diff --git a/README.md b/README.md
index cab00f8..a4b3758 100644
--- a/README.md
+++ b/README.md
@@ -88,3 +88,7 @@ random_state   |  Integer for randomised procedures
 n_jobs   |   Number of models to run in parallel. This is independent of any extra threads allocated
  n_jobs   |   Number of models to run in parallel. This is independent of any extra threads allocated from the selected algorithms. e.g. it is possible to run 4 models in parallel where one is a randomforest that runs on 10 threads (it selected).
  verbose   |   Integer value higher than zero to allow printing at the console. 
+ 
+ -------------------------------------------------------------------------------------------------
+ I fixed it for sklearn 0.23.0
+ now It works greatly :)
diff --git a/pystacknet/pystacknet.py b/pystacknet/pystacknet.py
index 356f77e..d824053 100644
--- a/pystacknet/pystacknet.py
+++ b/pystacknet/pystacknet.py
@@ -19,7 +19,7 @@
 from sklearn.model_selection import KFold
 from sklearn.utils import check_X_y,check_array,check_consistent_length, column_or_1d
 import inspect
-from sklearn.externals.joblib import delayed,Parallel
+from joblib import delayed,Parallel
 import operator
 import time
 from sklearn.preprocessing import LabelEncoder
@@ -97,7 +97,7 @@ def _parallel_predict_proba_scoring(estimators, X, index):
                 raise Exception (" predictions' shape not equal among estimators within the  batch as %d!=%d " % (predictions.shape[1],preds.shape[1]))
                 
             preds+=predictions
-    preds/=float(len(estimators))
+    preds= np.true_divide(preds,float(len(estimators)))
 
     return preds,index