A new, blazing-fast learning engine for Continuous Time Bayesian Networks. Written in pure Rust. 🦀

AlessandroBregoli 21ce0ffcb0 Added doc to: params, process, parameter_learning, ctmp, ctbn		2 years ago
.github	Added docs generation in GitHub Workflows	2 years ago
reCTBN	Added doc to: params, process, parameter_learning, ctmp, ctbn	2 years ago
.gitignore	Added `.vscode` folder to `.gitignore`	3 years ago
CONTRIBUTING.md	Added notes regarding templates in CONRIBUTING.md	3 years ago
Cargo.toml	cargo workspace	2 years ago
README.md	Fixed small lint problem and added a paragraph to the README	2 years ago
rust-toolchain.toml	Added `rust-toolchain.toml`	2 years ago
rustfmt.toml	Conformed all rank-3 tensors to the same notation and now `rustfmt` ignores `tests/`	2 years ago

reCTBN

Library

Note: At the moment it's in pre-alpha state.

A Continuous Time Bayesian Networks Library written in Rust. 🦀

Prerequisites:

Prepare the development environment:

cargo build

That's all! ☕️

See CONTRIBUTING.md to know how to report bugs, propose features, merge requests or other forms of contribution! 😎🚀

To launch tests:

cargo test

To lint with cargo check:

cargo check --all-targets

Or with clippy:

cargo clippy --all-targets -- -A clippy::all -W clippy::correctness

To check the formatting:

NOTE: remove --check to apply the changes to the file(s).

cargo fmt --all -- --check

To generate the documentation:

cargo rustdoc --package reCTBN --open -- --default-theme=ayu