Module models 

Online models: baseline regressors, linear regression, logistic regression, Naive Bayes classifiers, and FTRL-Proximal for sparse features.

Re-exports

pub use baseline::BaselineConfig;

pub use baseline::ExponentiallyWeightedMeanRegressor;

pub use baseline::LastValueRegressor;

pub use baseline::MeanRegressor;

pub use ftrl::FtrlClassifier;

pub use ftrl::FtrlConfig;

pub use ftrl::FtrlRegressor;

pub use linear_regression::LinearRegression;

pub use linear_regression::LinearRegressionConfig;

pub use logistic_regression::LogisticRegression;

pub use logistic_regression::LogisticRegressionConfig;

pub use naive_bayes::BernoulliNaiveBayes;

pub use naive_bayes::GaussianNaiveBayes;

pub use naive_bayes::MultinomialNaiveBayes;

pub use naive_bayes::NaiveBayesConfig;

Modules

baseline

Baseline regressors.

ftrl

FTRL-Proximal online learning for sparse features.

linear_regression

Online linear regression using SGD or AdaGrad.

logistic_regression

Online logistic regression for binary classification.

naive_bayes

Online Naive Bayes classifiers.