Results for kfold

Lightweight regression library (OLS, Ridge, Lasso, Elastic Net, WLS, LOESS, Polynomial) with 14 diagnostic tests, cross validation, and prediction intervals. Pure Rust - no external math dependencies. WASM, Python, FFI, and Excel XLL bindings.

High-performance LOWESS (Locally Weighted Scatterplot Smoothing)

LOWESS (Locally Weighted Scatterplot Smoothing)

Model selection utilities for the ferrolearn ML framework

Training loops, loss composition, and optimization schedules for TensorLogic

High-level, parallel LOESS (Locally Estimated Scatterplot Smoothing) implementation in Rust

Neural Networks framework with model building & data preprocessing features.

LOESS (Locally Estimated Scatterplot Smoothing) implementation in Rust

Scivex — Classical machine learning: trees, ensembles, clustering, pipelines

Python bindings for sklears machine learning library using PyO3

Seamless scaffolding

Create K-fold splits from data files and assist in training and testing (useful for cross-validation in supervised machine learning)