fixed soup_basin experiment

experiments/mixed_setting_exp.py

@@ -95,7 +95,7 @@ class MixedSettingExperiment:
         # and only they need the batch size. To not affect the number of epochs shown in the 3D plot, will send
         # forward the number "1" for batch size with the variable <irrelevant_batch_size>
         irrelevant_batch_size = 1
-        plot_3d_self_train(self.nets, exp_name, self.directory_name, irrelevant_batch_size)
+        plot_3d_self_train(self.nets, exp_name, self.directory_name, irrelevant_batch_size, True)
 
     def count_fixpoints(self):
         exp_details = f"SA steps: {self.SA_steps}; ST steps: {self.ST_steps_between_SA}"

experiments/soup_exp.py

@@ -88,8 +88,7 @@ class SoupExperiment:
             # Testing for fixpoints after each batch of ST steps to see relevant data
             if i % self.ST_steps == 0:
                 test_for_fixpoints(self.fixpoint_counters, self.population)
-                fixpoints_percentage = round((self.fixpoint_counters["fix_zero"] + self.fixpoint_counters["fix_weak"] +
-                                              self.fixpoint_counters["fix_sec"]) / self.population_size, 1)
+                fixpoints_percentage = round(self.fixpoint_counters["identity_func"] / self.population_size, 1)
                 self.fixpoint_counters_history.append(fixpoints_percentage)
 
             # Resetting the fixpoint counter. Last iteration not to be reset -