Enhacing Rasa NLU models with Custom Components

@Baval in this blog it’s not describing how to train a model in custom component. He makes his is trained = False., I have implemented a custom component of sentiment analyzer, but I am confused that in which category I should mentioned it like in Tokenizer or classifier where should I put this component in config.yml pipeline.

Use

replace your training_data to training_data.intent_examples

with open(‘labels.txt’, ‘r’) as f: labels = f.read().splitlines() texts = [e.get(TEXT) for e in training_data.intent_examples if e.get(TEXT)]