ficksuppe

code/bar_plot.py

@@ -92,5 +92,5 @@ if __name__ == '__main__':
     in_file = args.in_file[0]
     out_file = args.out_file
 
-    search_and_apply(in_file, plot_bars, files_to_look_for=['all_data.dill'])
+    search_and_apply(in_file, plot_bars, files_to_look_for=['all_counters.dill'])
     # , 'all_names.dill', 'all_notable_nets.dill'])

code/line_plots.py

@@ -28,26 +28,35 @@ def line_plot(names_exp_tuple, filename='lineplot'):
 
     names, line_dict_list = names_exp_tuple
 
-    names = ['Weightwise', 'Aggregating', 'Recurrent']
+    names = ['Weightwise', 'Aggregating']
 
     data = []
     base_scale = cl.scales['10']['div']['RdYlGn']
     scale = cl.interp(base_scale, len(line_dict_list) + 1)  # Map color scale to N bins
     for ld_id, line_dict in enumerate(line_dict_list):
-        trace = go.Scatter(
+        for data_point in ['ys', 'zs']:
-            x=line_dict['xs'],
+            trace = go.Scatter(
-            y=line_dict['ys'],
+                x=line_dict['xs'],
-            name=names[ld_id],
+                y=line_dict[data_point],
-            line=dict(color=scale[ld_id],
+                name='{} {}zero-fixpoints'.format(names[ld_id], 'non-' if data_point == 'zs' else ''),
-                      width=5),
+                line=dict(
-        )
+                    # color=scale[ld_id],
+                    width=5,
+                    # dash='dash' if data_point == 'ys' else ''
+                ),
+            )
 
-        data.append(trace)
+            data.append(trace)
 
-    layout = dict(xaxis=dict(title='Trains per self-attack', titlefont=dict(size=20)),
+    layout = dict(xaxis=dict(title='Trains per self-application', titlefont=dict(size=20)),
-                  yaxis=dict(title='Average amount of fixpoints found', titlefont=dict(size=20)),
+                  yaxis=dict(title='Average amount of fixpoints found',
-                  legend=dict(orientation='h', x=0.2)
+                             titlefont=dict(size=20),
-                  # height=800, width=800, margin=dict(l=0, r=0, t=0, b=0)
+                             # type='log',
+                             # range=[0, 2]
+                             ),
+                  legend=dict(orientation='h', x=0.3, y=-0.3),
+                  # height=800, width=800,
+                  margin=dict(b=0)
                   )
 
     fig = go.Figure(data=data, layout=layout)

code/setups/applying-fixpoints.py

@@ -32,7 +32,7 @@ def count(counters, net, notable_nets=[]):
 
 if __name__ == '__main__':
 
-    with Experiment('training_fixpoint') as exp:
+    with Experiment('applying_fixpoint') as exp:
         exp.trials = 50
         exp.run_count = 100
         exp.epsilon = 1e-4

code/setups/experiments/exp-mixed-soup-_1552674483.9866457-0/log.txt

@@ -1,8 +0,0 @@
-TrainingNeuralNetworkDecorator activiation='linear' use_bias=False
-{'xs': [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 'ys': [0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0], 'zs': [0.0, 0.0, 0.7, 1.9, 3.6, 4.3, 6.0, 6.1, 8.3, 7.7, 8.8]}
-
-
-TrainingNeuralNetworkDecorator activiation='linear' use_bias=False
-{'xs': [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 'ys': [0.8, 0.4, 0.4, 0.3, 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.3], 'zs': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}
-
-