Open divilian opened 2 years ago
In essence, we will do this:
new_threads = stem(the_new_threads_to_classify)
classifier = get_classifier(trainingData, trainingLabels)
results = classifier.predict(get_features(
encode_features(new_threads), new_threads, False, False,
False, False,True))
Actually make this a method that can be called.
And make it modularly callable from anything, so it can be used in creating the MG™, among other things.