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Pre-release

This release is a pre-release and may not be stable for production use.

Copyright (c) 2020 Nico Piatkowski

pxpy

The python library for discrete pairwise undirected graphical models.

<https://randomfields.org>

Changelog

  • 1.0a23: Improved: Structure estimation

  • 1.0a22: Improved: Discretization engine, support for external inference engine. Added: default to 32bit computation (disable via env PX_USE64BIT)

  • 1.0a21: Improved: Support for external inference engine

  • 1.0a20: Added: Support for external inference engine (access via env PX_EXTINF)

  • 1.0a19: Improved: Manual model creation

  • 1.0a18: Added: Debug mode (linux only, enable via env PX_DEBUGMODE)

  • 1.0a17: Improved: API, tests, regularization. Added: AIC and BIC computation

  • 1.0a16: Improved: Memory management, access to optimizer state in optimization hooks. Added: Support for training resumption

  • 1.0a15: Improved: API

  • 1.0a14: Improved: Memory management

  • 1.0a13: Improved: Memory management (fixed leak in conditional sampling/marginals)

  • 1.0a12: Improved: Access to vertex and pairwise marginals

  • 1.0a11: Added: Access to single variable marginals

  • 1.0a10: Improved: Library build process

  • 1.0a9: Added: Conditional sampling

  • 1.0a8: Imroved: Maximum-a-posteriori (MAP) estimation. Added: Custom graph construction

  • 1.0a7: Added: Conditional marginal inference, support for Ising/minimal statistics

  • 1.0a6: Added: Manual model creation, support for training data with missing values (represented by pxpy.MISSING_VALUE)

  • 1.0a5: Improved: Model management

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

  • 1.0a3: Improved: GLIBC requirement, removed libgomp dependency

  • 1.0a2: Added: Python 3.5 compatibility

  • 1.0a1: Initial release

Metadata

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