unimib-thesis-mad
/
reCTBN
1
0
Fork 0
Code Issues 9 Pull Requests 1 Releases Activity
A new, blazing-fast learning engine for Continuous Time Bayesian Networks. Written in pure Rust. 🦀
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
93 Commits
5 Branches
0 Tags
586 KiB
 
Tag: Branch: Tree: f5756f71d3
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'f5756f71d3'
${ noResults }
AlessandroBregoli f5756f71d3
Changed the return type for ParameterLearning::fit from tuple to Param 		2 years ago
.github Workflow more compliant to the GH style 3 years ago
src Changed the return type for ParameterLearning::fit from tuple to Param 2 years ago
tests Changed the return type for ParameterLearning::fit from tuple to Param 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 Implemented matrices comparison function in chi square 3 years ago
README.md Changed the name from `rustyCTBN` to `reCTBN` (Rust Engine for Continuous Time Bayesian Networks) 3 years ago

README.md
Escape

reCTBN

Library

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

A Continuous Time Bayesian Networks Library written in Rust. 🦀

Develop

Prerequisites:

  • rust

Prepare the development environment:

cargo build

That's all! ☕️

Contribute

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

Testing & Linting

To launch tests:

cargo test

To lint:

cargo check