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Galileo-Galilei / kedro-mlflow-tutorial

A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and serve kedro pipeline
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catalog and pipeline_ml_factory have inconsistent artifact_path #17

Closed Galileo-Galilei closed 2 years ago

Galileo-Galilei commented 2 years ago

log_model_kwargs are passed to the pipeline_ml_factory function:

https://github.com/Galileo-Galilei/kedro-mlflow-tutorial/blob/67941e00c6a87dec3d2754291d86087ce5d0813b/src/kedro_mlflow_tutorial/pipeline_registry.py#L30-L38

But they are ignored by kedro-mlflow and we need to use the default values when retrieveing the model.

https://github.com/Galileo-Galilei/kedro-mlflow-tutorial/blob/67941e00c6a87dec3d2754291d86087ce5d0813b/conf/base/catalog.yml#L64

Once the issue is solved in kedro-mlflow, we should update it here.

Galileo-Galilei commented 2 years ago

Closed by 9e342f4f3d0cdc38ab8105a7282a6c2c6d961a48