DOC update other docstring

Author: glemaitre

imblearn/over_sampling/_adasyn.py

@@ -50,6 +50,15 @@ class ADASYN(BaseOverSampler):
     --------
     SMOTE : Over-sample using SMOTE.
 
+    SMOTENC : Over-sample using SMOTE for continuous and categorical features.
+
+    SMOTEN : Over-sample using the SMOTE variable specifically for categorical
+        features only.
+
+    SVMSMOTE : Over-sample using SVM-SMOTE variant.
+
+    BorderlineSMOTE : Over-sample using Borderline-SMOTE variant.
+
     Notes
     -----
     The implementation is based on [1]_.

imblearn/over_sampling/_random_over_sampler.py

@@ -76,6 +76,9 @@ class RandomOverSampler(BaseOverSampler):
 
     SMOTENC : Over-sample using SMOTE for continuous and categorical features.
 
+    SMOTEN : Over-sample using the SMOTE variable specifically for categorical
+        features only.
+
     SVMSMOTE : Over-sample using SVM-SMOTE variant.
 
     ADASYN : Over-sample using ADASYN.

imblearn/over_sampling/_smote.py

@@ -450,6 +450,9 @@ class SVMSMOTE(BaseSMOTE):
 
     SMOTENC : Over-sample using SMOTE for continuous and categorical features.
 
+    SMOTEN : Over-sample using the SMOTE variable specifically for categorical
+        features only.
+
     BorderlineSMOTE : Over-sample using Borderline-SMOTE.
 
     ADASYN : Over-sample using ADASYN.
@@ -645,6 +648,9 @@ class SMOTE(BaseSMOTE):
     --------
     SMOTENC : Over-sample using SMOTE for continuous and categorical features.
 
+    SMOTEN : Over-sample using the SMOTE variable specifically for categorical
+        features only.
+
     BorderlineSMOTE : Over-sample using the borderline-SMOTE variant.
 
     SVMSMOTE : Over-sample using the SVM-SMOTE variant.
@@ -813,6 +819,9 @@ class SMOTENC(SMOTE):
     --------
     SMOTE : Over-sample using SMOTE.
 
+    SMOTEN : Over-sample using the SMOTE variable specifically for categorical
+        features only.
+
     SVMSMOTE : Over-sample using SVM-SMOTE variant.
 
     BorderlineSMOTE : Over-sample using Borderline-SMOTE variant.
@@ -1102,6 +1111,11 @@ class KMeansSMOTE(BaseSMOTE):
     --------
     SMOTE : Over-sample using SMOTE.
 
+    SMOTENC : Over-sample using SMOTE for continuous and categorical features.
+
+    SMOTEN : Over-sample using the SMOTE variable specifically for categorical
+        features only.
+
     SVMSMOTE : Over-sample using SVM-SMOTE variant.
 
     BorderlineSMOTE : Over-sample using Borderline-SMOTE variant.