Skip to content
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

example ML2 parameter selection for GP Regression #1100

Merged
merged 3 commits into from
May 16, 2013

Conversation

abinashpanda
Copy link
Contributor

PR for Issue #1080


show()

return gp, alpha, labels, diagonal, covariance, mean, cholesky
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

covariance is not defined

@votjakovr
Copy link
Contributor

Hi @abinashpanda!

If you are doing graphical example, then please move it into python_modular/graphical.
Also please check, that there is no errors and exceptions in your code.

Best!

@karlnapf
Copy link
Member

Nice example, thanks!
I will merge already, but could you add some more plotting stuff (e.g. plot variance of the gp)

karlnapf added a commit that referenced this pull request May 16, 2013
example ML2 parameter selection for GP Regression
@karlnapf karlnapf merged commit aea5afa into shogun-toolbox:develop May 16, 2013
@karlnapf
Copy link
Member

and also please add a check for eigen3 as in themodular example

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

4 participants