Module composing 

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

platt_scaling

Implement Platt calibration with Newton method

Structs

MultiClassModel

Merge models with binary to multi-class classification

MultiTargetModel

Merge models with single target to multi-target models