What optimization method did you use?

AFAIK, it's the default one - "Bandit-based Bayesian ..."

Also, what are the values that the cloned experiments get?

As far as I see, there are a few experiments with the same value, for instance 0.3.

I'll try to add a log, and to play with number's format

Done - https://github.com/allegroai/clearml/issues/873

What optimization method did you use? Can you add a log of the HPO app? It's in hidden projects (Go to settings and enable viewing hidden projects).

Also, what are the values that the cloned experiments get?

And finally 🙂
Can you try with values 0 and 1 without the decimal points at the end?

Sure, thanks!

AttractiveShrimp45 , can you please open a GitHub issue to follow on this please?

Oops - of course step is 0.1

Do you have a screenshot of your settings?

Can you add a log of the HPO app? It's in hidden projects (Go to settings and enable viewing hidden projects).

Here is the log of 'hpo-app' app. And it's really seems to be related to float type...

Hi AttractiveShrimp45 . You input min value as 0, max value as 1 and step as 1?