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tf's Issues

RuntimeWarning

when i train the model,there are some issues as followings:
TF.py:88: RuntimeWarning: overflow encountered in mulyiply
step_S += lrS * e_ijk * reduce(np.multiply.outer, Ui_list)
TF.py:88: RuntimeWarning: invalid value encountered in add
step_S += lrS * e_ijk * reduce(np.multiply.outer, Ui_list)

non integer value for feature

def read_data(file_name):
	'''
	X: index 
	Y: rating values
	'''
	X = np.loadtxt(file_name, dtype=float, delimiter=',')
	ndims = X.shape[1]-1
	Y = X.T[ndims] # rating values
	X = np.delete(X, ndims, 1).astype(int) # index values
	dims = [X.T[i].max()+1 for i in range(ndims)]
	return [X, Y], dims

In the code, i saw you force the value of X to be integer. Why do you need this?

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