multidimensional sparse arrays for Python


This package implements sparse multidimensional arrays on top of NumPy and scipy.sparse. It generalizes the scipy.sparse.coo_matrix layout but extends beyond just rows and columns to an arbitrary number of dimensions. The original motivation is for machine learning algorithms, but it is intended for somewhat general use.

It supports:

  - NumPy ufuncs (where zeros are preserved)
  - Arithmetic with scalars (where zeros are preserved)
  - Reductions (sum, max)
  - Reshape
  - Transpose
  - Tensordot
  - Slicing with integers, lists, and slices (with no step value)
  - Concatenation and stacking
  - Addition with other sparse arrays of the same shape

This package provides the modules for Python 3.

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