pyreal.transformers.Transformer

class pyreal.transformers.Transformer(wrapped_transformer, columns=None, **kwargs)

Wrap any transformer with a .fit() and .transform() method for use with Pyreal. Will convert outputs to DataFrames as needed.

__init__(wrapped_transformer, columns=None, **kwargs)

Set this Transformer’s flags.

Parameters:

• model (Boolean) – If True, this transformer is required by the model-ready feature space. It will be run any time a model prediction is needed

• interpret (Boolean) – If True, this transformer makes the data more human-interpretable

• algorithm (Boolean) – If True, this transformer is required for the explanation algorithm. If algorithm is False, but model is True, this transformer will be applied only when making model predictions during the explanation algorithm. Cannot be True if if the model flag is False

Methods

__init__(wrapped_transformer[, columns])	Set this Transformer's flags.
data_transform(x)	Transforms data x to a new feature space.
fit(x, **params)	Fit this transformer to data
fit_transform(x, **fit_params)	Fits this transformer to data and then transforms the same data
from_transform_function(transform_func)
inverse_data_transform(x_new)	Wrapper for inverse_data_transform.
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 feature contribution explanations
transform_explanation_additive_feature_importance(...)	Transforms additive feature 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