WeightedProportion

class causalpy.skl_models.WeightedProportion

Weighted proportion model for causal inference.

Used for synthetic control methods, for example.

Methods

WeightedProportion.calculate_cumulative_impact(impact)	Calculate the cumulative impact intervention.
WeightedProportion.calculate_impact(y_true, ...)	Calculate the causal impact of the intervention.
WeightedProportion.fit(X, y)	Fit model on data X with predictor y.
WeightedProportion.get_coeffs()	Get the coefficients of the model as a numpy array.
WeightedProportion.get_metadata_routing()	Get metadata routing of this object.
WeightedProportion.get_params([deep])	Get parameters for this estimator.
WeightedProportion.loss(W, X, y)	Compute root mean squared loss with data X, weights W, and predictor y.
WeightedProportion.predict(X)	Predict results for data X.
WeightedProportion.print_coefficients(labels)	Print the coefficients of the model with the corresponding labels.
WeightedProportion.score(X, y[, sample_weight])	Return coefficient of determination on test data.
WeightedProportion.set_params(**params)	Set the parameters of this estimator.
WeightedProportion.set_score_request(*[, ...])	Configure whether metadata should be requested to be passed to the score method.

Attributes

coef_

__init__()

classmethod __new__(*args, **kwargs)