-
-
Notifications
You must be signed in to change notification settings - Fork 25.9k
Bayesian regression #5
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Comments
Any progress on this ? |
Nope, but I will try it asap, in the next weeks. |
Cool. First learn mutt, then fix this :-) |
Some more copyediting, as well as a small section on cross-validation
what's our status on this? |
Didn't work on this. |
What do you think about my PR: #534 ? |
Seems good ! Thanks for cleaning this. Any way, I think that the Bayesian side of skl needs more love (and my TODO list is already long !)... Bayesian classification, different priors (using pyMC ?) |
Thanks :) |
I'm not a Bayesian specialist too, so feel free to update this part of the SKL ! |
Do you still plan on working this? Otherwise I'd close the issue. If you have any more specific remarks, I'll gladly include them in my pull request. |
I will not work on this in the next weeks, so you can close the pull request. For me, due to the amount of work, Bayesian methods improvements in SKL should be dealt with in a dedicated sprint. |
MRG: Changes and fixes on treeweights
FIX added some descriptions to each categories in the main webpage
package yaml
Update branch
Add priors on the mean instead of assuming that the prior means are zero.
Add more reference in the doc.
Modify ARD in order to use a vector of hyperparameters for the precision instead of a single value.
Spelling : defaut -> default unless you insist on using french, spelling out ARD (Automatic Relevance Determination) regression in the docstring as in the comment line would be useful.
Thanks to Josef for the remarks.
The text was updated successfully, but these errors were encountered: