FIX Use slinear interpolation for isotonic regression

raghavrv · raghavrv · commit a9ea55fb404b · 2015-01-17T05:04:22.000+05:30
diff --git a/sklearn/isotonic.py b/sklearn/isotonic.py
@@ -228,7 +228,7 @@ def _build_f(self, X, y):
                              .format(self.out_of_bounds))
 
         bounds_error = self.out_of_bounds == "raise"
-        self.f_ = interpolate.interp1d(X, y, kind='linear',
+        self.f_ = interpolate.interp1d(X, y, kind='slinear',
                                        bounds_error=bounds_error)
 
     def _build_y(self, X, y, sample_weight):
