Sparse_std should work both csc and csr matrices. X, y = make_regression(n_samples=1000, n_features=1000) X[X < 2.5] = 0.0 X = sparse.csr_matrix(X) sparse_std(X.shape[0], X.shape[1], X.data, X.indices ...
Abstract: CSR (Compressed Sparse Row) is the most popular and widely used sparse matrix representation format for Sparse Matrix-Vector Multiplication (SpMV), which is a key operation in many ...
Abstract: Sparse Matrix-Vector multiplication (SpMV) is one of the most significant yet challenging issues in computational science area. It is a memory-bound application whose performance mostly ...
This repository contains function for stacking sparse and sparse or sparse and dense matrices horizontally (column wise) with resulting matrix in CSR format. In notebook you’ll find function itself, ...