mne.decoding.get_coef#

mne.decoding.get_coef(estimator, attr='filters_', inverse_transform=False, *, 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.

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:
coefarray

The coefficients.

References

Examples using mne.decoding.get_coef#

Decoding (MVPA)

Decoding (MVPA)

Decoding source space data

Decoding source space data

Linear classifier on sensor data with plot patterns and filters

Linear classifier on sensor data with plot patterns and filters