scikit-learn-contrib / imbalanced-learn / 371
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371

Pull #234

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<a href="https://github.com/scikit-learn-contrib/imbalanced-learn/commit/<a class=hub.com/scikit-learn-contrib/imbalanced-learn/commit/703f4af03d6e42f3fe1f449338abb034ae56bf0c">703f4af03<a href="https://github.com/scikit-learn-contrib/imbalanced-learn/commit/703f4af03d6e42f3fe1f449338abb034ae56bf0c">&quot;&gt;Correcting EasyEnsemble doc

In EasyEnsemble doc page, its signature is

&amp;gt; class imblearn.ensemble.EasyEnsemble(ratio=&amp;#39;auto&amp;#39;, return_indices=False, random_state=None, replacement=False, n_subsets=10)

with `return_indices=False`, but its pydoc says

&amp;gt; return_indices : bool, optional (default=True)
&amp;gt;
&amp;gt;Whether or not to return the indices of the samples randomly selected from the majority class.

Checking the code at https://github.com/scikit-learn-contrib/imbalanced-learn/blob/</a><a class="double-link" href="https://github.com/scikit-learn-contrib/imbalanced-learn/commit/<a class="double-link" href="https://github.com/scikit-learn-contrib/imbalanced-learn/commit/b45a3e4167d188ec9fd40afd3a56330aa80a5ee1">b45a3e416</a>">b45a3e416</a><a href="https://github.com/scikit-learn-contrib/imbalanced-learn/commit/703f4af03d6e42f3fe1f449338abb034ae56bf0c">/imblearn/ensemble/easy_ensemble.py#L92, the correct value is False.
Pull Request #234: [MRG] Correcting EasyEnsemble doc

3897 of 3939 relevant lines covered (98.93%)

1.98 hits per line

Jobs
ID Job ID Ran Files Coverage
1 371.1 (DISTRIB="conda" PYTHON_VERSION="2.7" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1") 56
98.93
 Travis Job 371.1
2 371.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.11.2" SCIPY_VERSION="0.18.1" SKLEARN_VERSION="0.18.1") 56
98.88
 Travis Job 371.2
Source Files on build 371
Coverage ∆ File Lines Relevant Covered Missed Hits/Line