mne.decoding.get_coef

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

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.

Returns

coefarray

The coefficients.

References

1

Stefan Haufe, Frank Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, and Felix Bießmann. On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage, 87:96–110, 2014. doi:10.1016/j.neuroimage.2013.10.067.

Examples using mne.decoding.get_coef

Decoding (MVPA)

Decoding source space data

Linear classifier on sensor data with plot patterns and filters

previous

mne.decoding.cross_val_multiscore

next

Realtime