Hi Team, recently I install rasa 1.8.4. And as per the documents, I have started using DietClassifier istead of EmbeddingsIntentClassifier. When I start running the rasa as a http server and parse a message. I only get one enitity in the output, that too with no confidence value. But when I run rasa shell nlu in the terminal, I get multiple entities for the same message with confidence values as well. Any idea why Rasa is acting like this or I am doing any mistake from my end ?
Hi @anirbankar983,
can you please post the content of your config.yml
such that we can check on that one?
If your data isn’t confidential, then a brief part of your nlu.md
would also be good, aswell as the corresponding story
.
Kind regards
Julian
Configuration for Rasa NLU.
Components
language: “en”
pipeline:
- name: “ConveRTTokenizer”
- name: “RegexFeaturizer”
- name: “ConveRTFeaturizer”
- name: “EntitySynonymMapper”
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer analyzer: “char_wb” min_ngram: 1 max_ngram: 4
- name: “DIETClassifier”
Configuration for Rasa Core.
Policies
policies:
- name: MemoizationPolicy
- name: TEDPolicy
- name: MappingPolicy
Sorry, I can’t post the nlu contents as it is confidential.