rustyml 0.17.0

Machine learning models, neural networks, metrics, and data utilities in Rust
Documentation 
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//! Manifold-learning estimators for nonlinear dimensionality reduction
//!
//! [`TSNE`] implements t-distributed Stochastic Neighbor Embedding (t-SNE) for visualizing
//! high-dimensional data. Unlike the [`decomposition`] estimators, t-SNE learns no out-of-sample
//! projection. It only embeds the data it is given. It implements [`FitTransform`] but not
//! [`Transform`].
//!
//! [`decomposition`]: crate::machine_learning::decomposition
//! [`FitTransform`]: crate::traits::FitTransform
//! [`Transform`]: crate::traits::Transform

/// t-SNE algorithm for dimensionality reduction
pub mod t_sne;

pub use t_sne::{Init, TSNE, TSNEMethod};