Yes i will share it here
> Configuration for Rasa NLU.
> https://rasa.com/docs/rasa/nlu/components/
> language: da
>
>
> No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
> If you'd like to customize it, uncomment and adjust the pipeline.
> See https://rasa.com/docs/rasa/tuning-your-model for more information.
> pipeline:
> - name: SpacyNLP
> model: da_core_news_md
> - name: SpacyTokenizer
> - name: SpacyEntityExtractor
> - name: SpacyFeaturizer
> pooling: mean
> - name: CountVectorsFeaturizer
> analyzer: char_wb
> min_ngram: 1
> max_ngram: 2
> - name: DIETClassifier
> - name: FallbackClassifier
> threshold: 0.8
> ambiguity_threshold: 0.1
> epochs: 1
>
>
> Configuration for Rasa Core.
> https://rasa.com/docs/rasa/core/policies/
> 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 https://rasa.com/docs/rasa/policies for more information.
> - name: "AugmentedMemoizationPolicy"
> max_history: 10
> - name: TEDPolicy
> max_history: 5
> epochs: 100
> constrain_similarities: true
> - name: RulePolicy
> core_fallback_threshold: 0.4
> core_fallback_action_name: "action_default_fallback"
> enable_fallback_prediction: True