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/docs/docs/prototype-an-assistant.mdx @RasaHQ/atom-squad | ||
/.github/workflows/ @RasaHQ/infrastructure-squad | ||
/rasa/ @RasaHQ/atom-squad | ||
/rasa/core/featurizers/ @RasaHQ/research | ||
/rasa/core/policies/ @RasaHQ/research | ||
/rasa/core/featurizers/ @RasaHQ/core-ai-squad | ||
/rasa/core/policies/ @RasaHQ/core-ai-squad | ||
/rasa/core/policies/ensemble.py @RasaHQ/atom-squad | ||
/rasa/core/policies/policy.py @RasaHQ/atom-squad | ||
/rasa/core/policies/registry.py @RasaHQ/atom-squad | ||
/rasa/core/policies/__init__.py @RasaHQ/atom-squad | ||
/rasa/nlu/classifiers/ @RasaHQ/research | ||
/rasa/nlu/extractors/crf_entity_extractor.py @RasaHQ/research | ||
/rasa/nlu/extractors/extractor.py @RasaHQ/research | ||
/rasa/nlu/featurizers/ @RasaHQ/research | ||
/rasa/nlu/selectors/ @RasaHQ/research | ||
/rasa/nlu/tokenizers/ @RasaHQ/research | ||
/rasa/nlu/utils/ @RasaHQ/research | ||
/rasa/nlu/test.py @RasaHQ/research | ||
/rasa/shared/nlu/training_data/features.py @RasaHQ/research | ||
/rasa/shared/nlu/training_data/message.py @RasaHQ/research | ||
/rasa/shared/nlu/training_data/util.py @RasaHQ/atom-squad @RasaHQ/research | ||
/rasa/utils/plotting.py @RasaHQ/research | ||
/rasa/utils/train_utils.py @RasaHQ/research | ||
/rasa/utils/tensorflow/ @RasaHQ/research | ||
/rasa/nlu/classifiers/ @RasaHQ/core-ai-squad | ||
/rasa/nlu/extractors/crf_entity_extractor.py @RasaHQ/core-ai-squad | ||
/rasa/nlu/extractors/extractor.py @RasaHQ/core-ai-squad | ||
/rasa/nlu/featurizers/ @RasaHQ/core-ai-squad | ||
/rasa/nlu/selectors/ @RasaHQ/core-ai-squad | ||
/rasa/nlu/tokenizers/ @RasaHQ/core-ai-squad | ||
/rasa/nlu/utils/ @RasaHQ/core-ai-squad | ||
/rasa/nlu/test.py @RasaHQ/core-ai-squad | ||
/rasa/shared/nlu/training_data/features.py @RasaHQ/core-ai-squad | ||
/rasa/shared/nlu/training_data/message.py @RasaHQ/core-ai-squad | ||
/rasa/shared/nlu/training_data/util.py @RasaHQ/atom-squad @RasaHQ/core-ai-squad | ||
/rasa/utils/plotting.py @RasaHQ/core-ai-squad | ||
/rasa/utils/train_utils.py @RasaHQ/core-ai-squad | ||
/rasa/utils/tensorflow/ @RasaHQ/core-ai-squad |
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Add a new section in the `LockStore` docs and migration guide to inform about `ConcurrentRedisLockStore` new implementation. |
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Fixes regression in which slot mappings were prioritized according to reverse order as they were listed in the domain, instead of in order from first to last, as was implicitly expected in `2.x`. | ||
Clarifies this implicit priority order in the docs. |
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# The config recipe. | ||
# https://rasa.com/docs/rasa/model-configuration/ | ||
recipe: default.v1 | ||
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# Configuration for Rasa NLU. | ||
# https://rasa.com/docs/rasa/nlu/components/ | ||
language: en | ||
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pipeline: | ||
# 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. | ||
- name: WhitespaceTokenizer | ||
- name: RegexFeaturizer | ||
- name: LexicalSyntacticFeaturizer | ||
- name: CountVectorsFeaturizer | ||
- name: CountVectorsFeaturizer | ||
analyzer: char_wb | ||
min_ngram: 1 | ||
max_ngram: 4 | ||
- name: DIETClassifier | ||
epochs: 100 | ||
constrain_similarities: true | ||
- name: EntitySynonymMapper | ||
# - name: ResponseSelector | ||
# epochs: 100 | ||
# constrain_similarities: true | ||
# - name: FallbackClassifier | ||
# threshold: 0.3 | ||
# ambiguity_threshold: 0.1 | ||
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# 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 | ||
- name: RulePolicy | ||
# - name: UnexpecTEDIntentPolicy | ||
# max_history: 5 | ||
# epochs: 100 | ||
# - name: TEDPolicy | ||
# max_history: 5 | ||
# epochs: 100 | ||
# constrain_similarities: true |
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