LFD Book Forum

LFD Book Forum (http://book.caltech.edu/bookforum/index.php)
-   Chapter 4 - Overfitting (http://book.caltech.edu/bookforum/forumdisplay.php?f=111)
-   -   Equation 4.13 calculating y_hat_n (http://book.caltech.edu/bookforum/showthread.php?t=4537)

cbmachine 11-05-2014 09:49 AM

Equation 4.13 calculating y_hat_n
 
I am a bit confused about calculating the value for y_hat_n. To calculate this value should I calculate w_reg(lamda_N-1) for N-1 data points and then calculate y_hat_n using X(n)*w_reg(lamda_N-1). Or should it be calculated using w_reg(lamda_N) i.e. w_reg calculated over all N points?

Any input will be highly appreciated

magdon 11-05-2014 06:31 PM

Re: Equation 4.13 calculating y_hat_n
 
You use w_reg(lamda_N). y_hat_n is your prediction on data point n after learning on all the data.

Quote:

Originally Posted by cbmachine (Post 11814)
I am a bit confused about calculating the value for y_hat_n. To calculate this value should I calculate w_reg(lamda_N-1) for N-1 data points and then calculate y_hat_n using X(n)*w_reg(lamda_N-1). Or should it be calculated using w_reg(lamda_N) i.e. w_reg calculated over all N points?

Any input will be highly appreciated


cbmachine 11-06-2014 12:51 PM

Re: Equation 4.13 calculating y_hat_n
 
Thank you for the reply :)


All times are GMT -7. The time now is 07:27 AM.

Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.