rustyml 0.17.0

Machine learning models, neural networks, metrics, and data utilities in Rust
Documentation 
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//! Preprocessing functions, stateful scalers, and dataset split functions.
//!
//! The exports also include the shared estimator traits and axis or norm selectors.

pub use crate::traits::{Fit, FitTransform, Predict, Transform};
pub use crate::utils::label_encoding::{
    to_categorical, to_categorical_with_mapping, to_sparse_categorical,
};
pub use crate::utils::normalize::{NormalizationAxis, NormalizationOrder, normalize};
pub use crate::utils::scaler::{
    MaxAbsScaler, MinMaxScaler, Normalizer, RobustScaler, StandardScaler,
};
pub use crate::utils::standardize::{StandardizationAxis, standardize};
pub use crate::utils::train_test_split::{train_test_split, train_test_split_stratified};