UnboundLocalError: local variable 'data' referenced before assignment
rgstephens opened this issue · comments
Greg Stephens commented
Failure in cross_validation_results.py
here. Running under 3.0.8
.
When run locally, the intent_report.json
is generated.
Traceback (most recent call last):
File "/home/runner/work/_actions/RasaHQ/rasa-train-test-gha/main/scripts/cross_validation_results.py", line 70, in <module>
intents = intent_table()
File "/home/runner/work/_actions/RasaHQ/rasa-train-test-gha/main/scripts/cross_validation_results.py", line 20, in intent_table
data.pop("accuracy", None)
UnboundLocalError: local variable 'data' referenced before assignment
Error: Process completed with exit code 1.
Pipeline is auto-generated:
# 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: en
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
# 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