type will be used by default.

Classes

FeatureAlertConditionsEntry

FeatureAlertConditionsEntry(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

FeatureAttributionSpec

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

Feature attribution monitoring spec.