I am the one who opened issue on Github repo for Advanced R Programming Lab 6 previously.
Currently, I and my classmates are stuck on the Lab 7, in task 1.2 instruction 4.
Fit a ridge regression model using your ridgereg() function to the training dataset for different values of λ. How to include custom models in caret is described here.
I think there is lack of information in instruction. Because, I can not understand what I am supposed to do exactly. I am okay with first sentence. I can run my ridgereg for different values of lambda without caret, however, no idea for second sentence. What is the connection with caret here?
I looked at the link you mentioned here. I read the documentation. I have seen the getModelInfo() way. But, I couldn't see the connection with our ridgereg function as well.
I am the one who opened issue on Github repo for Advanced R Programming Lab 6 previously.
Currently, I and my classmates are stuck on the Lab 7, in task 1.2 instruction 4.
I think there is lack of information in instruction. Because, I can not understand what I am supposed to do exactly. I am okay with first sentence. I can run my ridgereg for different values of lambda without caret, however, no idea for second sentence. What is the connection with caret here?
I looked at the link you mentioned here. I read the documentation. I have seen the getModelInfo() way. But, I couldn't see the connection with our ridgereg function as well.