Repository navigation
Conversation
Contributor
Author
|
I love Lapack ! v 3.2 solved it. Now all that's left is to wrap this |
Contributor
Author
|
@shakirm, look at that techreport from Lapack guys!! This is beautiful.... |
A drop of water in an ocean of allocations...
It will actually be needed until I fix the problem with torch.manualSeed() not resetting the whole state of randomkit, especially the gaussian part.
jucor
pushed a commit
that referenced
this pull request
Nov 5, 2013
Support marginals with 0 variance in multivariate Gaussian
Contributor
Author
|
And voila :) With lazy version, though, until |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Numpy supports it: should we? @shakirm, please, what do you think: useful for GP, or rare enough that we don't ned to make it a priority?