Package: pxpy
Copyright (c) 2021 Nico PiatkowskipxpyThe 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.InferenceLoopy belief propagationJunction treeStochastic Clenshaw-Curtis quadratureSamplingGibbs SamplingPerturb+Map SamplingParameter learningAccelerated proximal gradientbuilt-in L1 / L2 regularizationSupport for custom regularizationStructure learningChow-Liu treesSoft-thresoldingHigh-order clique structuresMiscSupport 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 graphvizDiscretization<https://randomfields.org>—Alpha Changelog1.0a71: Improved: ONNX and QUBO export1.0a70: Added: QUBO export1.0a69: Added: ONNX PAM export1.0a68: Improved: Data type selection, ONNX export1.0a67: Improved: Integer MRF; ONNX export1.0a66: Improved: Data type selection, various minor fixes. Added: Integer model file io.1.0a65: Improved: Manual model construction1.0a64: Improved: GPU code. Added: ONNX export1.0a63: Added: Experimental annealed rejection sampler for structure sampling1.0a62: Improved: Model loading1.0a61: Improved: Setting target for “star” structure; reduced python version to 3.61.0a60: Improved: Numerical stability of discretization1.0a55: Added: Load/store of discretization models; aarch64 support (tested on Jetson TX1)1.0a54: Improved: Init speed1.0a53: Improved: Init speed1.0a52: Improved: Graph splitting; init speed1.0a51: Fixed: Multi-core normalization; Split-edge weight centering1.0a50: Improved: Support for external inference engines; Changed required GLIBC version to 2.291.0a49: Fixed: External loader1.0a48: Added: Shell script “pxpy_environ” for populating various environment variables. Improved: multi-core support.1.0a47: Added: draw_neighbors(..). Improved: Discretization1.0a44: Improved: Discretization1.0a42: Improved: Updated some default values1.0a41: Improved: Fixed subtle bug in parameter initialization1.0a40: Added: Loading string data via genfromstrcsv(..) (built-in string<->int mapper)1.0a36: Improved: Randomized clique search1.0a29: Added: Randomized clique search1.0a28: Improved: Handling NaN-values during discretization (now interpreted as missing)1.0a27: Improved: Accelerated structure estimation1.0a26: Improved: Progress computation. Added: Online entropy computation for large cliques1.0a25: Improved: Memory management1.0a24: Improved: Structure estimation, backend. Added: Third-order structure estimation; simple graphviz output1.0a23: Improved: Structure estimation1.0a22: 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 engine1.0a20: Added: Support for external inference engine (access via env PX_EXTINF)1.0a19: Improved: Manual model creation1.0a18: Added: Debug mode (linux only, enable via env PX_DEBUGMODE)1.0a17: Improved: API, tests, regularization. Added: AIC and BIC computation1.0a16: Improved: Memory management, access to optimizer state in optimization hooks. Added: Support for training resumption1.0a15: Improved: API1.0a14: Improved: Memory management1.0a13: Improved: Memory management (fixed leak in conditional sampling/marginals)1.0a12: Improved: Access to vertex and pairwise marginals1.0a11: Added: Access to single variable marginals1.0a10: Improved: Library build process1.0a9:  Added: Conditional sampling1.0a8:  Imroved: Maximum-a-posteriori (MAP) estimation. Added: Custom graph construction1.0a7:  Added: Conditional marginal inference, support for Ising/minimal statistics1.0a6:  Added: Manual model creation, support for training data with missing values (represented by pxpy.MISSING_VALUE)1.0a5:  Improved: Model management1.0a4:  Added: Model access in regularization and proximal hooks1.0a3:  Improved: GLIBC requirement, removed libgomp dependency1.0a2:  Added: Python 3.5 compatibility1.0a1:  Initial release