`tensorly.cp_tensor`.cp_mode_dot

cp_mode_dot(cp_tensor, matrix_or_vector, mode, keep_dim=False, copy=False)[source]

n-mode product of a CP tensor and a matrix or vector at the specified mode

Parameters:	cp_tensortl.CPTensor or (core, factors) matrix_or_vectorndarray 1D or 2D array of shape `(J, i_k)` or `(i_k, )` matrix or vectors to which to n-mode multiply the tensor modeint
Returns:	CPTensor = (core, factors) mode-mode product of tensor by matrix_or_vector * of shape $(i_1, ..., i_{k-1}, J, i_{k+1}, ..., i_N)$ if matrix_or_vector is a matrix * of shape $(i_1, ..., i_{k-1}, i_{k+1}, ..., i_N)$ if matrix_or_vector is a vector

tensorly.cp_tensor.cp_mode_dot