CLI training "Can't find factory"

[cos-nho]

I created a pipeline using Python and the nlp.add_pipe() for a spancat and custom_component. loaded it to disk using the nlp.to_disk() function and then using the generated config file from this which can be seen below.

I am running this code block in a Jupyter Notebook using VS Code:
%%python -m spacy train verisma_model/config.cfg --output training/
--code custom_components.py
--paths.train corpus/train.spacy --paths.dev corpus/eval.spacy
--training.eval_frequency 10
--training.patience 100
--gpu-id -1
--system.seed 0

I get this error: ValueError: [E002] Can't find factory for 'custom_sensitivity_confidence_scorer' for language English (en). This usually happens when spaCy calls nlp.create_pipe with a custom component name that's not registered on the current language class. If you're using a Transformer, make sure to install 'spacy-transformers'. If you're using a custom component, make sure you've added the decorator @Language.component (for function components) or @Language.factory (for class components).

This is my custom_components.py:

And this is my config file pertaining to the custom_component:

Anyone understand why I am getting this error and how to fix it.

[cos-nho]

figured out my issue needed to add training paths to config file and the --code worked after that