I am using Part 2, Lesson 10 ULMFit concept to classify text. However, unlike IMDB data, I have 4 classes. I have an evaluation set for which I have no label. My end goal is to run the trained classifier on this evaluation set. My question is
- after the
learner.fit()step how to go for prediction? I mean will
learner.predict()work? What’s the syntax?
- How to feed the evaluation data into the
learner.predict()and get the corresponding label?
In the lesson, the
learner.predict() is not used at the end. So I am looking for the correct syntax for predicting the text label with the trained learner.
It will be really helpful for me if someone can point me to the right resource.