I get the following error when I run rasa train nlu: File “/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/rasa/nlu/utils/spacy_utils.py”, line 97, in cache_key return cls.name + “-” + spacy_model_name TypeError: can only concatenate str (not “NoneType”) to str I have the following configuration: language: en pipeline: name: SpacyNLP name: SpacyTokenizer name: SpacyFeaturizer 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 name: SpacyTokenizer intent_tokenization_flag: True intent_split_symbol: “+” policies: # No configuration for policies was provided. The following default policies were used to train your model. # If you’d like to customize them, uncomment and adjust the policies. # See Policies for more information. name: AugmentedMemoizationPolicy name: UnexpecTEDIntentPolicy max_history: 5 epochs: 200 name: TEDPolicy max_history: None epochs: 200 constrain_similarities: true I am just getting started with this. I am watching the YouTube series and reading https://rasa.com/docs/ for both rasa open source and rasa x. I will appreciate your help.

Rasa train nlu error

nik202 (NiK202) October 19, 2021, 9:47am 8

@AzizDiallo Did you seen a complete post of mine or only command?

pipeline:
- name: "SpacyNLP"
  # language model to load
  model: "en_core_web_md"

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