Good morning Please how can i create my own machine learning model with RASA?
This depends on what you want your model to do. Is it an entity extractor, intent classifier, a policy or something else?
It is an intent classifier
Thank you very much this is very helpful. It still just one thing where i have to pute this python code in my rasa project and how declare it?
You can implement your
CustomIntentClassifier inside your bot’s project directory: create a new file
my_component.py, say, in the project directory and implement your component in there. Then, in the
conig.yml file you can integrate this component like this:
pipeline: - name: WhitespaceTokenizer # ... - name: ContVectorsFeaturizer - name: my_components.CustomIntentClassifier
If you implement it in the rasa nlu examples repo instead, I think you can specify it as
- name: rasa_nlu_examples.classifiers.CustomIntentClassifier.