Learn R Programming

gencve (version 0.3)

yhat_lm: Linear Predictor using Least-Squares Regression

Description

This is the default predictor used by getEPE and is provided as an example.

Usage

yhat_lm(dfTrain, dfTest)

Arguments

dfTrain
Data frame for training data. Last column must be the output variable.
dfTest
Data frame for test data. Last column must be the output variable.

Value

Examples

Run this code
Xy <- prostate
X <- prostate[,-9]
y <- prostate[,9]
n <- length(y)
d <- 10
set.seed(777513)
iTe <- sample(n, size=d)
iTr <- (1:n)[!match(1:n, iTe, nomatch = 0) > 0]
trdf <- data.frame(X[iTr,], y=y[iTr]) #X, y already defined
tedf <- data.frame(X[iTe,], y=y[iTe])
yhat_lm(trdf, tedf)

Run the code above in your browser using DataLab