predict.LBoost: Prediction of Response Using LBoost

In LogicForest: Logic Forest

Description

Computes predicted values for newdata for as LBoost model fitted using LBoost.

Usage

## S3 method for class 'LBoost'
predict(object, newdata, ...)

Arguments

object	an object of class LBoost.
newdata	a matrix or data frame containing new predictor values. If not given, predictions will be made for the original data used to construct the model.
...	not currently used.

Value

If new data are given, predict returns an object of class "LBoost.prediction", that includes a list of elements

prediction	a numeric vector of predicted responses.
weighted.prop	a numeric vector of the weighted proportion of trees in the forest that predict a class value of one.

If no new data are given, the function returns the LBoost model prediction for the original data.

Author(s)

Bethany Wolf [e-mail]

See Also

LBoost

Examples

data(LF.data, LF.testdata, LBoost.fit)


#NOTE- this is the LBoost model prediction for the original data
predict(object=LBoost.fit)

#predicting classes for new test data
predict(object=LBoost.fit, newdata=LF.testdata[,1:50])

LogicForest documentation built on May 30, 2017, 3:07 a.m.