treeboost 0.1.0

High-performance Gradient Boosted Decision Tree engine for large-scale tabular data
Documentation 
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// Re-exports for ergonomic imports.
pub use crate::analysis::{AnalysisConfig, AnalysisPreset};
pub use crate::backend::{BackendConfig, BackendPreset};
pub use crate::booster::{GBDTConfig, GbdtPreset};
pub use crate::features::{FeatureGenerationConfig, SmartFeatureConfig, SmartFeaturePreset};
pub use crate::learner::{LinearConfig, LinearPreset, TreeConfig, TreePreset};
pub use crate::model::{
    AutoEnsembleConfig, AutoEnsembleMethod, TreeTunerConfig, TreeTunerPreset, UniversalConfig,
    UniversalPreset,
};
pub use crate::preprocessing::{SmartPreprocessConfig, SmartPreprocessPreset};
pub use crate::tuner::ltt::{
    LinearHyperparamsPreset, LttTunerConfig, LttTunerPreset, TreeHyperparamsPreset,
};
pub use crate::tuner::{SpacePreset, TunerConfig, TunerPreset};