scikit-learn-contrib / imbalanced-learn / 350
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Jobs 2
Files 56
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glemaitre 
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.

38 of 38 new or added lines in 1 file covered. (100.0%)

3892 of 3935 relevant lines covered (98.91%)

1.98 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
1
100.0
 imblearn/metrics/classification.py
Jobs
ID Job ID Ran Files Coverage
1 350.1 (DISTRIB="conda" PYTHON_VERSION="2.7" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1") 0
98.91
 Travis Job 350.1
2 350.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1") 0
98.86
 Travis Job 350.2
Source Files on build 350
Detailed source file information is not available for this build.