TELF.factorization.SPLIT: Joint NMFk factorization of multiple data via SPLIT

Joint NMFk factorization of multiple data via SPLIT

Available Functions

SPLIT.__init__(Xs, Ks, nmfk_params[, ...])
SPLIT.fit([fname])
SPLIT.transform()
SPLIT.fit_transform()
SPLIT.set_params(parameters)
SPLIT.get_params()

Module Contents

class TELF.factorization.SPLIT.SPLIT(Xs: dict, Ks: dict, nmfk_params: dict, split_nmfk_params={}, Ks_split_step=1, Ks_split_min=1, H_regress_gpu=False, H_learn_method='regress', H_regress_iters=1000, H_regress_method='fro', H_regress_init='random', verbose=True, random_state=42)

Bases: object

fit(fname='')

fit_transform()

get_params()

set_params(parameters)

transform()