classifier_pipeline¶
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class
deduplipy.classifier_pipeline.
ClassifierPipeline
(interaction: bool = False)¶ Bases:
sklearn.base.BaseEstimator
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fit
(X: Union[pandas.core.frame.DataFrame, numpy.ndarray], y: Union[pandas.core.frame.DataFrame, numpy.ndarray]) → deduplipy.classifier_pipeline.classifier_pipeline.ClassifierPipeline¶ Fit the classification pipeline. Does not throw an error when there is only one class in the targets during the first steps in active learning.
- Args:
X: features y: target
- Returns:
fitted instance
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predict
(X: Union[pandas.core.frame.DataFrame, numpy.ndarray]) → numpy.ndarray¶ Predict using fitted instance.
- Args:
X: features
- Returns:
predictions
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predict_proba
(X: Union[pandas.core.frame.DataFrame, numpy.ndarray]) → numpy.ndarray¶ Predict probabilities using fitted instance.
- Args:
X: features
- Returns:
predicted probabilities
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