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Python Environment for Bayesian Learning

Project description

Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features:

  • Can learn with observational and interventional data

  • Handles missing values and hidden variables using exact and heuristic methods

  • Provides several learning algorithms; makes creating new ones simple

  • Supports hard and soft structural priors

  • Has facilities for transparent parallel execution

  • Calculates edge marginals and consensus networks

  • Presents results in a variety of formats

Project details

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