whylogs
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MLFlow integration: prediction monitoring
Breaking up #67.
Support monitoring python_function
model deployments
https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models
The implementation takes in a Pandas dataframe - we should be able to ingest them into WhyLogs.
Will require:
- Log rotation
- Storage configuration for Production mode (versus using the model artifact backend in batch mode)
Is there any progression on this? I'd like to see an example of prediction monitoring using whylogs with MLflow.
Update on this:
- We have log rotation
-
whylogs.yml
is not being bundled in the MLflow deployment. This is the blocker at the moment
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