ica.py
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	# Independent Component Analysis

	from sklearn.decomposition import FastICA
	from weightmatrices.utils import utils

	def get_ica_trafo_matrix(data_matrix, n_h):
	transformer = FastICA(n_components=n_h, tol=0.001)
	data_transformed = transformer.fit_transform(data_matrix)
	return transformer.components_

	def get_weightmatrices_ica(data_matrix, n_h):
	print("creating weigth matrix for ICA for "+str(n_h)+" hidden neurons...")
	n_in_features = data_matrix.shape[1]
	assert n_h <= n_in_features, "Number of requested independent components higher than input dimensionality!"
	W = get_ica_trafo_matrix(data_matrix, n_h)
	W = utils.normalise_weightmatrix(W)
	return W