fun: Functions to be used internally

In rbooster: AdaBoost Framework for Any Classifier

Description

for internal use

Usage

classifier_rpart(x_train, y_train, weights, ...)

predictor_rpart(model, x_new, type = "pred", ...)

classifier_glm(x_train, y_train, weights, ...)

predictor_glm(model, x_new, type = "pred", ...)

classifier_gnb(x_train, y_train, weights, ...)

predictor_gnb(model, x_new, type = "pred", ...)

classifier_dnb(x_train, y_train, weights, ...)

predictor_dnb(model, x_new, type = "pred", ...)

classifier_earth(x_train, y_train, weights, ...)

predictor_earth(model, x_new, type = "pred", ...)

Arguments

x_train	input features.
y_train	factor class variable.
weights	instance weights.
...	other control parameters.
model	model obtained from respective classifier.
x_new	new features for prediction.

Value

Classifiers produce an object which is appropriate for respective predictor. Predictors returns class predictions for x_new.

rbooster documentation built on Oct. 27, 2021, 5:09 p.m.