I am trying to run the following on Google Colab : !pip install torch_sparse At first, it seems to be working fine: Collecting torch_sparse Downloading https://files.pythonhosted.org/packages/9a/8...

I'm working with some rather large sparse matrices (from 5000x5000 to 20000x20000) and need to find an efficient way to concatenate matrices in a flexible way in order to construct a stochastic mat...

I'm working with IoT data from one source which send's tons of GB of sparse data from sensor readings. To make snapshots for analysis I try to export them to a small file and read it later as spars...

I have a coo_matrix: from scipy.sparse import coo_matrix coo = coo_matrix((3, 4), dtype = "int8") That I want converted to a pytorch sparse tensor. According to the documentation https://pytorch...

There is also a counterpart which is called density array. What does this mean? I have done some search, but didn't get accurate information.

I have a pytorch sparse tensor that I need sliced row/column wise using this slice [idx][:,idx] where idx is a list of indexes, using the mentioned slice yields my desired result on an ordinary flo...

In scipy, we can construct a sparse matrix using scipy.sparse.lil_matrix() etc. But the matrix is in 2d. I am wondering if there is an existing data structure for sparse 3d matrix / array (tensor)...

I'm working turning a list of records with two columns (A and B) into a matrix representation. I have been using the pivot function within pandas, but the result ends up being fairly large. Does pa...

According to MKL BLAS documentation "All matrix-matrix operations (level 3) are threaded for both dense and sparse BLAS." http://software.intel.com/en-us/articles/parallelism-in-the-intel-math-kern...

Given a sparse binary matrix A (csr, coo, whatever) I want to make a plot such that I can see the position (i,j) = white in the figure if A(i,j) = 1, and (i,j) = black if A(i,j) = 0; For a dense n...

I have a very large sparse matrix of the type 'scipy.sparse.coo.coo_matrix'. I can convert to csr with .tocsr(), however .todense() will not work since the array is too large. I want to be able to ...

The problem I wish to solve a general system of linear equations A*x=b. The m-by-m matrix is sparse, real, square, somewhat poorly-conditioned, non-symmetric, but it is singular (rank(A)==m-1) bec...

I have a dissimilarity matrix on which I would like to perform multidimensional scaling (MDS) using the sklearn.manifold.MDS function. The dissimilarity between some elements in this matrix is not ...

I am using python scikit-learn for document clustering and I have a sparse matrix stored in a dict object: For example: doc_term_dict = { ('d1','t1'): 12, \ ('d2','t3'): 10, \ ('d3','t2'): 5 \ ...

I have a Python list of row information for a sparse matrix. Each row is represented as a list of (column, value) tuples. Call it alist: alist = [[(1,10), (3,-3)], [(2,12)]] How can I efficient...

Every once in a while, I get to manipulate a csr_matrix but I always forget how the parameters indices and indptr work together to build a sparse matrix. I am looking for a clear and intuitive exp...

I was following paper : Effective Latent Models for Binary Feedback in Recommender Systems by Maksims N. Volkovs and Guang Wei Yu. It is for producing recommendation using model based approach, SVD...

I'm wondering if there is a fast on-disk key-value storage with Python bindings which supports millions of read/write calls to separate keys. My problem involves counting word co-occurrences in a v...

I am wondering if there is any difference (advantage/disadvantage) of using .toarray() vs. .todense() on sparse NumPy arrays. E.g., import scipy as sp import numpy as np sparse_m = sp.sparse.bsr_ma...

I don't know if it's possible, and it's possibly a naive question, but how can I set the equivalent of R's rownames() and colnames() to a scipy.sparse.csr.csr_matrix ? I saw that my_matrix.dtype.n...

I am currently trying to speed up my large sparse (scipy) matrix multiplications. I have successfully linked my numpy installation with OpenBLAS and henceforth, also scipy. I have run these tests w...

I'd like to write a function that normalizes the rows of a large sparse matrix (such that they sum to one). from pylab import * import scipy.sparse as sp def normalize(W): z = W.sum(0) z[z <...

This question has two parts (maybe one solution?): Sample vectors from a sparse matrix: Is there an easy way to sample vectors from a sparse matrix? When I'm trying to sample lines using random.sa...

I've got a collection of O(N) NxN scipy.sparse.csr_matrix, and each sparse matrix has on the order of N elements set. I want to add all these matrices together to get a regular NxN numpy array. (N ...

With Python/Numpy, I'm working with n-dimensional data (ideally in a ndarray) such that: (1): ragged array For example A[0, :, :], ..., A[49, :, :] can be of shape 100x100, and A[50, :, :] could b...