Skip to main content
Pre-release

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

Copyright (c) 2021 Nico Piatkowski

pxpy

The python library for discrete pairwise undirected graphical models. Runs on Linux with GLIBC >= 2.28 and Windows 10. Exported ONNX models run on any architecture that has an ONNX runtime with opset 13.

Inference

  • Loopy belief propagation

  • Junction tree

  • Stochastic Clenshaw-Curtis quadrature

Sampling

  • Gibbs Sampling

  • Perturb+Map Sampling

Parameter learning

  • Accelerated proximal gradient

  • built-in L1 / L2 regularization

  • Support for custom regularization

Structure learning

  • Chow-Liu trees

  • Soft-thresolding

  • High-order clique structures

Misc

  • Support for deep Boltzmann tree models (DBT)

  • Support for spatio-temporal compressible reparametrization (STRF)

  • Runs on x86_64 (linux, windows) and aarch64 (linux)

  • Graph drawing via graphviz

  • Discretization

<https://randomfields.org>

Alpha Changelog

  • 1.0a71: Improved: ONNX and QUBO export

  • 1.0a70: Added: QUBO export

  • 1.0a69: Added: ONNX PAM export

  • 1.0a68: Improved: Data type selection, ONNX export

  • 1.0a67: Improved: Integer MRF; ONNX export

  • 1.0a66: Improved: Data type selection, various minor fixes. Added: Integer model file io.

  • 1.0a65: Improved: Manual model construction

  • 1.0a64: Improved: GPU code. Added: ONNX export

  • 1.0a63: Added: Experimental annealed rejection sampler for structure sampling

  • 1.0a62: Improved: Model loading

  • 1.0a61: Improved: Setting target for “star” structure; reduced python version to 3.6

  • 1.0a60: Improved: Numerical stability of discretization

  • 1.0a55: Added: Load/store of discretization models; aarch64 support (tested on Jetson TX1)

  • 1.0a54: Improved: Init speed

  • 1.0a53: Improved: Init speed

  • 1.0a52: Improved: Graph splitting; init speed

  • 1.0a51: Fixed: Multi-core normalization; Split-edge weight centering

  • 1.0a50: Improved: Support for external inference engines; Changed required GLIBC version to 2.29

  • 1.0a49: Fixed: External loader

  • 1.0a48: Added: Shell script “pxpy_environ” for populating various environment variables. Improved: multi-core support.

  • 1.0a47: Added: draw_neighbors(..). Improved: Discretization

  • 1.0a44: Improved: Discretization

  • 1.0a42: Improved: Updated some default values

  • 1.0a41: Improved: Fixed subtle bug in parameter initialization

  • 1.0a40: Added: Loading string data via genfromstrcsv(..) (built-in string<->int mapper)

  • 1.0a36: Improved: Randomized clique search

  • 1.0a29: Added: Randomized clique search

  • 1.0a28: Improved: Handling NaN-values during discretization (now interpreted as missing)

  • 1.0a27: Improved: Accelerated structure estimation

  • 1.0a26: Improved: Progress computation. Added: Online entropy computation for large cliques

  • 1.0a25: Improved: Memory management

  • 1.0a24: Improved: Structure estimation, backend. Added: Third-order structure estimation; simple graphviz output

  • 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

Release files for pxpy 1.0a71

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pxpy 1.0a71
File Size Uploaded
pxpy-1.0a71.tar.gz 18.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pxpy 1.0a71
File Interpreter ABI Platform
pxpy-1.0a71-py3-none-any.whl Python 3 none any Details

Total release size:37.0 MB

Release files / pxpy-1.0a71.tar.gz

Download URL pxpy-1.0a71.tar.gz
Size 18.4 MB
Tags Source
SHA-256 checksum
How to use checksums
55d3041ab78e144a20df2b4195a89bb9b4450e33b423080e7a8e88b0de9870c7
BLAKE2b-256 checksum
How to use checksums
4948107c477ae1b7927f9207f46ec27e67a582b2b112586453d1998e7a6cd22b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.6.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.9

Release files / pxpy-1.0a71-py3-none-any.whl

Download URL pxpy-1.0a71-py3-none-any.whl
Size 18.6 MB
Tags Python 3
SHA-256 checksum
How to use checksums
dc9f64e84910861964822c816a5f52bac9fc54f66f4d0e4e74705545fc26ca91
BLAKE2b-256 checksum
How to use checksums
450eac16c3a1c6ab7d1438a31eed358bd92f3be231a60ceb78d5f364c2b35710
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.6.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.9

Release history Release notifications | RSS feed

This release

1.0a71 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page