MAINT Update CI (#679)

Author: chkoar

README.rst

@@ -4,17 +4,14 @@
 
 .. _scikit-learn-contrib: https://github.com/scikit-learn-contrib
 
-|Azure|_ |Travis|_ |AppVeyor|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |Pypi|_ |Gitter|_
+|Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |Pypi|_ |Gitter|_
 
 .. |Azure| image:: https://dev.azure.com/imbalanced-learn/imbalanced-learn/_apis/build/status/scikit-learn-contrib.imbalanced-learn?branchName=master
 .. _Azure: https://dev.azure.com/imbalanced-learn/imbalanced-learn/_build
 
 .. |Travis| image:: https://travis-ci.org/scikit-learn-contrib/imbalanced-learn.svg?branch=master
 .. _Travis: https://travis-ci.org/scikit-learn-contrib/imbalanced-learn
 
-.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/c8w4xb7re4euntvi/branch/master?svg=true
-.. _AppVeyor: https://ci.appveyor.com/project/glemaitre/imbalanced-learn/history
-
 .. |Codecov| image:: https://codecov.io/gh/scikit-learn-contrib/imbalanced-learn/branch/master/graph/badge.svg
 .. _Codecov: https://codecov.io/gh/scikit-learn-contrib/imbalanced-learn
 

appveyor.yml

@@ -73,15 +73,13 @@ elif [[ "$DISTRIB" == "ubuntu" ]]; then
     sudo apt-get install python3-scipy libatlas3-base libatlas-base-dev libatlas-dev python3-virtualenv git
     python3 -m virtualenv --system-site-packages --python=python3 $VIRTUALENV
     source $VIRTUALENV/bin/activate
-    python -m pip install pandas
     python -m pip install pytest==$PYTEST_VERSION pytest-cov joblib cython
     python -m pip install git+https://github.com/scikit-learn/scikit-learn.git
 elif [[ "$DISTRIB" == "ubuntu-32" ]]; then
     apt-get update
     apt-get install -y python3-dev python3-scipy libatlas3-base libatlas-base-dev libatlas-dev python3-virtualenv git
     python3 -m virtualenv --system-site-packages --python=python3 $VIRTUALENV
     source $VIRTUALENV/bin/activate
-    python -m pip install pandas
     python -m pip install pytest==$PYTEST_VERSION pytest-cov joblib cython
     python -m pip install git+https://github.com/scikit-learn/scikit-learn.git
 elif [[ "$DISTRIB" == "conda-pip-latest" ]]; then

build_tools/azure/install.sh

@@ -97,7 +97,7 @@ a boosting iteration :cite:`seiffert2009rusboost`::
   RUSBoostClassifier(...)
   >>> y_pred = rusboost.predict(X_test)
   >>> balanced_accuracy_score(y_test, y_pred)  # doctest: +ELLIPSIS
-  0.6...
+  0.4...
 
 A specific method which uses ``AdaBoost`` as learners in the bagging classifier
 is called EasyEnsemble. The :class:`EasyEnsembleClassifier` allows to bag

doc/ensemble.rst

@@ -9,6 +9,7 @@
 
 from sklearn.ensemble import GradientBoostingClassifier
 from sklearn.ensemble import RandomForestClassifier
+from sklearn.naive_bayes import GaussianNB as NB
 from sklearn.utils._testing import assert_array_equal
 
 from imblearn.under_sampling import InstanceHardnessThreshold
@@ -55,13 +56,13 @@ def test_iht_fit_resample():
 
 
 def test_iht_fit_resample_half():
-    sampling_strategy = {0: 6, 1: 8}
+    sampling_strategy = {0: 3, 1: 3}
     iht = InstanceHardnessThreshold(
-        ESTIMATOR, sampling_strategy=sampling_strategy, random_state=RND_SEED
+        NB(), sampling_strategy=sampling_strategy, random_state=RND_SEED
     )
     X_resampled, y_resampled = iht.fit_resample(X, Y)
-    assert X_resampled.shape == (14, 2)
-    assert y_resampled.shape == (14,)
+    assert X_resampled.shape == (6, 2)
+    assert y_resampled.shape == (6,)
 
 
 def test_iht_fit_resample_class_obj():