Hello, I am using Rasa 3.0. I am trying to build a Rasa project with Spacy component in my pipeline, it is working fine in “normal” case, but when I try to train it with end-to-end story, it is throwing “raise GraphSchemaValidationException( rasa.engine.exceptions.GraphSchemaValidationException: Your model uses a component ‘SpacyNLP’ which needs the param ‘model’ to be provided to its method ‘process’. Please make sure that you registered your component correctly and and that your model configuration is valid.See Custom Graph Components for more information.”. I have provided the model and install it. My config is:
# The config recipe.
# https://rasa.com/docs/rasa/model-configuration/
recipe: default.v1
# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: bg
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: "SpacyNLP"
# language model to load
model: "bg_pipeline"
case_sensitive: False
- name: SpacyTokenizer
- name: SpacyEntityExtractor
- name: SpacyFeaturizer
pooling: mean
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer
analyzer: char_wb
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 100
- name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100
- name: FallbackClassifier
threshold: 0.3
ambiguity_threshold: 0.1
# 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: MemoizationPolicy
# - name: RulePolicy
# - name: UnexpecTEDIntentPolicy
# max_history: 5
# epochs: 100
# - name: TEDPolicy
# max_history: 5
# epochs: 100
# constrain_similarities: true
It is working with normal story, the issue appear only with end to end story. Please advice