nilearn.decoding: Decoding

Decoding tools and algorithms.

Classes

Decoder([estimator, mask, cv, param_grid, ...])	A wrapper for popular classification strategies in neuroimaging.
DecoderRegressor([estimator, mask, cv, ...])	A wrapper for popular regression strategies in neuroimaging.
FREMClassifier([estimator, mask, cv, ...])	State of the art decoding scheme applied to usual classifiers.
FREMRegressor([estimator, mask, cv, ...])	State of the art decoding scheme applied to usual regression estimators.
SpaceNetClassifier([penalty, loss, ...])	Classification learners with sparsity and spatial priors.
SpaceNetRegressor([penalty, l1_ratios, ...])	Regression learners with sparsity and spatial priors.
SearchLight(mask_img[, process_mask_img, ...])	Implement search_light analysis using an arbitrary type of classifier.