Cancer type prediction using an LSTM network

In the previous section, we have seen what our data (that is, features and labels) looks like. Now in this section, we try to classify those samples according to their labels. However, as we have seen, DL4J needs the data in a well-defined format so that it can be used to train the model. So let us perform the necessary preprocessing and feature engineering.