miniboosts 0.2.1

MiniBoosts: A collection of boosting algorithms written in Rust 🦀
Documentation 
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//! The files in `weak_learner/` directory defines
//! `WeakLearner` trait and weak learners.

/// Provides WeakLearner trait.
pub mod core;

// /// Union of Weak learners.
// pub mod union;

pub(crate) mod common;

/// Defines Decision Tree.
pub mod decision_tree;


/// Defines Regression Tree.
pub mod regression_tree;

/// Defines Neural network.
pub mod neural_network;


// /// Defines Naive Bayes.
// pub mod naive_bayes;

pub use self::core::WeakLearner;

pub use self::decision_tree::{
    Criterion,
    DTree,
    DTreeClassifier,
};

// pub use self::naive_bayes::{
//     GaussianNB,
//     NBayesClassifier,
// };


pub use self::regression_tree::{
    LossType,
    RTree,
    RTreeRegressor,
};


pub use self::neural_network::{
    NeuralNetwork,
    NNHypothesis,
    Activation,
    NNLoss,
};


// pub use self::union::WLUnion;

pub(crate) use common::type_and_struct;