Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
model.predict(X_test_reshaped) y_pred = model_transformer.predict(X_test) # Perform any necessary post-processing on y_pred if needed # For example, if your model outputs probabilities, you might convert them to class labels using argmax: y_pred_classes = np.argmax(y_pred, axis=2) # Convert one-hot