This was originally posted by @dingusagar on this thread about our experimental end-to-end architecture. I am copying it here to keep conversations separate.
was trying out this feature, but got an error during the training stage of rasa core
File "/media/dingusagar/rasa_2_8/lib/python3.7/site-packages/rasa/core/featurizers/tracker_featurizers.py", line 960, in <listcomp>
[domain.intents.index(intent) for intent in tracker_intents]
ValueError: 'my order is late' is not in list
My stories look like this :
- story: Order late steps:
- user: “my order is late”
- action: utter_sorry_to_hear
I am using rasa 2.8, the config is the default one in rasa 2.8. from the error i feel like the user utterance is treated like an intent and its complaining that such intent is not present. Could someone help me understand what am i doing wrong.
the config is the default one in rasa 2.8. no changes made to it.
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 constrain_similarities: true
- name: EntitySynonymMapper
- name: ResponseSelector epochs: 100 constrain_similarities: true
- name: FallbackClassifier threshold: 0.3 ambiguity_threshold: 0.1
policies:
- name: MemoizationPolicy
- name: RulePolicy
- name: UnexpecTEDIntentPolicy max_history: 5 epochs: 100
- name: TEDPolicy max_history: 5 epochs: 100 constrain_similarities: true