`kedro mlflow` question My pipeline can train models for dif

Question

`kedro mlflow` question My pipeline can train models for different clients these are deployed separately If i want to use kedro mlflow to train and deploy all the models in one go using the `pipeline ml factory` see <https kedro mlflow readthedocs io en stable source 05 pipeline serving 04 hook pipeline ml html> should i make sure to train one model per kedro run or can i have multiple `pipeline ml factory` and filter on two sets of tags training and client name

Juan Luis · Answer

your `register pipelines` can register several pipelines < Hugo Evers> it would be a matter of calling `pipeline ml factory` more than once if that s what you want cc ing < Yolan Honoré Rougé> in case I m missing something

Hugo Evers · Answer

yea i was thinking about how the prediction pipelines are isolated so that could be on a run basis in which case id specify a global to switch between client models or on a pipeline basis so every pipeline can only train one model

Hugo Evers · Answer

in the context of kedro mlflow pipeline serving