Mlmonitor

[1.0.16](https://pypi.org/project/mlmonitor/1.0.16/) released

- New version of factsheets client
- data_drift_scenarios for Sagemaker and Azure model

[1.0.12](https://pypi.org/project/mlmonitor/1.0.12/) released

- Churn model use case can be trained in WML.

Release on Pypi [1.0.11](https://pypi.org/project/mlmonitor/1.0.11/) including

- drift scenarios
- update factsheets client to v1.0.59

released on test Pypi [here](https://test.pypi.org/project/mlmonitor/1.0.7/)