'rasa_nlu: Failed to find component class, unknown component name at runtime
I'm working on building a dynamic rasa model trainer, but am having an issue where the pipeline components are not being accessible at runtime. NOTE: I can run
rasa train
from the commandline with the same config.yml and nlu.md file and it builds just fine, but if I try to train it at runtime in the same project, I get missing components. I don't have any custom components - I'm only using the standard pipeline.
Exception: Failed to find component class for 'WhitespaceTokenizer'. Unknown component name.
Loading code:
from rasa_nlu.training_data import load_data
from rasa_nlu.config import RasaNLUModelConfig
from rasa_nlu.model import Trainer
from rasa_nlu import config
import yaml
def main():
train_data = load_data("data/nlu.md")
with open("./config.yml","r") as file:
nlu_config = yaml.safe_load(file)
trainer = Trainer(RasaNLUModelConfig(nlu_config))
interpreter = trainer.train(train_data)
My requirements.txt file:
wheel
rasa
rasa_nlu
tokens
spacy
nltk
numpy
My config.yml
recipe: default.v1
language: en
pipeline:
- name: WhitespaceTokenizer
- 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
policies:
- name: MemoizationPolicy
- name: TEDPolicy
max_history: 5
epochs: 100
- name: RulePolicy
Sources
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Source: Stack Overflow
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