rustyml 0.11.0

A high-performance machine learning & deep learning library in pure Rust, offering ML algorithms and neural network support
Documentation 
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pub use KernelType;

/// This module implements Kernel Principal Component Analysis.
pub mod kernel_pca;
/// This module provides functions for converting between different label formats
pub mod label_encoding;
/// This module provides an implementation of Linear Discriminant Analysis.
pub mod linear_discriminant_analysis;
/// This module provides a method to Normalize data along specified axis using the given norm order
pub mod normalize;
/// This module provides an implementation of Principal Component Analysis (PCA)
pub mod principal_component_analysis;
/// This module provides a method to standardizes data to have zero mean and unit variance
pub mod standardize;
/// This module provides an implementation of the t-SNE algorithm for dimensionality reduction.
pub mod t_sne;
/// This module provides functionality for splitting datasets into training and test sets
pub mod train_test_split;

pub use kernel_pca::*;
pub use linear_discriminant_analysis::*;
pub use normalize::*;
pub use principal_component_analysis::*;
pub use standardize::*;
pub use t_sne::*;
pub use train_test_split::*;