pyeeg.cca.CCA_Estimator.fit

CCA_Estimator.fit(X, y, cca_implementation='nt', thresh_x=None, normalise=True, thresh_y=None, n_comp=2, knee_point=None, drop=True, y_already_dropped=False, lag_y=False, ylags=(0.0,), feat_names=(), opt_cca_svd={})

Fit CCA model.

Xndarray (nsamples x nfeats)

Array of features (time-lagged)

yndarray (nsamples x nchans)

EEG data

Returns:

• coef_ (ndarray (nlags x nfeats))

• intercept_ (ndarray (nfeats x 1))