Timeline for Graphical path Coordinate Descent in case of semi-differentiable functions such as Lasso
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Jul 2, 2018 at 6:11 | comment | added | Xavier Bourret Sicotte | Yes well spotted for the 3d graph the z axis (pointing up) is the value of the cost function - which i labeled errror but you are right | |
| Jul 1, 2018 at 19:55 | comment | added | Leo96 | @XavierBourretSicotte I've one small question regarding to the picture. In left graph ist the axis error equal to the value of the Lasso-Regression for a given theta1,theta2 and lambda? | |
| Jun 18, 2018 at 10:15 | vote | accept | rook1996 | ||
| Jun 18, 2018 at 7:30 | comment | added | Xavier Bourret Sicotte | You will find the link here - you were right the two features are highly correlated - I have edited the post | |
| Jun 18, 2018 at 7:29 | history | edited | Xavier Bourret Sicotte | CC BY-SA 4.0 |
correlation edit
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| Jun 16, 2018 at 22:41 | history | edited | Xavier Bourret Sicotte | CC BY-SA 4.0 |
deleted 137 characters in body
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| Jun 16, 2018 at 19:17 | comment | added | rook1996 | What a great comment ! Just two notes. 1) Could you share exactly this Code here, since I am not familiar with python. Just want to play a bit with the lambda to produce various graphs 2) In your simulation case: The contour lines should be circles, since the two predictors are uncorrelated or am I wrong ? | |
| Jun 16, 2018 at 14:37 | history | answered | Xavier Bourret Sicotte | CC BY-SA 4.0 |