sklearn-sfa’s API

This is a list of classes and methods implemented in sklearn-sfa.

SFA

SFA([n_components, batch_size, copy, …])

Slow Feature Analysis (SFA)

Utils

utils.ReceptiveSlicer(input_shape[, …])	Slicing part of field slicing.
utils.ReceptiveRebuilder(reconstruction_shape)	Reconstruction part of field slicing
utils.randomWalkFromCSC(csc_matrix[, …])	This method produces an index trajectory on a graph by random walk, when the adjacency matrix is given in Compressed Sparse Column (CSC) Matrix format as implemented by scipy.