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pyCDP

pyCDP is a library for understanding posterior distributions for Dirichlet and heirarchical Dirichlet mixtures of normal distributions represented by truncated stick breaking.

Requirements

  • NumPy
  • SciPy
  • Cython
  • PyCUDA
  • scikits.cuda
  • gpustats
  • mpi4py

Installation and testing

Install via

python setup.py install

To test, run the scripts in the "test" subfolder.

Usage

Check out the class docstrings for more info.

About

Python library for fitting massive mixture models using DP priors and GPU computation.

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  • Python 83.0%
  • C++ 9.4%
  • Cuda 7.6%