Hi Debayan - Thanks for your reply.

As mentioned, I used Databricks AutoML for forecasting. Env and dependencies created automatically. Although, In artifact path, after AutoML run, generates bellow config and there python version 3.9.5. But not sure in deployment log why it is trying to install Python 3.11.

artifact_path: model
databricks_runtime: 12.0.x-cpu-ml-scala2.12
flavors:
  python_function:
    cloudpickle_version: 2.0.0
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.pyfunc.model
    python_model: python_model.pkl
    python_version: 3.9.5
mlflow_version: 2.0.1
model_uuid: f757b91f3a9f4fdd844b9bb9c8ef375c
run_id: 7a62921b7909443bb58b4563d974c84f
signature:
  inputs: '[{"name": "Date", "type": "datetime"}]'
  outputs: '[{"name": "yhat", "type": "double"}]'