Timeline for regularized LLS, trying to compute by hand the optimal weights yields wrong results
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 6, 2023 at 18:33 | vote | accept | kal_elk122 | ||
| Oct 6, 2023 at 18:33 | |||||
| May 11, 2023 at 12:16 | comment | added | kal_elk122 | redefined the X matrix to include features - look at first pic. I redefined A as theta, and took the formula verbaitim from my course (didn’t change notation) - caused some serious notational overlap. my lambda was 1, redefined it as 1/3 to normalize. talked to a TA and he said the formula only works for l_2 ridge regression and I’d have to see what changes when i change A -> ideally it should vanish. | |
| May 10, 2023 at 13:31 | comment | added | brewmaster321 | Wouldn't your X just be (0,1,2) and y = (1,1,2)? I'm having a hard time understanding where your A comes from? From the notation W, Theta appear at least to me to refer to the same matrix. Also, what is your lambda? | |
| May 8, 2023 at 5:54 | history | edited | kal_elk122 | CC BY-SA 4.0 |
added 15 characters in body
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| May 6, 2023 at 9:52 | history | edited | kal_elk122 | CC BY-SA 4.0 |
added 147 characters in body
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| May 6, 2023 at 9:38 | history | edited | kal_elk122 | CC BY-SA 4.0 |
added 187 characters in body
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| S May 5, 2023 at 14:53 | review | First answers | |||
| May 16, 2023 at 0:12 | |||||
| S May 5, 2023 at 14:53 | history | answered | kal_elk122 | CC BY-SA 4.0 |