Kedro is an open-sourced Python framework for creating maintainable and modular data science code.

Kedro

Hi Team!
I’m trying to upload via Kedro MLFLow some models as MLFlow artifacts to a pod, and I’m struggling to set the `PipelineML` pipeline. Does anyone have experience with this or suggestions on how to implement it? Thanks in advance!

Hi @*Giuseppe Ughi* :slightly_smiling_face:
Since you question is related to `kedro-mlflow` I’ve taken the liberty to forward your question in the channel dedicated to <#C03RKPCLYGY|>
Regards
M

(@ everyone else in the kedro team: I hope that I’ve not been “too pro-active” :sweat_smile:  )

Have you tried this tutorial? I'd be happy to answer questions if things are not clear.
 <https://github.com/Galileo-Galilei/kedro-mlflow-tutorial|https://github.com/Galileo-Galilei/kedro-mlflow-tutorial>

This is not recommended to use the PipelineML class directly, use the pipeline_ml_factory if necessary.