discrete undirected probabilistic models
Project description
Copyright (c) 2019 Nico Piatkowski
pxpy
The python library for discrete pairwise undirected graphical models.
Changelog
1.0a17: Simplified backend; added tests; fixed regularization bug; added AIC/BIC
1.0a16: Fixed memory leak; enabled training resumption; improved optimization hooks
1.0a15: Improved API
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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