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From the documentation of sklearn RandomizedPCA, sparse matrices are accepted as input. However whe… Read more Scikit-learn (sklearn) Pca Throws Type Error On Sparse Matrix

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

This task is pretty trivial in NumPy like so import numpy as np a= np.array([[1,2,3,0,9],[3,2,6,2,… Read more How To Add A Sparse Row To A Sparse Matrix In Python?

I have a very large absorbing Markov chain (scales to problem size -- from 10 states to millions) t… Read more Best Way To Calculate The Fundamental Matrix Of An Absorbing Markov Chain?

I getting unpleasant behavior when I set values in .data of csr_matrix to zero. Here is an example:… Read more Setting Elements In .data Attribute To Zero Unpleasant Behaivor In Scipy.sparse

A Gram matrix is a matrix of the structure X @ X.T which of course is symmetrical. When dealing wit… Read more What Is The Fastest Way To Compute A Sparse Gram Matrix In Python?

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

scipy.sparse.coo_matrix.max returns the maximum value of each row or column, given an axis. I would… Read more Argmax Of Each Row Or Column In Scipy Sparse Matrix