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A convenience library to convert between pure Python objects and their vectorized representations

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Matricize is a convenience library for machine learning practitioners that helps convert between plain Python objects and tensors/matrices.

The library is meant to be used in scenarios where a performance trade-off can be made in favour of convenience. Given below are some scenarios where Matricize could be useful:

  • Small datasets (on the order of hundreds or thousands of elements) with complex labels
  • Data sets with dynamically generated data (in Python)

Requirements

  • Python 3.6
  • numpy

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A convenience library to convert between pure Python objects and their vectorized representations

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