irithyll 10.0.1

Streaming ML in Rust -- gradient boosted trees, neural architectures (TTT/KAN/MoE/Mamba/SNN), AutoML, kernel methods, and composable pipelines
Documentation 
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//! Histogram binning and accumulation for streaming tree construction.
//!
//! Core implementation lives in `irithyll-core` and is re-exported here.

pub use irithyll_core::histogram::*;

// Re-export sub-modules for path compatibility
pub use irithyll_core::histogram::bins;
pub use irithyll_core::histogram::categorical;
pub use irithyll_core::histogram::quantile;
pub use irithyll_core::histogram::uniform;

#[cfg(feature = "simd")]
#[cfg_attr(docsrs, doc(cfg(feature = "simd")))]
pub use irithyll_core::histogram::simd;

#[cfg(feature = "kmeans-binning")]
#[cfg_attr(docsrs, doc(cfg(feature = "kmeans-binning")))]
pub use irithyll_core::histogram::kmeans;