Deployed a signature extraction tool on GCE. Running the sample code below causes an error regarding a classifier’s decision function. Do I need extra training?
from sign_extractor import extract_signature
msg_text = """Thank you, Bob, for your support.
Warm regards,
Alice"""
preview, sign_part = extract_signature(msg_text, sender='[email protected]')
In my experience, the error regarding the classifier’s decision function usually indicates a mismatch between the expected model state and the classifier in use. I encountered similar issues when deploying on GCE, and it turned out that the underlying model had not been updated to match the sample code. I resolved it by verifying that the version and dependencies of the module were correct for the setup. It also helped to test with normalized message text, as formatting discrepancies can trigger such errors. In some cases, retraining may be necessary if the default classifier doesn’t align with your specific data characteristics.
Having experienced similar issues, it is likely that the error stems from an outdated or misconfigured model. In my case, verifying and updating the version of the sign_extractor module resolved several deployment issues. I had to rebuild the environment and ensure that all dependencies matched the expected versions of the classifier. Additionally, I observed that minor modifications in the message formatting or unexpected whitespace could impact the decision function. Training the classifier on your specific dataset may not be necessary, but aligning the model’s context to your situation proved to be an effective approach.