Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with lasso
Search options not deleted
user 331303
A regularization method for regression models that shrinks coefficients towards zero, making some of them equal to zero. Thus lasso performs feature selection.
0
votes
0
answers
27
views
Interpretation of lasso shrinkage
Is there a similar interpretation to the lasso? That is, how does lasso choose which covariates to shrink down and truncate and what does that imply about them? … If a predictor is dropped by lasso, can we then suggest that that predictor was weak/low variance/irrelevant? …
- 216
3
votes
1
answer
189
views
Resources for learning about lasso
I'm looking for resources on lasso regression at the undergraduate mathematics level. All I can find is a lot of complex texts on variable selection, concentration inequalities, etc. … I would like to understand more about how the lasso selects variables and works. …
