From 3bc2e3923966329c2ad99d34442a3bdd1152af45 Mon Sep 17 00:00:00 2001
From: hakatGH <51356419+hakatGH@users.noreply.github.com>
Date: Fri, 17 Jul 2020 15:56:46 +0900
Subject: [PATCH 1/4] Update pystacknet.py

---
 pystacknet/pystacknet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pystacknet/pystacknet.py b/pystacknet/pystacknet.py
index 356f77e..4d4b967 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

From e44b591a94933e1130859fdb8b1243701a248642 Mon Sep 17 00:00:00 2001
From: hakatGH <51356419+hakatGH@users.noreply.github.com>
Date: Fri, 17 Jul 2020 17:26:46 +0900
Subject: [PATCH 2/4] Update pystacknet.py

---
 pystacknet/pystacknet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pystacknet/pystacknet.py b/pystacknet/pystacknet.py
index 4d4b967..d824053 100644
--- a/pystacknet/pystacknet.py
+++ b/pystacknet/pystacknet.py
@@ -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
 

From 58be0d5a0cc030b5a115f1501abdcfedb6bab3f3 Mon Sep 17 00:00:00 2001
From: hakatGH <51356419+hakatGH@users.noreply.github.com>
Date: Mon, 20 Jul 2020 14:19:15 +0900
Subject: [PATCH 3/4] Update README.md

---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index cab00f8..774c7a7 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 fix it for sklearn 0.23.0
+ now It works greatly :)

From 02c90bd52a8477986d7a1db33b64e3a4385ff72c Mon Sep 17 00:00:00 2001
From: hakatGH <51356419+hakatGH@users.noreply.github.com>
Date: Mon, 20 Jul 2020 14:19:36 +0900
Subject: [PATCH 4/4] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 774c7a7..a4b3758 100644
--- a/README.md
+++ b/README.md
@@ -90,5 +90,5 @@ n_jobs   |   Number of models to run in parallel. This is independent of any ext
  verbose   |   Integer value higher than zero to allow printing at the console. 
  
  -------------------------------------------------------------------------------------------------
- I fix it for sklearn 0.23.0
+ I fixed it for sklearn 0.23.0
  now It works greatly :)