From d9efdfcff184baaec054b52d21cdb0f655dba69b Mon Sep 17 00:00:00 2001
From: Thierry Moudiki <thierry.moudiki@gmail.com>
Date: Wed, 7 Aug 2024 08:20:50 +0200
Subject: [PATCH] bump version --> 0.9.1

---
 setup.py                      | 2 +-
 teller/explainer/explainer.py | 7 +++++--
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/setup.py b/setup.py
index 9c927f9..c5767ac 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 from codecs import open
 from os import path
 
-__version__ = '0.10.0'
+__version__ = '0.9.1'
 
 
 with open("README.md", "r") as fh:
diff --git a/teller/explainer/explainer.py b/teller/explainer/explainer.py
index e08fcf2..1b22120 100644
--- a/teller/explainer/explainer.py
+++ b/teller/explainer/explainer.py
@@ -151,6 +151,7 @@ def predict_proba(x):
                 return self.obj.predict_proba(x)[:, self.y_class]
 
             y_hat = predict_proba(X)
+            self.residuals_ = y - y_hat
 
             # heterogeneity of effects
             if method == "avg":
@@ -247,6 +248,7 @@ def predict_proba(x):
             self.score_ = score_regression(self.obj, X, y, scoring=self.scoring)
 
             y_hat = self.obj.predict(X)
+            self.residuals_ = y - y_hat
 
             # heterogeneity of effects
             if method == "avg":
@@ -378,8 +380,7 @@ def foo_gaussian(ix):
             ss_tot = np.sum((y - self.y_mean_) ** 2)
             ss_reg = np.sum((y_hat - self.y_mean_) ** 2)
             ss_res = np.sum((y - y_hat) ** 2)
-
-            self.residuals_ = y - y_hat
+            
             self.r_squared_ = 1 - ss_res / ss_tot
             self.adj_r_squared_ = 1 - (1 - self.r_squared_) * (n - 1) / (
                 n - p - 1
@@ -530,6 +531,8 @@ def summary(self):
                         ],
                     ).transpose()
                 )
+                
+        return 
 
     def plot(self, what):
         """Plot average effects, heterogeneity of effects, ...