SklearnModelAdapter#

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

Adapter for sklearn RegressorMixin backends.

Parameters:: model (RegressorMixin) – CausalPy-compatible sklearn backend model.

Methods

`SklearnModelAdapter.coefficients`()	Return fitted sklearn coefficients.
`SklearnModelAdapter.fit`(X, y, *[, coords])	Fit the sklearn model.
`SklearnModelAdapter.predict`(X, *[, ...])	Predict using the sklearn model.
`SklearnModelAdapter.print_coefficients`(labels)	Print sklearn model coefficients.
`SklearnModelAdapter.score`(X, y, **kwargs)	Score predictions from the sklearn model.

Attributes

`idata`	OLS models do not expose InferenceData.
`is_bayesian`	Whether the backend is Bayesian (PyMC).
`is_ols`	Whether the backend is OLS/sklearn.
`kind`	Backend identifier.
`model`	The underlying sklearn model.

__init__(model)[source]#