wehub-resource-sync
dc6079821b
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393 lines
11 KiB
YAML
393 lines
11 KiB
YAML
nodes:
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|
schema_validator:
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needs:
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importer: __importer__
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|
uses: rasa.graph_components.validators.default_recipe_validator.DefaultV1RecipeValidator
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|
constructor_name: create
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|
fn: validate
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|
config: {}
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|
eager: false
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|
is_target: false
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|
is_input: true
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|
resource: null
|
|
finetuning_validator:
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|
needs:
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|
importer: schema_validator
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|
uses: rasa.graph_components.validators.finetuning_validator.FinetuningValidator
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constructor_name: create
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fn: validate
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|
config:
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validate_core: true
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|
validate_nlu: true
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eager: false
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|
is_target: false
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is_input: true
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resource: null
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nlu_training_data_provider:
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|
needs:
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|
importer: finetuning_validator
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uses: rasa.graph_components.providers.nlu_training_data_provider.NLUTrainingDataProvider
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constructor_name: create
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fn: provide
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config:
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language: en
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persist: false
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eager: false
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is_target: false
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is_input: true
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resource: null
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|
run_WhitespaceTokenizer0:
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needs:
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training_data: nlu_training_data_provider
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uses: rasa.nlu.tokenizers.whitespace_tokenizer.WhitespaceTokenizer
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constructor_name: load
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fn: process_training_data
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config: {}
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eager: false
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is_target: false
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is_input: false
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resource: null
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train_RegexFeaturizer1:
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needs:
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training_data: run_WhitespaceTokenizer0
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uses: rasa.nlu.featurizers.sparse_featurizer.regex_featurizer.RegexFeaturizer
|
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constructor_name: create
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fn: train
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config: {}
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eager: false
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is_target: true
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is_input: false
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resource: null
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run_RegexFeaturizer1:
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needs:
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training_data: run_WhitespaceTokenizer0
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resource: train_RegexFeaturizer1
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uses: rasa.nlu.featurizers.sparse_featurizer.regex_featurizer.RegexFeaturizer
|
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constructor_name: load
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fn: process_training_data
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config: {}
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eager: false
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is_target: false
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is_input: false
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resource: null
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train_LexicalSyntacticFeaturizer2:
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needs:
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training_data: run_RegexFeaturizer1
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uses: rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer.LexicalSyntacticFeaturizer
|
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constructor_name: create
|
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fn: train
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config: {}
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eager: false
|
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is_target: true
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is_input: false
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resource: null
|
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run_LexicalSyntacticFeaturizer2:
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needs:
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training_data: run_RegexFeaturizer1
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resource: train_LexicalSyntacticFeaturizer2
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uses: rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer.LexicalSyntacticFeaturizer
|
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constructor_name: load
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fn: process_training_data
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config: {}
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eager: false
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is_target: false
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is_input: false
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resource: null
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train_CountVectorsFeaturizer3:
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needs:
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training_data: run_LexicalSyntacticFeaturizer2
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uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
|
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constructor_name: create
|
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fn: train
|
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config: {}
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eager: false
|
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is_target: true
|
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is_input: false
|
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resource: null
|
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run_CountVectorsFeaturizer3:
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needs:
|
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training_data: run_LexicalSyntacticFeaturizer2
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resource: train_CountVectorsFeaturizer3
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uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
|
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constructor_name: load
|
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fn: process_training_data
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config: {}
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eager: false
|
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is_target: false
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is_input: false
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resource: null
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train_CountVectorsFeaturizer4:
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needs:
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training_data: run_CountVectorsFeaturizer3
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uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
|
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constructor_name: create
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fn: train
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config:
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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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eager: false
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is_target: true
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is_input: false
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resource: null
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run_CountVectorsFeaturizer4:
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needs:
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training_data: run_CountVectorsFeaturizer3
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resource: train_CountVectorsFeaturizer4
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uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
|
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constructor_name: load
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fn: process_training_data
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config:
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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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eager: false
|
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is_target: false
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is_input: false
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resource: null
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train_DIETClassifier5:
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needs:
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training_data: run_CountVectorsFeaturizer4
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uses: rasa.nlu.classifiers.diet_classifier.DIETClassifier
|
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constructor_name: create
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fn: train
|
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config:
|
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epochs: 100
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constrain_similarities: true
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eager: false
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is_target: true
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is_input: false
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resource: null
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train_EntitySynonymMapper6:
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needs:
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training_data: run_CountVectorsFeaturizer4
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uses: rasa.nlu.extractors.entity_synonyms.EntitySynonymMapper
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constructor_name: create
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fn: train
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config: {}
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eager: false
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is_target: true
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is_input: false
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resource: null
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train_ResponseSelector7:
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|
needs:
|
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training_data: run_CountVectorsFeaturizer4
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uses: rasa.nlu.selectors.response_selector.ResponseSelector
|
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constructor_name: create
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fn: train
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config:
|
|
epochs: 100
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constrain_similarities: true
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eager: false
|
|
is_target: true
|
|
is_input: false
|
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resource: null
|
|
domain_provider:
|
|
needs:
|
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importer: finetuning_validator
|
|
uses: rasa.graph_components.providers.domain_provider.DomainProvider
|
|
constructor_name: create
|
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fn: provide_train
|
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config: {}
|
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eager: false
|
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is_target: true
|
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is_input: true
|
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resource: null
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domain_for_core_training_provider:
|
|
needs:
|
|
domain: domain_provider
|
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uses: rasa.graph_components.providers.domain_for_core_training_provider.DomainForCoreTrainingProvider
|
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constructor_name: create
|
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fn: provide
|
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config: {}
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eager: false
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is_target: false
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is_input: true
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resource: null
|
|
forms_provider:
|
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needs:
|
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domain: domain_provider
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uses: rasa.graph_components.providers.forms_provider.FormsProvider
|
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constructor_name: create
|
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fn: provide
|
|
config: {}
|
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eager: false
|
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is_target: false
|
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is_input: true
|
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resource: null
|
|
responses_provider:
|
|
needs:
|
|
domain: domain_provider
|
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uses: rasa.graph_components.providers.responses_provider.ResponsesProvider
|
|
constructor_name: create
|
|
fn: provide
|
|
config: {}
|
|
eager: false
|
|
is_target: false
|
|
is_input: true
|
|
resource: null
|
|
story_graph_provider:
|
|
needs:
|
|
importer: finetuning_validator
|
|
uses: rasa.graph_components.providers.story_graph_provider.StoryGraphProvider
|
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constructor_name: create
|
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fn: provide
|
|
config:
|
|
exclusion_percentage: null
|
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eager: false
|
|
is_target: false
|
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is_input: true
|
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resource: null
|
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training_tracker_provider:
|
|
needs:
|
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story_graph: story_graph_provider
|
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domain: domain_for_core_training_provider
|
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uses: rasa.graph_components.providers.training_tracker_provider.TrainingTrackerProvider
|
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constructor_name: create
|
|
fn: provide
|
|
config: {}
|
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eager: false
|
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is_target: false
|
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is_input: false
|
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resource: null
|
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story_to_nlu_training_data_converter:
|
|
needs:
|
|
story_graph: story_graph_provider
|
|
domain: domain_for_core_training_provider
|
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uses: rasa.core.featurizers.precomputation.CoreFeaturizationInputConverter
|
|
constructor_name: create
|
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fn: convert_for_training
|
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config: {}
|
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eager: false
|
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is_target: false
|
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is_input: true
|
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resource: null
|
|
e2e_run_WhitespaceTokenizer0:
|
|
needs:
|
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training_data: story_to_nlu_training_data_converter
|
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uses: rasa.nlu.tokenizers.whitespace_tokenizer.WhitespaceTokenizer
|
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constructor_name: load
|
|
fn: process_training_data
|
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config: {}
|
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eager: false
|
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is_target: false
|
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is_input: false
|
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resource: null
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e2e_run_RegexFeaturizer1:
|
|
needs:
|
|
training_data: e2e_run_WhitespaceTokenizer0
|
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resource: train_RegexFeaturizer1
|
|
uses: rasa.nlu.featurizers.sparse_featurizer.regex_featurizer.RegexFeaturizer
|
|
constructor_name: load
|
|
fn: process_training_data
|
|
config: {}
|
|
eager: false
|
|
is_target: false
|
|
is_input: false
|
|
resource: null
|
|
e2e_run_LexicalSyntacticFeaturizer2:
|
|
needs:
|
|
training_data: e2e_run_RegexFeaturizer1
|
|
resource: train_LexicalSyntacticFeaturizer2
|
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uses: rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer.LexicalSyntacticFeaturizer
|
|
constructor_name: load
|
|
fn: process_training_data
|
|
config: {}
|
|
eager: false
|
|
is_target: false
|
|
is_input: false
|
|
resource: null
|
|
e2e_run_CountVectorsFeaturizer3:
|
|
needs:
|
|
training_data: e2e_run_LexicalSyntacticFeaturizer2
|
|
resource: train_CountVectorsFeaturizer3
|
|
uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
|
|
constructor_name: load
|
|
fn: process_training_data
|
|
config: {}
|
|
eager: false
|
|
is_target: false
|
|
is_input: false
|
|
resource: null
|
|
e2e_run_CountVectorsFeaturizer4:
|
|
needs:
|
|
training_data: e2e_run_CountVectorsFeaturizer3
|
|
resource: train_CountVectorsFeaturizer4
|
|
uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
|
|
constructor_name: load
|
|
fn: process_training_data
|
|
config:
|
|
analyzer: char_wb
|
|
min_ngram: 1
|
|
max_ngram: 4
|
|
eager: false
|
|
is_target: false
|
|
is_input: false
|
|
resource: null
|
|
end_to_end_features_provider:
|
|
needs:
|
|
messages: e2e_run_CountVectorsFeaturizer4
|
|
uses: rasa.core.featurizers.precomputation.CoreFeaturizationCollector
|
|
constructor_name: create
|
|
fn: collect
|
|
config: {}
|
|
eager: false
|
|
is_target: false
|
|
is_input: false
|
|
resource: null
|
|
train_MemoizationPolicy0:
|
|
needs:
|
|
training_trackers: training_tracker_provider
|
|
domain: domain_for_core_training_provider
|
|
uses: rasa.core.policies.memoization.MemoizationPolicy
|
|
constructor_name: create
|
|
fn: train
|
|
config: {}
|
|
eager: false
|
|
is_target: true
|
|
is_input: false
|
|
resource: null
|
|
train_RulePolicy1:
|
|
needs:
|
|
training_trackers: training_tracker_provider
|
|
domain: domain_for_core_training_provider
|
|
uses: rasa.core.policies.rule_policy.RulePolicy
|
|
constructor_name: create
|
|
fn: train
|
|
config: {}
|
|
eager: false
|
|
is_target: true
|
|
is_input: false
|
|
resource: null
|
|
train_UnexpecTEDIntentPolicy2:
|
|
needs:
|
|
training_trackers: training_tracker_provider
|
|
domain: domain_for_core_training_provider
|
|
precomputations: end_to_end_features_provider
|
|
uses: rasa.core.policies.unexpected_intent_policy.UnexpecTEDIntentPolicy
|
|
constructor_name: create
|
|
fn: train
|
|
config:
|
|
max_history: 5
|
|
epochs: 100
|
|
eager: false
|
|
is_target: true
|
|
is_input: false
|
|
resource: null
|
|
train_TEDPolicy3:
|
|
needs:
|
|
training_trackers: training_tracker_provider
|
|
domain: domain_for_core_training_provider
|
|
precomputations: end_to_end_features_provider
|
|
uses: rasa.core.policies.ted_policy.TEDPolicy
|
|
constructor_name: create
|
|
fn: train
|
|
config:
|
|
max_history: 5
|
|
epochs: 100
|
|
constrain_similarities: true
|
|
eager: false
|
|
is_target: true
|
|
is_input: false
|
|
resource: null
|