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

Full-scale tutorial examples
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Full-scale tutorial examples

In this section full-scale GitHub Gist tutorials for BAMT use cases are listed, feel free to leave your comments and questions at the following gists:

BAMT house price dataset prediction results improvement with sampling.
BAMT house price dataset linear regression with BAMT.

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