scikit-learn-contrib / imbalanced-learn / 29
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glemaitre 
added AllKNN under-sampling method (#97)

* added AllKNN under sampling technique

* test_allknn using assert_array_almost_equal

* Add data

* changing allknn doctest and removing internal data copy in _sample(X, y)

97 of 97 new or added lines in 3 files covered. (100.0%)

2942 of 2962 relevant lines covered (99.32%)

0.99 hits per line

Jobs
ID Job ID Ran Files Coverage
1 29.1 (DISTRIB="conda" PYTHON_VERSION="2.7" COVERAGE="true" NUMPY_VERSION="1.9.3" SCIPY_VERSION="0.16.0") 50
99.32
 Travis Job 29.1
Source Files on build 29
Coverage ∆ File Lines Relevant Covered Missed Hits/Line