BPt.extensions.SingleConnectivityMeasure#

class BPt.extensions.SingleConnectivityMeasure(cov_estimator=LedoitWolf(store_precision=False), kind='covariance', vectorize=False, discard_diagonal=False)[source]#

See nilearn.connectome.ConnectivityMeasure. This class is just a wrapper to let this object work when passed a single connectivity matrix.

This class requires extra dependency nilearn to be installed.

Methods

`fit`(X[, y])	Fit the covariance estimator to the given time series for each subject.
`fit_transform`(X[, y])	Fit the covariance estimator to the given time series for each subject.
`get_params`([deep])	Get parameters for this estimator.
`inverse_transform`(connectivities[, diagonal])	Returns connectivity matrices from connectivities, vectorized or not.
`set_params`(**params)	Set the parameters of this estimator.
`transform`(X)	Apply transform to covariances matrices to get the connectivity matrices for the chosen kind.