>>> import numpy as np >>> from scipy.sparse import csr_array >>> A = csr_array ([[1, 2, 0], [0, 0, 3], [4, 0, 5]]) >>> v = np. array ([1, 0,-1]) >>> A. dot (v) array([ 1, -3, -1], dtype=int64)

Perform the equivalent of numpy.dot on two arrays. Parameters: The arrays to perform the dot operation on. Returns: The result of the operation. Raises: If all arguments don't have zero fill-values. numpy.dot : NumPy equivalent function. sparse.COO.dot : Equivalent function for …

This is a wrapper for the sparse matrix multiplication in the intel MKL library. It is implemented entirely in native python using ctypes. The main advantage to MKL (which motivated this) is multithreaded sparse matrix multiplication. The scipy sparse implementation is single-threaded at the time of writing (2020-01-03).

Apr 22, 2016 · I'd suggest making a couple of small matrices, and try the various forms of multiplication, including what you think is the np.dot equivalent. It will be easier to tell what's going on with something small. a = np.arange(12).reshape(3,4) a1 = sparse.csr_matrix(a) np.dot(a, a.T) a1 * a.T a*a a1.multiply(a1) etc

sparse_dot_mkl. This is a wrapper for the sparse matrix multiplication in the intel MKL library. It is implemented entirely in native python using ctypes. The main advantage to MKL (which motivated this) is multithreaded sparse matrix multiplication. The scipy sparse implementation is single-threaded at the time of writing (2020-01-03).

sparse_dot Highly efficient dot products using sparse arrays (in location/data form)

safe_sparse_dot# sklearn.utils.extmath. safe_sparse_dot (a, b, *, dense_output = False) [source] # Dot product that handle the sparse matrix case correctly. Parameters: a {ndarray, sparse matrix} b {ndarray, sparse matrix} dense_output bool, default=False. When False, a and b both being sparse will yield sparse output. When True, output will ...

Call the dot product as a method of the sparse matrix: numpy.dot is a Universal Function that is unaware of your matrix's sparsity, whereas scipy.sparse.csc_matrix.dot is a Method that is tailored for your matrix type and, thus, uses a sparse algorithm. For sparse arrays * …

Oct 10, 2017 · A.dot(B) uses sparse method of A. np.array(A) is different from A.toarray(). Try it. Also experiment with np.dot(B, A). It may give A control, but I'm not sure. In any case don't assume numpy functions handle sparse matrices right. If …

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication - flatironinstitute/sparse_dot