additional tex

code/bar_plot.py

@@ -29,6 +29,7 @@ def plot_bars(names_bars_tuple, filename='histogram_plot'):
     # catagorical
     ryb = cl.scales['10']['div']['RdYlBu']
     names, bars = names_bars_tuple
+    names = ['Recurrent', 'Aggregating', 'Weightwise']# [name.split(' ')[0] for name in names]
     data_dict = {}
     for idx, name in enumerate(names):
         data_dict[name] = bars[idx]
@@ -44,11 +45,11 @@ def plot_bars(names_bars_tuple, filename='histogram_plot'):
         )
         data.append(bar)
 
-    layout = dict(title='{} Histogram Plot'.format('Learn Severity'),
-                  xaxis=dict(title="Learn Severity", tilefont=dict(size=25)),
-                  # barmode='stack'
+    layout = dict(xaxis=dict(title="Fixpoints", titlefont=dict(size=20)),
+                  barmode='stack',
                   # height=400, width=400,
                   # margin=dict(l=20, r=20, t=20, b=20)
+                  legend=dict(orientation="h", x=0.2)
                   )
 
     fig = go.Figure(data=data, layout=layout)
@@ -89,5 +90,5 @@ 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

@@ -28,7 +28,7 @@ def line_plot(names_exp_tuple, filename='lineplot'):
 
     names, line_dict_list = names_exp_tuple
 
-    names = "Weightwise Neural Network"
+    names = ['Weightwise', 'Aggregating', 'Recurrent']
 
     data = []
     base_scale = cl.scales['10']['div']['RdYlGn']
@@ -37,14 +37,16 @@ def line_plot(names_exp_tuple, filename='lineplot'):
         trace = go.Scatter(
             x=line_dict['xs'],
             y=line_dict['ys'],
-            # mode='lines',
-            name=names,
-            line=dict(color=scale[ld_id]),
+            name=names[ld_id],
+            line=dict(color=scale[ld_id],
+                      width=5),
         )
 
         data.append(trace)
 
-    layout = dict(title='{} Weight Wise Mixed '.format(''),
+    layout = dict(xaxis=dict(title='Trains per self-attack', titlefont=dict(size=20)),
+                  yaxis=dict(title='Average amount of fixpoints found', titlefont=dict(size=20)),
+                  legend=dict(orientation='h', x=0.2)
                   # height=800, width=800, margin=dict(l=0, r=0, t=0, b=0)
                   )
 

code/setups/experiments/exp-mixed-self-fixpoints-_1552658653.1189044-0/log.txt

@@ -1,4 +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, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 'zs': [0.0, 0.0, 0.6, 1.8, 2.7, 5.1, 5.8, 7.8, 8.5, 9.0, 8.8]}
-
-

code/setups/experiments/exp-mixed-self-fixpoints-_1552666977.5858653-0/log.txt

@@ -1,12 +0,0 @@
-WeightwiseNeuralNetwork activiation='linear' use_bias=False
-{'xs': [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500], 'ys': [0.2, 0.3, 0.15, 0.55, 0.7, 0.85, 0.8, 0.95, 0.9, 1.0, 1.0]}
-
-
-AggregatingNeuralNetwork activiation='linear' use_bias=False
-{'xs': [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500], 'ys': [1.0, 0.95, 1.0, 1.0, 0.95, 0.9, 0.8, 1.0, 0.85, 1.0, 0.9]}
-
-
-RecurrentNeuralNetwork activiation='linear' use_bias=False
-{'xs': [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500], 'ys': [0.05, 0.0, 0.05, 0.0, 0.0, 0.1, 0.1, 0.05, 0.1, 0.0, 0.0]}
-
-

code/setups/mixed-soup.py

@@ -54,7 +54,7 @@ def count(counters, soup, notable_nets=[]):
 
 if __name__ == '__main__':
 
-    with Experiment('mixed-self-fixpoints') as exp:
+    with Experiment('mixed-soup') as exp:
         exp.trials = 10
         exp.soup_size = 10
         exp.soup_life = 5