pxpy 1.0a22

discrete pairwise undirected graphical models

Copyright (c) 2020 Nico Piatkowski

pxpy

The python library for discrete pairwise undirected graphical models.

<https://randomfields.org>

Changelog

• 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