Creating MLflow expirements within Databricks

[DaanRademaker]

Databricks workspaces have a instance of mlflow running. There are two levels of this api:

1. Databricks only api:
   https://docs.databricks.com/dev-tools/api/latest/mlflow.html
   This part is not part of the open-source Mlflow package but can be used for some unique features of the mlflow experience within Databricks.

2. The opensource mlflow part of the API. This is documented here:
   https://www.mlflow.org/docs/latest/rest-api.html#create-experiment

Calling the mlflow api has the same endpoint as the databricks only features.
I want to create experiments using cdk in Databricks, would it be ok to build this feature into databricks-cdk package?

[DaanRademaker]

I have created this feature on my fork. Curious to see what you think.
#817