mne.decoding.get_coef#

mne.decoding.get_coef(estimator, attr='filters_', inverse_transform=False, *, step_name=None, verbose=None)[source]#

Retrieve the coefficients of an estimator ending with a Linear Model.

This is typically useful to retrieve “spatial filters” or “spatial patterns” of decoding models [1].

Parameters:

estimatorobject | None: An estimator from scikit-learn.
attrstr: The name of the coefficient attribute to retrieve, typically 'filters_' (default) or 'patterns_'.
inverse_transformbool: If True, returns the coefficients after inverse transforming them with the transformer steps of the estimator.
step_namestr | None: Name of the sklearn’s pipeline step to get the coef from. If inverse_transform is True, the inverse transformations will be applied using transformers before this step. If None, the last step will be used. Defaults to None.

New in v1.11.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

References

Examples using `mne.decoding.get_coef`#