Øyvind Eide
Øyvind Eide
Since the README of the poly_example is complete, I will close this issue as ert3 no longer exists.
This is also a good opportunity to add logging of which parameter distributions are being used.
We need to migrate storages from older versions by converting the summary data from float64 to float32. This problem occured originally because it was read in float32, but converted to...
Did you look into the scikit learn documentation for example? It has some good examples of developer documentation, for example: https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/__init__.py and https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/metrics/_ranking.py
Blocked because we were not able to reproduce, awaiting feedback from user. If anyone is able to reproduce, please remove the blocked label.
Not able to reproduce, and did not hear back from user.
Related to: #7531
Also a general comment, this will require a bump in the storage version, and a migration from version 5 -> 6
Note that es-mda restart does the same thing, where the iterations are shown as all of them, however that run model only starts the active.
A very non-scientific test, but `test_cli.py` was 30% faster in this branch vs main