dineshdile
(DIleepkumar T)
1
I have created a config file as below
“language”:“en”,
“pipeline”:“spacy_sklearn”
Do I need to specify any other parameters additionally?
What is the difference between my config file and below one?
language: “en”
pipeline:
- name: “nlp_spacy”
- name: “tokenizer_spacy”
- name: “intent_entity_featurizer_regex”
- name: “intent_featurizer_spacy”
- name: “ner_crf”
- name: “ner_synonyms”
- name: “intent_classifier_sklearn”
I was not able to classify my intents as expected. I think issue is with stop words. Can I get some info on this also?
deepshet
(Deepak Shetty)
2
https://rasa.com/docs/nlu/pipeline/#section-pipeline
spacy_sklearn is a preconfigured pipeline and is the same as
language: “en”
pipeline:
- name: “nlp_spacy”
- name: “tokenizer_spacy”
- name: “intent_entity_featurizer_regex”
- name: “intent_featurizer_spacy”
- name: “ner_crf”
- name: “ner_synonyms”
- name: “intent_classifier_sklearn”
so its the same.
For the rest hard to say without any data.
The one you using is just a shortcut for a full list of components which you compared with.
You can get detail information about every component here.
Please share your training data then only we can comment about intent misclassification.