Expand description

Composition models

This module contains three composition models:

  • MultiClassModel: combine multiple binary decision models to a single multi-class model
  • MultiTargetModel: combine multiple univariate models to a single multi-target model
  • Platt: calibrate a classifier (i.e. SVC) to predicted posterior probabilities

Re-exports

pub use platt_scaling::Platt;
pub use platt_scaling::PlattError;
pub use platt_scaling::PlattParams;

Modules

Implement Platt calibration with Newton method

Structs

Merge models with binary to multi-class classification

Merge models with single target to multi-target models