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Ran 03 Dec 2018 11:29AM UTC

Files 141

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Committed 03 Dec 2018 10:35AM UTC coverage: 25.562% (+0.04%) from 25.523%

Job # PYTHON_VERSION=2.7 FLOATX='float64' TESTCMD="--durations=10 --cov-append pymc3/tests/test_examples.py pymc3/tests/test_posteriors.py"

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push

travis-ci

Committed by

junpenglao

Commit Message

Fix for #3210 without computing the Bayes network (#3273)

* Fix for #3225. Made Triangular `c` attribute be handled consistently with scipy.stats. Added test and updated example code.

* Fix for #3210 which uses a completely different approach than PR #3214. It uses a context manager inside `draw_values` that makes all the values drawn from `TensorVariables` or `MultiObservedRV`s available to nested calls of the original call to `draw_values`. It is partly inspired by how Edward2 approaches the problem of forward sampling. Ed2 tensors fix a `_values` attribute after they first call `sample` and then only return that. They can do it because of their functional scheme, where the entire graph is recreated each time the generative function is called. Our object oriented paradigm cannot set a fixed _values, it has to know it is in the context of a single `draw_values` call. That is why I opted for context managers to store the drawn values.

* Removed leftover print statement

* Added release notes and draw values context managers to mixture and multivariate distributions that make many calls to draw_values or other distributions random methods within their own random.

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