Release v0.7.0

[gueniai]

• Let make_serving_endpoint reference a valid model version (#106). The make_serving_endpoint fixture in the ml.py file has been updated to reference a valid model version, as the previous approach of using a model version of '1' no longer worked due to an issue with the make_model fixture. The updated fixture now falls back on a UC model version and allows users to provide input parameters to specify a different model or version. Optional parameters for the endpoint name, model name, and model version have been added, with default values set for each. Two new tests, test_make_serving_endpoint_no_args(), test_make_serving_endpoint_sets_default_model_version_to_one(), and test_make_serving_endpoint_sets_model_version(), have been included, with a call_context_setup parameter to modify the behavior of the Model Registry API for unit testing. The remove function has been updated to delete a specified endpoint, and a create function has been added to handle the creation of a Databricks Serving Endpoint, including creating a model to serve on a small workload size. This update addresses issues related to the missing model version in the make_model fixture and ensures that the make_serving_endpoint fixture can handle different scenarios and inputs for selecting a model version, providing a more robust and flexible testing experience.

[github-actions]

✅ 41/41 passed, 5 skipped, 22m5s total

_{Running from acceptance #186}

[gueniai]

Closing because commits are not signed