Added fig

multiview_generator/multiple_sub_problems.py

@@ -65,7 +65,6 @@ class MultiViewSubProblemsGenerator:
         if config_file is not None:
             args = get_config_from_file(config_file)
             self.__init__(**args)
-            print(self.sub_problem_types)
         else:
             self.rs = init_random_state(random_state)
             self.n_samples = n_samples
@@ -264,8 +263,6 @@ class MultiViewSubProblemsGenerator:
             (self.n_examples_per_class[class_index] * (1 - confusion)).astype(
                 int)
             for class_index, confusion in enumerate(self.error_matrix)]
-        print(self.n_well_described)
-        print(2000*0.6/3)
         self.n_misdescribed = [(self.n_examples_per_class[class_index] -
                                 self.n_well_described[class_index])
                                for class_index in range(self.n_classes)]
@@ -391,20 +388,21 @@ class MultiViewSubProblemsGenerator:
             return self.n_samples * self.latent_size_mult
 
     def _gen_indices_for(self, name="redundancy", error_mat_fun=lambda x: 1 - x):
-        quantity = getattr(self, name)
+        quantities = getattr(self, name)
         indices = getattr(self, name + "_indices")
-        if (np.repeat(quantity, self.n_views,
+        if (np.repeat(quantities, self.n_views,
                       axis=1) > error_mat_fun(self.error_matrix)).any():
             raise ValueError(
                 "{} ({}) must be at least equal to the lowest accuracy rate "
                 "of all the confusion matrix ({}).".format(name,
-                    quantity, np.min(error_mat_fun(self.error_matrix), axis=1)))
+                    quantities, np.min(error_mat_fun(self.error_matrix), axis=1)))
         else:
-            for class_index, redundancy in enumerate(quantity):
+            for class_index, quantity in enumerate(quantities):
                 indices[class_index] = self.rs.choice(
                     self.available_init_indices[class_index],
                     size=int(
-                        self.n_examples_per_class[class_index] * redundancy))
+                        self.n_examples_per_class[class_index] * quantity),
+                    replace=False)
                 self._update_example_indices(
                     indices[class_index], name,
                     class_index)