Created
March 25, 2017 10:27
-
-
Save selva86/972bb3c4f0ed9c24370a15ad68a85795 to your computer and use it in GitHub Desktop.
Preparatory code for lasso regression lecture
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# prep training and test datasets | |
set.seed(100) | |
trainRows <- createDataPartition(prostate$lpsa, p=.75, list=FALSE) | |
trainData <- prostate[trainRows, ] | |
testData <- prostate[-trainRows, ] | |
# prepare X and Y matrices separately | |
train_x <- as.matrix(trainData[, colnames(trainData) %ni% c("lpsa", "train")]) | |
train_y <- as.matrix(trainData[, "lpsa"]) | |
test_x <- as.matrix(testData[, colnames(trainData) %ni% c("lpsa", "train")]) | |
test_y <- as.matrix(testData[, "lpsa"]) | |
# grid | |
grid=10^seq(10, -2, length=100) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment