Hi AgitatedDove14 ,
I noticed that ClearML parses clearml.automation.UniformParameterRange
to configuration space to be used with BOHB. When I've used BOHB previously I can use UniformFloatHyperparameter
from the configuration space package that allows me to set a parameter in logspace. That is the range is defended by something like numpy.logspace
rather than numpy.linspace
Hi RobustRat47
What do you mean by "log space for hyperparameter" , what would be the difference ? (Notice that on the graph itself you can switch to log scale when viewing in the UI) ?
Or are you referring to the hyper parameter optimization, allowing you to add log space ?