dataframe-learn-2.4.1.0: Interpretable, expression-returning machine learning for the dataframe ecosystem.
Safe HaskellNone
LanguageHaskell2010

DataFrame.Boosting.AdaBoost

Description

AdaBoost (SAMME) over short, sample-weighted classification trees. The weighted-Gini stump fitter here is self-contained (it reuses the CART feature encoding but not the unweighted CART recursion), so the existing decision-tree path is untouched. predict is the arg-max of weighted votes.

Synopsis

Documentation

data AdaBoostModel a Source #

A fitted SAMME model: per-stage weights and stumps over the class set.

Constructors

AdaBoostModel 

Fields

Instances

Instances details
Show a => Show (AdaBoostModel a) Source # 
Instance details

Defined in DataFrame.Boosting.AdaBoost

(Columnable a, Ord a) => Predict (AdaBoostModel a) Source # 
Instance details

Defined in DataFrame.Boosting.AdaBoost

Associated Types

type Prediction (AdaBoostModel a) 
Instance details

Defined in DataFrame.Boosting.AdaBoost

type Prediction (AdaBoostModel a) Source # 
Instance details

Defined in DataFrame.Boosting.AdaBoost