rustyml 0.13.0

A high-performance machine learning & deep learning library in pure Rust, offering ML algorithms and neural network support
Documentation 
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//! Prelude re-exports for the `utils` module: preprocessing, decomposition, and dataset splitting

pub use crate::utils::kernel_pca::{EigenSolver, KernelPCA, KernelType};
pub use crate::utils::label_encoding::{
    to_categorical, to_categorical_with_mapping, to_sparse_categorical,
};
pub use crate::utils::normalize::normalize;
pub use crate::utils::pca::{PCA, SVDSolver};
pub use crate::utils::standardize::standardize;
pub use crate::utils::t_sne::{Init, TSNE, TSNEMethod};
pub use crate::utils::train_test_split::{train_test_split, train_test_split_stratified};