Python College

import numpy a = numpy.array([ [0, 1, 0, 0], [1, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, … Read more Numpy.any(axis=i) For Scipy.sparse

We have tried using tf.nn.embedding_lookup and it works. But it needs dense input data and now we n… Read more How To Use Tf.nn.embedding_lookup_sparse In Tensorflow?

I have a large sparse matrix in python, and would like to perform many elementary row operations on… Read more Fast Row Operations With Python Sparse Matrices

I have a sparse matrix of 10001 rows + 10001 columns (with many 0's), I am trying to raise the … Read more Raise The Power Of A Sparse Matrix

I have a scipy.sparse.csc_matrix with dtype = np.int32. I want to efficiently divide each column (o… Read more Normalizing Sparse.csc_matrix By Its Diagonals

I was calculating a Cosine Similarity Matrix for sparse vectors, and the elements expected to be fl… Read more Cosine Similarity Yields 'nan' Values

In scipy, when I multiply a slice of a sparse matrix with an array containing only zeros, the resul… Read more Multiply Slice Of Scipy Sparse Matrix Without Changing Sparsity

I am constructing a sparse vector using a scipy.sparse.csr_matrix like so: csr_matrix((values, (np.… Read more Cryptic Scipy "could Not Convert Integer Scalar" Error