Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
model_transformer.predict(X_test) performs predictions on the test data using your trained model. 4. Post-processing Predictions: y_pred_classes = np.argmax(y_pred, axis=2) assumes your model outputs probabilities for each class (neutral, long, short). This line converts the probabilities to class