Data Science, Machine Learning, Artificial Intelligence, Technology, Stock Market.
dtype=torch.float32) # Step 3: Make predictions model.eval() new_predictions = model(X_new_tensor).detach().numpy() new_predictions_actual = scaler.inverse_transform(new_predictions) # Step 4: Evaluate the Model plt.figure(figsize=(15, 5)) plt.plot(scaler.inverse_transform(y_new_actual),