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azure.ai.ml.entities.FeatureAttributionDriftSignal.yml
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azure.ai.ml.entities.FeatureAttributionDriftSignal.yml
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### YamlMime:PythonClass
uid: azure.ai.ml.entities.FeatureAttributionDriftSignal
name: FeatureAttributionDriftSignal
fullName: azure.ai.ml.entities.FeatureAttributionDriftSignal
module: azure.ai.ml.entities
inheritances:
- azure.ai.ml.entities._mixins.RestTranslatableMixin
summary: '> [!NOTE]
> This is an experimental class, and may change at any time. Please see [https://aka.ms/azuremlexperimental](https://aka.ms/azuremlexperimental)
for more information.
>
Feature attribution drift signal'
constructor:
syntax: 'FeatureAttributionDriftSignal(*, production_data: List[FADProductionData]
| None = None, reference_data: ReferenceData, metric_thresholds: FeatureAttributionDriftMetricThreshold,
alert_enabled: bool = False, properties: Dict[str, str] | None = None)'
keywordOnlyParameters:
- name: production_data
description: The data for which drift will be calculated.
- name: reference_data
description: The data to calculate drift against.
types:
- <xref:azure.ai.ml.entities.ReferenceData>
- name: metric_thresholds
description: 'Metrics to calculate and their
associated thresholds.'
types:
- <xref:azure.ai.ml.entities.FeatureAttributionDriftMetricThreshold>
- name: alert_enabled
description: Whether or not to enable alerts for the signal. Defaults to True.
types:
- <xref:bool>
variables:
- description: The type of the signal. Set to "feature_attribution_drift" for this
class.
name: type
types:
- <xref:str>