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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 am computing the solution of a linear system Ax=b with A a large (typically 200,000 lines and col… Read more Scipy.sparse.linalg.spsolve Surprising Behaviour For Large Sparse Matrices On Linux Systems

I have a purchase data (df_temp). I managed to replace using Pandas Dataframe to using a sparse csr… Read more Using Csr_matrix Of Items Similarities To Get Most Similar Items To Item X Without Having To Transform Csr_matrix To Dense Matrix

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

I'm trying to use mpi4py to assemble a very large sparse matrix in parallel. Each rank produces… Read more Parallel Assembly Of A Sparse Matrix In Python