2337
94%
master: 100%

Ran 23 Jan 2019 04:56AM UTC

Jobs 1

Files 67

Run time 7s

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Build # 2337

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.

Run Details

5770 of 6148 relevant lines covered (93.85%)

0.94 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
2	2337.2 (GROUP=tests)	23 Jan 2019 04:56AM UTC	0	93.85	Travis Job 2337.2

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master: 100%

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