| @@ -109,9 +109,15 @@ def final_plot(models,errors_test,arima_err): | |||
| y_true = np.concatenate((y_train,y_test)) | |||
| x_cut = np.arange(x_train.shape[0]+x_test.shape[0]) | |||
| print("----- ARIMA -----") | |||
| print() | |||
| print("----- ARIMA Test MSE -----") | |||
| orders_ARIMA = ["[2,1,1]","[2,2,1]","[3,1,1]","[2,1,2]"] | |||
| for k in range(len(orders_ARIMA)): | |||
| print("ARIMA"+orders_ARIMA[k]+" : "+str(arima_err[k])) | |||
| print("----- DNN Test MSE -----") | |||
| activations = ["ReLU","Swish","Sinus Cosinus","Sinus","Snake"] | |||
| for k in range(len(activations)): | |||
| print("DNN "+activations[k]+" : "+str(errors_test[k])) | |||
| plt.figure() | |||
| plt.plot(x_cut,y_true,label="True data") | |||
| plt.plot(x,future_preds,label="Predictions") | |||