This project forked from m-nauta/lift
Learning Fault Trees from Observational Data
License: MIT License
Learning Fault Trees from Observational Data
Paper: https://link.springer.com/chapter/10.1007/978-3-319-99154-2_19
Files generateFT.py and generateFTsofsize.py can generate all fault trees based on a fixed number of events. In our paper, this size is 8. File LIFT.py contains the code to learn a fault tree based on a statistical test (PAMH). File plotvariables.py tests LIFT with noisy data or superfluous variables, as described in the paper.
Python version: 3.5
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
