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Ran 22 Jan 2019 09:46PM UTC

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Committed 04 Jan 2019 05:26AM UTC coverage: 93.787% (+0.1%) from 93.656%

Job # GROUP=tests

Build Type

push

travis-ci

Committed by

ben-manes

Commit Message

Add decay rate to simple hill climber

The simple climber is more effective than gradient descent, as we can't
find a good gradient equation. However it lacks features like momentum
and adaptive learning rates. If instead we decay the step size and
sampling rate, we get similar good behavior. Then it should converge at
an optimal value.

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