How to log/register ML model with MLFlow, with the model items in specified folder in workspace

Thankyou, nilendraFabric, for your response.

Hi kipkc09,

We appreciate your inquiry through the Microsoft Fabric Community Forum.

In addition to the response provided by nilendraFabric , and to facilitate better workspace organization across projects, please find below some approaches that may help resolve the issue:

1. Prefix model names with project identifiers during registration.

   mlflow.register_model(model_uri, "ProjectA_Model_v1")

2. Use MLflow tags to organize and filter models.

   mlflow.set_tags({
   "project": "ProjectA",
   "team": "Analytics",
   "version": "v1.0"
   })

3. Create and log runs to separate experiments per project.

   mlflow.set_experiment("/ProjectA/ML_Experiments")

If you find our response helpful, kindly mark it as the accepted solution and provide kudos. This will assist other community members facing similar queries.

Thank you.