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Update config.yml
Browse files- config.yml +50 -50
config.yml
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# The config recipe.
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# https://rasa.com/docs/rasa/model-configuration/
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recipe: default.v1
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# The assistant project unique identifier
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# This default value must be replaced with a unique assistant name within your deployment
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assistant_id: 20250212-115715-quantum-mainmast
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# Configuration for Rasa NLU.
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# https://rasa.com/docs/rasa/nlu/components/
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language: en
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pipeline:
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# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
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# # If you'd like to customize it, uncomment and adjust the pipeline.
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# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
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# - name: CountVectorsFeaturizer
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# analyzer: char_wb
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# min_ngram: 1
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# max_ngram: 4
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# - name: DIETClassifier
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# epochs: 100
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# constrain_similarities: true
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# - name: EntitySynonymMapper
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# - name: ResponseSelector
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# epochs: 100
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# constrain_similarities: true
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# - name: FallbackClassifier
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# threshold: 0.3
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# ambiguity_threshold: 0.1
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# Configuration for Rasa Core.
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# https://rasa.com/docs/rasa/core/policies/
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policies: null
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# # No configuration for policies was provided. The following default policies were used to train your model.
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# # If you'd like to customize them, uncomment and adjust the policies.
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# # See https://rasa.com/docs/rasa/policies for more information.
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# - name: MemoizationPolicy
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# - name: RulePolicy
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# - name: UnexpecTEDIntentPolicy
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# max_history: 5
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# epochs: 100
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# - name: TEDPolicy
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# max_history: 5
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# epochs: 100
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# constrain_similarities: true
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# The config recipe.
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# https://rasa.com/docs/rasa/model-configuration/
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recipe: default.v1
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# The assistant project unique identifier
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# This default value must be replaced with a unique assistant name within your deployment
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assistant_id: 20250212-115715-quantum-mainmast
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# Configuration for Rasa NLU.
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# https://rasa.com/docs/rasa/nlu/components/
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language: en
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pipeline:
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# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
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# # If you'd like to customize it, uncomment and adjust the pipeline.
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# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
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- name: WhitespaceTokenizer
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- name: RegexFeaturizer
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- name: LexicalSyntacticFeaturizer
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- name: CountVectorsFeaturizer
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# - name: CountVectorsFeaturizer
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# analyzer: char_wb
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# min_ngram: 1
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# max_ngram: 4
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# - name: DIETClassifier
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# epochs: 100
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# constrain_similarities: true
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# - name: EntitySynonymMapper
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# - name: ResponseSelector
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# epochs: 100
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# constrain_similarities: true
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# - name: FallbackClassifier
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# threshold: 0.3
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# ambiguity_threshold: 0.1
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# Configuration for Rasa Core.
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# https://rasa.com/docs/rasa/core/policies/
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policies: null
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# # No configuration for policies was provided. The following default policies were used to train your model.
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# # If you'd like to customize them, uncomment and adjust the policies.
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# # See https://rasa.com/docs/rasa/policies for more information.
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# - name: MemoizationPolicy
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# - name: RulePolicy
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# - name: UnexpecTEDIntentPolicy
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# max_history: 5
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# epochs: 100
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# - name: TEDPolicy
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# max_history: 5
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# epochs: 100
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# constrain_similarities: true
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