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master: 99%

Ran 13 Jan 2017 09:40AM UTC

Files 56

Run time 2s

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Committed 13 Jan 2017 09:37AM UTC coverage: 98.856% (+0.01%) from 98.846%

Job # DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1"

Build Type

push

travis-ci

Committed by

glemaitre

Commit Message

Addressing issue #215 - G-mean for multi-class problems (#219)

* Added option to calculate G-mean for multiclass problems without averaging one-vs-rest results (#215).

* Addressing issue #215. (removed unnecessary import)

* Fixed line length to be in accordance with PEP 8.

Run Details

3890 of 3935 relevant lines covered (98.86%)

0.99 hits per line

Source Files on job 350.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1")

scikit-learn-contrib / imbalanced-learn / 350 / 2
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master: 99%

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Source Files on job 350.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1")

scikit-learn-contrib / imbalanced-learn / 350 / 2 99% master: 99%

README BADGES x

Markdown

Textile

RDoc

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Source Files on job 350.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1")

scikit-learn-contrib / imbalanced-learn / 350 / 2
99%
master: 99%

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x