Any Plans For Log Space For Hyperparameter Support (Log Argument)? This Is Supported Config Space

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any plans for log space for hyperparameter support (log argument)? this is supported config space https://github.com/automl/ConfigSpace/blob/772665a86bca0d5b0c58ec7e7ea42bf5daadcbd3/ConfigSpace/hyperparameters.pyx

Happy to have a look at this :)

cdef class UniformFloatHyperparameter(FloatHyperparameter): def __init__(self, name: str, lower: Union[int, float], upper: Union[int, float], default_value: Union[int, float, None] = None, q: Union[int, float, None] = None, log: bool = False, meta: Optional[Dict] = None) -> None: """

  				
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	3 years ago

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					RobustFox47
				
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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

  				
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	3 years ago

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					RobustFox47
				
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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 ?

  				
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	3 years ago

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					AgitatedDove14
				
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lmk if I can expand on this more 🙂

  				
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					RobustFox47
				
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