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Graphical model analysis toolbox.

Project description

PGM

Build Status Documentation Status PyPI version License: MIT

Probabilistic graphs: Representation, Learning, and Inference

Features

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

Installation

pip install ppgm

Contact

Project details


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Files for ppgm, version 0.0.4
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