Precision

summit/multiview_platform/monoview_classifiers/repeatboost.py

@@ -23,7 +23,7 @@ class RepDT(DecisionTree):
     def fit(self, X, y, sample_weight=None, check_input=True):
         if sample_weight is not None:
             new_X, new_y = self.fake_repetitions(X, y, sample_weight,
-                                                 precision=3)
+                                                 precision=4)
         else:
             new_X = X
             new_y = y

summit/multiview_platform/monoview_classifiers/scm.py

@@ -65,7 +65,7 @@ class SCM(scm, BaseMonoviewClassifier):
 
     def fit(self, X, y, tiebreaker=None, iteration_callback=None, sample_weight=None, **fit_params):
         if sample_weight is not None:
-            new_X, new_y = self.fake_repetitions(X, y, sample_weight, precision=3)
+            new_X, new_y = self.fake_repetitions(X, y, sample_weight, precision=4)
         else:
             new_X = X
             new_y = y