PyMCModelAdapter#

class causalpy.experiments.model_adapter.PyMCModelAdapter[source]#

Adapter for PyMCModel backends.

Parameters:: model (PyMCModel) – Fitted or unfitted PyMC backend model.

Methods

`PyMCModelAdapter.coefficients`()	Return posterior mean coefficients.
`PyMCModelAdapter.fit`(X, y, *[, coords])	Fit the PyMC model.
`PyMCModelAdapter.predict`(X, *[, out_of_sample])	Predict using the PyMC model.
`PyMCModelAdapter.print_coefficients`(labels)	Print PyMC model coefficients.
`PyMCModelAdapter.score`(X, y, **kwargs)	Score predictions from the PyMC model.

Attributes

`idata`	Return the model's InferenceData object.
`is_bayesian`	Whether the backend is Bayesian (PyMC).
`is_ols`	Whether the backend is OLS/sklearn.
`kind`	Backend identifier.
`model`	The underlying PyMC model.

__init__(model)[source]#