documentation

doc/whats_new/v0.6.rst

@@ -6,3 +6,46 @@ Version 0.6.0 (under-development)
 Changelog
 ---------
 
+Changed models
+..............
+
+The following models might give some different sampling due to changes in
+scikit-learn:
+
+- :class:`imblearn.under_sampling.ClusterCentroid`
+- :class:`imblearn.under_sampling.InstanceHardnessThreshold`
+
+Maintenance
+...........
+
+- Update imports from scikit-learn after that some modules have been privatize.
+  The following import have been changed:
+  :class:`sklearn.ensemble._base._set_random_states`,
+  :class:`sklearn.ensemble._forest._parallel_build_trees`,
+  :class:`sklearn.metrics._classification._check_targets`,
+  :class:`sklearn.metrics._classification._prf_divide`,
+  :class:`sklearn.utils.Bunch`,
+  :class:`sklearn.utils._safe_indexing`,
+  :class:`sklearn.utils._testing.assert_allclose`,
+  :class:`sklearn.utils._testing.assert_array_equal`,
+  :class:`sklearn.utils._testing.SkipTest`.
+  :pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+Deprecation
+...........
+
+- The following classes have been removed after 2 deprecation cycles:
+  `ensemble.BalanceCascade` and `ensemble.EasyEnsemble`.
+  :pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- The following functions have been removed after 2 deprecation cycles:
+  `utils.check_ratio`.
+  :pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- The parameter `ratio` and `return_indices` has been removed from all
+  samplers.
+  :pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- The parameters `m_neighbors`, `out_step`, `kind`, `svm_estimator`
+  have been removed from the :class:`imblearn.over_sampling.SMOTE`.
+  :pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.

imblearn/metrics/_classification.py

@@ -20,9 +20,9 @@
 import numpy as np
 import scipy as sp
 
+from sklearn.metrics import precision_recall_fscore_support
 from sklearn.metrics._classification import _check_targets
 from sklearn.metrics._classification import _prf_divide
-from sklearn.metrics._classification import precision_recall_fscore_support
 
 from sklearn.preprocessing import LabelEncoder
 from sklearn.utils.multiclass import unique_labels