mne.decoding.get_coef¶

mne.decoding.get_coef(estimator, attr=’filters_’, inverse_transform=False)[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 [R40].

Parameters:	estimator : object | None An estimator from scikit-learn. attr : str The name of the coefficient attribute to retrieve, typically 'filters_' (default) or 'patterns_'. inverse_transform : bool If True, returns the coefficients after inverse transforming them with the transformer steps of the estimator.
Returns:	coef : array The coefficients.

References

[R40]

(1, 2) Haufe, S., Meinecke, F., Gorgen, K., Dahne, S., Haynes, J.-D., Blankertz, B., & Biessmann, F. (2014). On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage, 87, 96-110. doi:10.1016/j.neuroimage.2013.10.067.

Examples using mne.decoding.get_coef¶

Linear classifier on sensor data with plot patterns and filters