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discrete undirected probabilistic models

Project description

Copyright (c) 2019 Nico Piatkowski


The python library for discrete pairwise undirected graphical models.



  • 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

Project details

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