ModelAdapter

class causalpy.experiments.model_adapter.ModelAdapter

Experiment-agnostic wrapper around a CausalPy statistical backend.

Methods

ModelAdapter.coefficients()	Return point estimates of model coefficients.
ModelAdapter.fit(X, y, *[, coords])	Fit the model with backend-appropriate conventions.
ModelAdapter.predict(X, *[, out_of_sample])	Predict with backend-appropriate conventions.
ModelAdapter.print_coefficients(labels[, ...])	Print model coefficients with labels.
ModelAdapter.score(X, y, **kwargs)	Score predictions against observed outcomes.

Attributes

idata	Return InferenceData for Bayesian models.
is_bayesian	Whether the backend is Bayesian (PyMC).
is_ols	Whether the backend is OLS/sklearn.
kind	Backend identifier.
model	The underlying model instance.

__init__()

classmethod __new__(*args, **kwargs)