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Intents not as per expectation
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post by rah_pandey on Feb 22, 2021
Hi Need help n understanding how to understand why a new sentence shows a particular intent.
I have trained data for six intents
I got a sentence such as "yes no yes ok "
I ended up getting deny as the intent.yes, ok are all in affirm training set.
Why is the model giving extra weightage to the “no”. Is it loading some embeddings? I am using the following pipeline
Any help would be great…
Configuration for Rasa NLU.
language: en
pipeline:
- name: WhitespaceTokenizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer
analyzer: “char_wb”
min_ngram: 1
max_ngram: 4 - name: DIETClassifier
epochs: 100 - name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100
Configuration for Rasa Core.
policies:
- name: MemoizationPolicy
- name: TEDPolicy
max_history: 5
epochs: 100 - name: MappingPolicy