pipeline:
# "supervised_embeddings"
- name: "WhitespaceTokenizer"
intent_tokenization_flag: true
intent_split_symbol: "+"
- name: "RegexFeaturizer"
- name: "CRFEntityExtractor"
- name: "EntitySynonymMapper"
- name: "CountVectorsFeaturizer"
- name: "CountVectorsFeaturizer"
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
- name: "EmbeddingIntentClassifier"
- name: ResponseSelector
policies:
- name: MemoizationPolicy
- name: KerasPolicy
- name: MappingPolicy
Why I’m getting the following error, what I’m doing wrong :
2019-11-01 14:38:36 INFO rasa.nlu.model - Starting to train component ResponseSelector
2019-11-01 14:38:36 ERROR rasa.nlu.classifiers.embedding_intent_classifier - Can not train a classifier. Need at least 2 different classes. Skipping training of classifier.
2019-11-01 14:38:36 INFO rasa.nlu.model - Finished training component.
2019-11-01 14:38:36 INFO rasa.nlu.model - Successfully saved model into '/tmp/tmpm1pb9sq0/nlu'
NLU model training completed.