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config.yml
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config.yml
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recipe: default.v1
# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: ro
pipeline:
- name: SpacyNLP
# language model to load
model: "ro"
# when retrieving word vectors, this will decide if the casing
# of the word is relevant. E.g. `hello` and `Hello` will
# retrieve the same vector, if set to `False`. For some
# applications and models it makes sense to differentiate
# between these two words
case_sensitive: False
- name: SpacyTokenizer
- name: LanguageModelFeaturizer
model_name: "bert"
model_weights: "readerbench/RoBERT-large"
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
analyzer: word
- name: CountVectorsFeaturizer
analyzer: char_wb
min_ngram: 2
max_ngram: 5
- name: components.syntactic_parser.SyntacticParser
- name: RegexEntityExtractor
# Domain Classifier for detecting the microworld
- name: components.domain_classifier.DomainClassifier
epochs: 200
entity_recognition: False
number_of_transformer_layers: 3
- name: components.syntactic_featurizer_dense.SyntacticFeaturizer
# Classifier for detecting the microworld-specific intent and entities
- name: components.microworld_classifier.MicroworldClassifier
microworlds:
generic:
epochs: 300
university_guide:
epochs: 300
mem_assistant:
epochs: 300
number_of_transformer_layers: 3
- name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100
- name: FallbackClassifier
threshold: 0.2
ambiguity_threshold: 0.1
# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
- name: MemoizationPolicy
- name: TEDPolicy
max_history: 5
epochs: 100
- name: RulePolicy
core_fallback_threshold: 0.3
core_fallback_action_name: utter_unknown