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NGO: in low dim and hard thresholding, use FastGA variant #426

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Jan 2, 2020
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NGO: in low dim and hard thresholding, use FastGA variant #426

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5 changes: 4 additions & 1 deletion nevergrad/optimization/optimizerlib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1518,7 +1518,10 @@ def __init__(self, instrumentation: Union[int, Instrumentation], budget: Optiona
self.has_discrete_not_softmax = "rderedDiscr" in str(self.instrumentation.variables)
if self.has_noise and self.has_discrete_not_softmax:
# noise and discrete: let us merge evolution and bandits.
self.optims = [DoubleFastGAOptimisticNoisyDiscreteOnePlusOne(self.instrumentation, budget, num_workers)]
if self.dimension < 60:
self.optims = [DoubleFastGADiscreteOnePlusOne(self.instrumentation, budget, num_workers)]
else:
self.optims = [CMA(self.instrumentation, budget, num_workers)]
else:
if self.has_noise and self.fully_continuous:
# This is the real of population control. FIXME: should we pair with a bandit ?
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