pyreal.transformers.MappingsOneHotDecoder

class pyreal.transformers.MappingsOneHotDecoder(mappings, **kwargs)

Converts data from one-hot encoded form to categorical, with feature names based on a mappings object which includes two dictionaries

__init__(mappings, **kwargs)

Initialize the transformer

Parameters:

mappings (OneHotMappings) – Mappings from categorical column names to one-hot-encoded

Methods

__init__(mappings, **kwargs)	Initialize the transformer
data_transform(x)	One-hot decode x.
fit(x, **params)	Fit this transformer to data
fit_transform(x, **fit_params)	Fits this transformer to data and then transforms the same data
inverse_data_transform(x_cat)	Transforms one-hot decoded data x_cat back into one-hot encoded form.
inverse_transform(x_new)	Transforms data x_new from new feature space back into the original feature space.
inverse_transform_explanation(explanation)	Transforms the explanation from the second feature space handled by this transformer to the first.
inverse_transform_explanation_additive_feature_contribution(...)	Inverse transforms additive feature contribution explanations
inverse_transform_explanation_additive_feature_importance(...)	Inverse transforms additive feature importance explanations
inverse_transform_explanation_decision_tree(...)	Inverse transforms decision-tree explanations
inverse_transform_explanation_example(...)	Inverse transforms example-based explanations
inverse_transform_explanation_feature_based(...)	Inverse transforms feature-based explanations
inverse_transform_explanation_feature_contribution(...)	Inverse transforms feature contribution explanations
inverse_transform_explanation_feature_importance(...)	Inverse transforms feature importance explanations
inverse_transform_explanation_similar_example(...)	Inverse transforms similar-example-based explanations
set_flags([model, interpret, algorithm])
transform(x)	Wrapper for data_transform.
transform_explanation(explanation)	Transforms the explanation from the first feature space handled by this transformer to the second.
transform_explanation_additive_feature_contribution(...)	Transforms additive contribution explanations
transform_explanation_additive_feature_importance(...)	Transforms additive importance explanations
transform_explanation_decision_tree(explanation)	Inverse transforms feature-based explanations
transform_explanation_example(explanation)	Transforms example-based explanations
transform_explanation_feature_based(explanation)	Transforms feature-based explanations
transform_explanation_feature_contribution(...)	Transforms feature contribution explanations
transform_explanation_feature_importance(...)	Transforms feature importance explanations
transform_explanation_similar_example(...)	Transforms example-based explanations