-
Notifications
You must be signed in to change notification settings - Fork 95
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
Add support for sigma=0 in normally distributed hyperparameters #285
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks a lot for pulling out this change. Could you please add some comments in this PR on the changes (so it will be easy later to understand this PR) and add some comments (at least where I requested them)?
Codecov ReportBase: 67.97% // Head: 67.97% // No change to project coverage 👍
Additional details and impacted files@@ Coverage Diff @@
## main #285 +/- ##
=======================================
Coverage 67.97% 67.97%
=======================================
Files 25 25
Lines 1786 1786
=======================================
Hits 1214 1214
Misses 572 572 Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here. ☔ View full report at Codecov. |
Hi, this PR is out of date and will entirely be so once #346 is merged. As a result, I will close this but thank you for the PR! However I was still wondering why there's a need for a dirac delta function, given this is equivalent to a |
The idea was to autotune with ytopt using certain fixed values that might change later on. For example, autotuning the multiplication of a 32 x 32 matrix and a 32 x 1000 matrix at first and then later autotuning the multiplication of a 32 x 32 and 32 x 5000 matrix (but using the data from the first case to inform initial model). I think I tried using |
Thanks for the use case! Would it ha e helped if you could easily copy and modify a Configuration space between executions? A lot of ConfigSpace relies on hyperparameter's attributes remaining fixed but there's no real API for mutating spaces or hyperparameter's which I guess might have helped here |
Yeah, that likely would have been helpful. |
Moving this to separate pull request per #280
This pull request does mainly two things:
mu
. For instancemu=4.5
might be chosen if one desires four and five to be chosen with equal probability. This required changingdefault_value
to bemu
rounded to the nearest integer when not otherwise specified.sigma=0
in NormalIntegerHyperparameter objects. This means the distribution is a Dirac delta function and the only value returned from the distribution is the mean (mu
). If themu
is not an integer then an error is raised during instantiation.