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Old 05-22-2020, 10:51 PM
jtykwok jtykwok is offline
Join Date: Oct 2003
Studying for PA
College: Simon Fraser
Posts: 48
Default The feature matrix X in the glmnet() function

For the function:

glmnet(X, y = df$y,
family = "gaussian",
alpha = 0,
lambda = 0.1

In Module 6, two different ways to construct X was demonstrated. The first time using as.matrix() function (which creates the 6 features) and then the second time using the model.matrix() function (which creates the intercept term). It seems having the intercept term or not would not impact the result. Why is that the case?
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