rustyml 0.14.0

A high-performance machine learning & deep learning library in pure Rust, offering ML algorithms and neural network support
Documentation 
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//! Prelude re-exports for the machine learning estimators, traits, and shared enums

pub use crate::machine_learning::{DistanceCalculationMetric, RegularizationType};
pub use crate::traits::{Fit, FitTransform, Predict, Transform};

pub use crate::machine_learning::KernelType;
pub use crate::machine_learning::clustering::{DBSCAN, KMeans, MeanShift, estimate_bandwidth};
pub use crate::machine_learning::decomposition::{EigenSolver, KernelPCA, PCA, SVDSolver};
pub use crate::machine_learning::discriminant_analysis::{DiscriminantSolver, LDA, Shrinkage};
pub use crate::machine_learning::ensemble::{Contamination, IsolationForest};
pub use crate::machine_learning::linear_model::{
    LeastSquaresSolver, LinearRegression, LogisticRegression, generate_polynomial_features,
};
pub use crate::machine_learning::manifold::{Init, TSNE, TSNEMethod};
pub use crate::machine_learning::neighbors::{KNN, WeightingStrategy};
pub use crate::machine_learning::svm::{LinearSVC, SVC};
pub use crate::machine_learning::tree::{Algorithm, DecisionTree, DecisionTreeParams};