@@ -104,10 +104,6 @@ def _get_default_thresholds(cls) -> "NumericalDriftMetrics":
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normalized_wasserstein_distance = 0.1 ,
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)
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- @classmethod
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- def defaults (cls ) -> "NumericalDriftMetrics" :
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- return cls ._get_default_thresholds ()
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-
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class CategoricalDriftMetrics (RestTranslatableMixin ):
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"""Categorical Drift Metrics
@@ -166,13 +162,6 @@ def _get_default_thresholds(cls) -> "CategoricalDriftMetrics":
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jensen_shannon_distance = 0.1 ,
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)
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- @classmethod
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- def defaults (cls ) -> "CategoricalDriftMetrics" :
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- return cls ._get_default_thresholds ()
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-
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- def get_name_and_threshold (self ) -> Tuple :
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- return self ._find_name_and_threshold ()
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-
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class DataDriftMetricThreshold (MetricThreshold ):
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"""Data drift metric threshold
@@ -241,8 +230,8 @@ def _from_rest_object(cls, obj: DataDriftMetricThresholdBase) -> "DataDriftMetri
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@classmethod
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def _get_default_thresholds (cls ) -> "DataDriftMetricThreshold" :
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return cls (
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- numerical = NumericalDriftMetrics .defaults (),
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- categorical = CategoricalDriftMetrics .defaults (),
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+ numerical = NumericalDriftMetrics ._get_default_thresholds (),
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+ categorical = CategoricalDriftMetrics ._get_default_thresholds (),
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)
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def __eq__ (self , other : Any ) -> bool :
@@ -316,8 +305,8 @@ def _from_rest_object(cls, obj: PredictionDriftMetricThresholdBase) -> "Predicti
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@classmethod
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def _get_default_thresholds (cls ) -> "PredictionDriftMetricThreshold" :
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return cls (
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- numerical = NumericalDriftMetrics .defaults (),
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- categorical = CategoricalDriftMetrics .defaults (),
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+ numerical = NumericalDriftMetrics ._get_default_thresholds (),
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+ categorical = CategoricalDriftMetrics ._get_default_thresholds (),
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)
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def __eq__ (self , other : Any ) -> bool :
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