项目作者: koriavinash1

项目描述 :
Graph: Representation, Learning, and Inference Methods
高级语言: Python
项目地址: git://github.com/koriavinash1/pgm.git
创建时间: 2020-02-25T03:56:24Z
项目社区:https://github.com/koriavinash1/pgm

开源协议:MIT License

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PGM

Build Status
Documentation Status
PyPI version
License: MIT

Probabilistic graphs: Representation, Learning, and Inference

Features

  • Representation
    • Bayesian Network Representation
    • Linked List BN Representation
    • Linked List MN Representation
    • Conditional Estimation
    • Marginal Estimation
    • Joint Estimation
  • Inference
    • Metropolis-Hastings algorithm
    • Gibbs Sampling on 2d grid
    • Generalized Gibbs Sampling
    • Message Parsing and BP
    • Loopy BP
    • VE
    • Causal Interventions
  • search methods
    • DFS
    • BFS
  • Additional
    • Finding Active Trails
    • Max clique size and clique node
    • Calculate tree-width
  • Learning
  • Miscellaneous
    • Random BN and MN generation

Installation

  1. pip install ppgm

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