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pymc-devs / pymc3 / 6018 / 9
87%
master: 87%

Build:
DEFAULT BRANCH: master
Ran 18 Jul 2017 10:01AM UTC
Files 136
Run time 5s
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18 Jul 2017 09:31AM UTC coverage: 39.836% (-0.2%) from 40.032%
PYTHON_VERSION=3.6 FLOATX='float64' TESTCMD="--durations=10 --cov-append pymc3/tests/test_distributions_random.py pymc3/tests/test_shared.py pymc3/tests/test_smc.py pymc3/tests/test_sampling.py"

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junpenglao
Stochastic Gradient Fisher Scoring  (#1977)

* BaseStochasticGradient and SGFS

SGFS implements algorithm 1 from http://people.ee.duke.edu/~lcarin/782.pdf
The BaseStochasticGradient is extensible for other
mcmc recipies listed here https://arxiv.org/pdf/1506.04696.pdf

* add pm.Minibatch example to a nb

* remove use of lambda scope

* theano non-sequences passed to lambda fn

* modify documentation

* add unit test for sgfs

* fix test

* vanilla test method

* experimental warning added

6055 of 15200 relevant lines covered (39.84%)

0.4 hits per line

Source Files on job 6018.9 (PYTHON_VERSION=3.6 FLOATX='float64' TESTCMD="--durations=10 --cov-append pymc3/tests/test_distributions_random.py pymc3/tests/test_shared.py pymc3/tests/test_smc.py pymc3/tests/test_sampling.py")
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