def plot_specific(model_names):
global model_manager
if model_manager == None:
results_path = '../results'
model_manager = ModelsManager(results_path)
for model_name in model_names:
if model_manager.has_model(model_name):
saved_model = model_manager.get_model(model_name)
plot_single(saved_model)
def plot_bar_chart_average_success(model_names):
global model_manager
if model_manager == None:
results_path = '../results'
model_manager = ModelsManager(results_path)
y_avg = []
y_max = []
formated_names = []
for model_name in model_names:
if model_manager.has_model(model_name):
saved_model = model_manager.get_model(model_name)
epoch, train, test = saved_model.session_stats()
avg_acc = np.mean(test)
max_acc = np.max(test)
y_avg.append(avg_acc)
y_max.append(max_acc)
formated_name = model_name.replace('conv_2_layer_', '').replace('_','\n')
formated_names.append(formated_name)
x = range(1,len(formated_names) + 1)
plt.plot(x, y_avg, 'go', label='average')
plt.plot(x, y_max, 'ro', label='max')
plt.xticks(x, formated_names) #, rotation='vertical'
plt.ylabel('average test accuracy')
plt.subplots_adjust(bottom=0.25)
plt.legend()