rasahq--rasa/data/test_config/graph_config.yml

# The config recipe.
# https://rasa.com/docs/rasa/model-configuration/
recipe: graph.v1

assistant_id: placeholder_default

language: en

nlu_target: run_RegexMessageHandler

core_target: select_prediction

train_schema:
  nodes:
    schema_validator:
      needs:
        importer: __importer__
      uses: rasa.graph_components.validators.default_recipe_validator.DefaultV1RecipeValidator
      constructor_name: create
      fn: validate
      config: {}
      eager: false
      is_target: false
      is_input: true
      resource: null
    finetuning_validator:
      needs:
        importer: schema_validator
      uses: rasa.graph_components.validators.finetuning_validator.FinetuningValidator
      constructor_name: create
      fn: validate
      config:
        validate_core: true
        validate_nlu: true
      eager: false
      is_target: false
      is_input: true
      resource: null
    nlu_training_data_provider:
      needs:
        importer: finetuning_validator
      uses: rasa.graph_components.providers.nlu_training_data_provider.NLUTrainingDataProvider
      constructor_name: create
      fn: provide
      config:
        language: en
        persist: false
      eager: false
      is_target: false
      is_input: true
      resource: null
    run_WhitespaceTokenizer0:
      needs:
        training_data: nlu_training_data_provider
      uses: rasa.nlu.tokenizers.whitespace_tokenizer.WhitespaceTokenizer
      constructor_name: load
      fn: process_training_data
      config: {}
      eager: false
      is_target: false
      is_input: false
      resource: null
    train_RegexFeaturizer1:
      needs:
        training_data: run_WhitespaceTokenizer0
      uses: rasa.nlu.featurizers.sparse_featurizer.regex_featurizer.RegexFeaturizer
      constructor_name: create
      fn: train
      config: {}
      eager: false
      is_target: true
      is_input: false
      resource: null
    run_RegexFeaturizer1:
      needs:
        training_data: run_WhitespaceTokenizer0
        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
    train_LexicalSyntacticFeaturizer2:
      needs:
        training_data: run_RegexFeaturizer1
      uses: rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer.LexicalSyntacticFeaturizer
      constructor_name: create
      fn: train
      config: {}
      eager: false
      is_target: true
      is_input: false
      resource: null
    run_LexicalSyntacticFeaturizer2:
      needs:
        training_data: run_RegexFeaturizer1
        resource: train_LexicalSyntacticFeaturizer2
      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
    train_CountVectorsFeaturizer3:
      needs:
        training_data: run_LexicalSyntacticFeaturizer2
      uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
      constructor_name: create
      fn: train
      config: {}
      eager: false
      is_target: true
      is_input: false
      resource: null
    run_CountVectorsFeaturizer3:
      needs:
        training_data: 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
    train_CountVectorsFeaturizer4:
      needs:
        training_data: run_CountVectorsFeaturizer3
      uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
      constructor_name: create
      fn: train
      config:
        analyzer: char_wb
        min_ngram: 1
        max_ngram: 4
      eager: false
      is_target: true
      is_input: false
      resource: null
    run_CountVectorsFeaturizer4:
      needs:
        training_data: 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
    train_DIETClassifier5:
      needs:
        training_data: run_CountVectorsFeaturizer4
      uses: rasa.nlu.classifiers.diet_classifier.DIETClassifier
      constructor_name: create
      fn: train
      config:
        epochs: 100
        constrain_similarities: true
      eager: false
      is_target: true
      is_input: false
      resource: null
    train_EntitySynonymMapper6:
      needs:
        training_data: run_CountVectorsFeaturizer4
      uses: rasa.nlu.extractors.entity_synonyms.EntitySynonymMapper
      constructor_name: create
      fn: train
      config: {}
      eager: false
      is_target: true
      is_input: false
      resource: null
    train_ResponseSelector7:
      needs:
        training_data: run_CountVectorsFeaturizer4
      uses: rasa.nlu.selectors.response_selector.ResponseSelector
      constructor_name: create
      fn: train
      config:
        epochs: 100
        constrain_similarities: true
      eager: false
      is_target: true
      is_input: false
      resource: null
    domain_provider:
      needs:
        importer: finetuning_validator
      uses: rasa.graph_components.providers.domain_provider.DomainProvider
      constructor_name: create
      fn: provide_train
      config: {}
      eager: false
      is_target: true
      is_input: true
      resource: null
    domain_for_core_training_provider:
      needs:
        domain: domain_provider
      uses: rasa.graph_components.providers.domain_for_core_training_provider.DomainForCoreTrainingProvider
      constructor_name: create
      fn: provide
      config: {}
      eager: false
      is_target: false
      is_input: true
      resource: null
    forms_provider:
      needs:
        domain: domain_provider
      uses: rasa.graph_components.providers.forms_provider.FormsProvider
      constructor_name: create
      fn: provide
      config: {}
      eager: false
      is_target: false
      is_input: true
      resource: null
    responses_provider:
      needs:
        domain: domain_provider
      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
      constructor_name: create
      fn: provide
      config:
        exclusion_percentage: null
      eager: false
      is_target: false
      is_input: true
      resource: null
    training_tracker_provider:
      needs:
        story_graph: story_graph_provider
        domain: domain_for_core_training_provider
      uses: rasa.graph_components.providers.training_tracker_provider.TrainingTrackerProvider
      constructor_name: create
      fn: provide
      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
      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
      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

predict_schema:
  nodes:
    nlu_message_converter:
      needs:
        messages: __message__
      uses: rasa.graph_components.converters.nlu_message_converter.NLUMessageConverter
      constructor_name: load
      fn: convert_user_message
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null
    run_WhitespaceTokenizer0:
      needs:
        messages: nlu_message_converter
      uses: rasa.nlu.tokenizers.whitespace_tokenizer.WhitespaceTokenizer
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null
    run_RegexFeaturizer1:
      needs:
        messages: run_WhitespaceTokenizer0
      uses: rasa.nlu.featurizers.sparse_featurizer.regex_featurizer.RegexFeaturizer
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_RegexFeaturizer1
    run_LexicalSyntacticFeaturizer2:
      needs:
        messages: run_RegexFeaturizer1
      uses: rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer.LexicalSyntacticFeaturizer
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_LexicalSyntacticFeaturizer2
    run_CountVectorsFeaturizer3:
      needs:
        messages: run_LexicalSyntacticFeaturizer2
      uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_CountVectorsFeaturizer3
    run_CountVectorsFeaturizer4:
      needs:
        messages: run_CountVectorsFeaturizer3
      uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
      constructor_name: load
      fn: process
      config:
        analyzer: char_wb
        min_ngram: 1
        max_ngram: 4
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_CountVectorsFeaturizer4
    run_DIETClassifier5:
      needs:
        messages: run_CountVectorsFeaturizer4
      uses: rasa.nlu.classifiers.diet_classifier.DIETClassifier
      constructor_name: load
      fn: process
      config:
        epochs: 100
        constrain_similarities: true
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_DIETClassifier5
    run_EntitySynonymMapper6:
      needs:
        messages: run_DIETClassifier5
      uses: rasa.nlu.extractors.entity_synonyms.EntitySynonymMapper
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_EntitySynonymMapper6
    run_ResponseSelector7:
      needs:
        messages: run_EntitySynonymMapper6
      uses: rasa.nlu.selectors.response_selector.ResponseSelector
      constructor_name: load
      fn: process
      config:
        epochs: 100
        constrain_similarities: true
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_ResponseSelector7
    run_FallbackClassifier8:
      needs:
        messages: run_ResponseSelector7
      uses: rasa.nlu.classifiers.fallback_classifier.FallbackClassifier
      constructor_name: load
      fn: process
      config:
        threshold: 0.3
        ambiguity_threshold: 0.1
      eager: true
      is_target: false
      is_input: false
      resource: null
    run_RegexMessageHandler:
      needs:
        messages: run_FallbackClassifier8
        domain: domain_provider
      uses: rasa.nlu.classifiers.regex_message_handler.RegexMessageHandler
      constructor_name: load
      fn: process
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null
    domain_provider:
      needs: {}
      uses: rasa.graph_components.providers.domain_provider.DomainProvider
      constructor_name: load
      fn: provide_inference
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: domain_provider
    run_MemoizationPolicy0:
      needs:
        domain: domain_provider
        tracker: __tracker__
        rule_only_data: rule_only_data_provider
      uses: rasa.core.policies.memoization.MemoizationPolicy
      constructor_name: load
      fn: predict_action_probabilities
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_MemoizationPolicy0
    run_RulePolicy1:
      needs:
        domain: domain_provider
        tracker: __tracker__
        rule_only_data: rule_only_data_provider
      uses: rasa.core.policies.rule_policy.RulePolicy
      constructor_name: load
      fn: predict_action_probabilities
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_RulePolicy1
    run_UnexpecTEDIntentPolicy2:
      needs:
        domain: domain_provider
        tracker: __tracker__
        rule_only_data: rule_only_data_provider
      uses: rasa.core.policies.unexpected_intent_policy.UnexpecTEDIntentPolicy
      constructor_name: load
      fn: predict_action_probabilities
      config:
        max_history: 5
        epochs: 100
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_UnexpecTEDIntentPolicy2
    run_TEDPolicy3:
      needs:
        domain: domain_provider
        tracker: __tracker__
        rule_only_data: rule_only_data_provider
      uses: rasa.core.policies.ted_policy.TEDPolicy
      constructor_name: load
      fn: predict_action_probabilities
      config:
        max_history: 5
        epochs: 100
        constrain_similarities: true
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_TEDPolicy3
    rule_only_data_provider:
      needs: {}
      uses: rasa.graph_components.providers.rule_only_provider.RuleOnlyDataProvider
      constructor_name: load
      fn: provide
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource:
        name: train_RulePolicy1
    select_prediction:
      needs:
        policy0: run_MemoizationPolicy0
        policy1: run_RulePolicy1
        policy2: run_UnexpecTEDIntentPolicy2
        policy3: run_TEDPolicy3
        domain: domain_provider
        tracker: __tracker__
      uses: rasa.core.policies.ensemble.DefaultPolicyPredictionEnsemble
      constructor_name: load
      fn: combine_predictions_from_kwargs
      config: {}
      eager: true
      is_target: false
      is_input: false
      resource: null