- UPDATED: Finish CLI Flags
- Parallelize conputationally intensive functions
- Class-based naive bayes
- README
- Image parsing
- Confusion matrix saving
- Port model code to separate module
- examples of custom models -> use STAT200 datasets for classification
- remove panics and port to custom error codes
- make test return confusion matrix and accuracy
nkaush/naive-bayes-rs
A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.
RustMIT