PySHAC v0.3.3

Changelog

Improvements

• Addition of Multi parameters - MultiDiscreteHyperParameter, MultiUniformContiniousHyperParameter and MultiNormalContiniousHyperParameter.

These multi parameters have an additional argument sample_count which can be used to sample multiple times per step.

Note: The values will be concatenated linearly, so each multi parameter will have a list of values
returned in the resultant OrderedDict. If you wish to flatten the entire search space, you can
use pyshac.flatten_parameters on this OrderedDict.

Example : Creation of a search space of 1000 dice rolls and 500 samples of normally distributed noise.

import pyshac

mp1 = pyshac.MultiDiscreteHP('dice', values=[0, 1, 2, 3, 4, 5, 6], sample_count=1000)
mp2 = pyshac.MultiNormalHP('noise', mean=0.0, std=0.5, sample_count=500)

params = [mp1, mp2]
shac = pyshac.SHAC(params, ...)

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• Documentation for usage of Multi parameters and an example for searching on large search spaces in the Examples/multi_parameter folder.