datarust 0.7.0

Scikit-learn-style preprocessing and classical ML in Rust
Documentation 
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//! Model-selection utilities mirroring `sklearn.model_selection`.
//!
//! Provides train/test splitting, K-fold cross-validation splitters, and a
//! generic [`cross_val_score`] that works with any [`Predictor`](crate::traits::Predictor)
//! + `Clone` estimator. A shared PRNG lives in [`crate::rng`] (re-exported
//! here as [`rng`](crate::model_selection::rng) for backwards compatibility).

/// Cross-validation scoring driver.
pub mod cross_val;
/// K-fold and stratified K-fold splitters.
pub mod kfold;
/// Shared deterministic PRNG (xorshift64). Re-export of [`crate::rng`].
pub mod rng;
/// Train/test split.
pub mod split;

pub use cross_val::cross_val_score;
pub use kfold::{KFold, StratifiedKFold};
pub use split::{train_test_split, TrainTestSplit};