def plot_accuracy(self):
accuracy = np.vstack((self.out_params['list_train_acc'],
self.out_params['list_val_acc']))
plot.plot_scores(accuracy, legend=['train_accuracy', 'validate_accuarcy'],
colors=['blue', 'green'], plot_title='Accuarcy of linear classifier',
plot_xlabel='No. of iterations', plot_ylabel='Accuracy',
plot_lib='matplotlib', matplotlib_style='default')
return True
def plot_loss(self):
loss = np.vstack((self.out_params['list_train_loss'],
self.out_params['list_val_loss']))
plot.plot_scores(loss, legend=['train_loss', 'validate_loss'],
colors=['blue', 'green'], plot_title='Loss of linear classifier',
plot_xlabel='No. of iterations', plot_ylabel='Loss',
plot_lib='matplotlib', matplotlib_style='default')
return True