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Ran 18 Dec 2019 04:52AM UTC

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Committed 18 Dec 2019 04:51AM UTC coverage: 75.712% (-0.2%) from 75.909%

Job # PYVERSION=""

Build Type

push

travis-ci

Committed by

natekupp

Commit Message

Improving the sklearn-style API (#37)

* Bump version number for PyPI release, and include Py3.6 as supported.

* Update push_to_pypi to use twine.

* Update runffx tool for Python 3

* Added a Scikit-learn API, bumped FFX version number and Python/Sklearn numbers.

* Squeeze an unused dimension in y. Move a comment in api. Add a commented line for pushing to test-PyPI.

* Bump version number again and remember to rm old versions when uploading to PyPI.

* Corrected the count of GP nodes (complexity) and used it in existing test, also added the code from the README as a test.

* Bump version number for PyPI

* Fix special case for thresholds when x var has no variance.

* Change _model to model_ and same for _models to conform to sklearn Estimator API. Add FFXModel.predict as alias of FFXModel.simulate so individual models can be used in pseudo-sklearn model.predict(X) style.

* Instead of hacking thresholds for case where x var has no variance, just continue. See https://github.com/natekupp/ffx/pull/33.

* Make FFXModel and ConstantModel into sklearn Regressors and add predict to the latter also, and add a test of all this.

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natekupp / ffx / 16 / 2
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natekupp / ffx / 16 / 2 76% master: 76%

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natekupp / ffx / 16 / 2
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