Assume IAM roles with this Rust-based command line utility
A scikit-learn equivalent for Rust — re-export crate
Bayesian methods for the ferrolearn ML framework — naive Bayes classifiers and conjugate priors
Clustering algorithms for the ferrolearn ML framework
Core traits, error types, and pipeline for the ferrolearn ML framework
Covariance estimation for the ferrolearn ML framework
Built-in datasets and synthetic data generators for the ferrolearn ML framework
Dimensionality reduction and decomposition for the ferrolearn ML framework
Network fetchers + on-disk cache for sklearn-style datasets (California housing, OpenML, 20newsgroups, etc.)
Serialization and I/O utilities for the ferrolearn ML framework
Kernel methods for the ferrolearn ML framework: Nadaraya-Watson and local polynomial regression, Gaussian processes (regression and Laplace-approximation classification), kernel ridge, Nyström approximation, and RBF random Fourier features
Linear models for the ferrolearn ML framework