Module prelude 

Convenience re-exports for common usage.

Usage

use aprender::prelude::*;

Re-exports

pub use crate::bayesian::BetaBinomial;

pub use crate::bayesian::DirichletMultinomial;

pub use crate::bayesian::GammaPoisson;

pub use crate::bayesian::NormalInverseGamma;

pub use crate::classification::LogisticRegression;

pub use crate::cluster::Affinity;

pub use crate::cluster::AgglomerativeClustering;

pub use crate::cluster::CovarianceType;

pub use crate::cluster::GaussianMixture;

pub use crate::cluster::IsolationForest;

pub use crate::cluster::KMeans;

pub use crate::cluster::Linkage;

pub use crate::cluster::LocalOutlierFactor;

pub use crate::cluster::SpectralClustering;

pub use crate::cluster::DBSCAN;

pub use crate::data::DataFrame;

pub use crate::linear_model::ElasticNet;

pub use crate::linear_model::Lasso;

pub use crate::linear_model::LinearRegression;

pub use crate::linear_model::Ridge;

pub use crate::loss::huber_loss;

pub use crate::loss::mae_loss;

pub use crate::loss::mse_loss;

pub use crate::loss::HuberLoss;

pub use crate::loss::Loss;

pub use crate::loss::MAELoss;

pub use crate::loss::MSELoss;

pub use crate::metrics::inertia;

pub use crate::metrics::mae;

pub use crate::metrics::mse;

pub use crate::metrics::r_squared;

pub use crate::metrics::rmse;

pub use crate::metrics::silhouette_score;

pub use crate::mining::Apriori;

pub use crate::optim::Adam;

pub use crate::optim::Optimizer;

pub use crate::optim::SGD;

pub use crate::preprocessing::MinMaxScaler;

pub use crate::preprocessing::StandardScaler;

pub use crate::preprocessing::TSNE;

pub use crate::primitives::Matrix;

pub use crate::primitives::Vector;

pub use crate::traits::Estimator;

pub use crate::traits::Transformer;

pub use crate::traits::UnsupervisedEstimator;

pub use crate::tree::DecisionTreeClassifier;

pub use crate::tree::DecisionTreeRegressor;

pub use crate::tree::RandomForestRegressor;

pub use crate::model_selection::grid_search_alpha;

pub use crate::model_selection::GridSearchResult;

pub use crate::model_selection::StratifiedKFold;