BAMT

Getting Started

  • Welcome to BAMT’s documentation!
  • Installation
  • How to contribute
  • FAQ
  • Cite us

API

  • Builders
  • Entropy and Mutual Information
  • Networks Module
  • Nodes module
  • Preprocess module
  • Preprocessing utilities
  • Hill Climbing Algorithm
  • Scores redefiner
  • Utilities

Models

  • Bayesian Networks
  • Discrete Bayesian Networks
  • Continuous Bayesian Networks
  • Composite Bayesian Networks
  • Hybrid Bayesian Networks
  • Sampling and Prediction with Bayesian Networks
  • Algorithms for Large Bayesian Networks

BN Theory

  • Bayesian Networks Learning Algorithms
  • Algorithms for Large Bayesian Networks learning

Data

  • Data Management

Examples, workflow pipelines

  • Learn and Save Bayesian Network
  • Learn and Visualize Bayesian Network
  • Read BN Structure from a File, Learn Distribution Parameters
  • Read Structure and Distribution Parameters from a File
  • Sampling and Predicting
  • Adding Machine Learning models to Bayesian Network nodes
  • Learning CompositeBN and sampling from it

Tutorials

  • Full-scale tutorial examples
BAMT
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