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discrete undirected probabilistic models

Project description

Copyright (c) 2019 Nico Piatkowski

pxpy

The python library for discrete pairwise undirected graphical models.

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Changelog

  • 1.0a14: Improved memory management

  • 1.0a13: Fixed memory leak with observed data

  • 1.0a12: Simplified access to vertex and pairwise marginals

  • 1.0a11: Added single variable marginals

  • 1.0a10: Optimized library build

  • 1.0a9: Enabled sampling with observations; Fixed parameter name in marginal inference

  • 1.0a8: Fixed maximum a posteriori estimation; Added custom graph construction

  • 1.0a7: Multiple minor fixes; enabled marginal inference with observations; enabled minimal statistics

  • 1.0a6: Added manual model creation; enabled training data with missing values

  • 1.0a5: Fixed model management

  • 1.0a4: Added model access in regularization and proximal hooks

  • 1.0a3: Lower GLIBC requirement + removed libgomp dependency (linux)

  • 1.0a2: Python 3.5 compatibility

  • 1.0a1: Initial release

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