Crate anofox_ml_linear 

SGD-based linear models.

Provides SgdClassifier and SgdRegressor — linear models trained with stochastic gradient descent. These scale well to large datasets and support multiple loss functions and regularization options.

Re-exports

pub use passive_aggressive::FittedPassiveAggressiveClassifier;

pub use passive_aggressive::FittedPassiveAggressiveRegressor;

pub use passive_aggressive::PaVariant;

pub use passive_aggressive::PassiveAggressiveClassifier;

pub use passive_aggressive::PassiveAggressiveRegressor;

pub use sgd_classifier::ClassifierLoss;

pub use sgd_classifier::FittedSgdClassifier;

pub use sgd_classifier::SgdClassifier;

pub use sgd_common::LearningRate;

pub use sgd_common::Penalty as SgdPenalty;

pub use sgd_regressor::FittedSgdRegressor;

pub use sgd_regressor::RegressorLoss;

pub use sgd_regressor::SgdRegressor;

Modules

passive_aggressive

Passive-Aggressive online learners (Crammer et al. 2006).

sgd_classifier

SGD-based linear classifier.

sgd_common

Common types and utilities for SGD-based linear models.

sgd_regressor

SGD-based linear regressor.