Python client for MLflow REST API

Python client for MLflow REST API.
Features:
- Minimal dependencies
- Unlike MLflow Tracking client
all REST API methods and params are exposed to user. - MLflow URL is passed via constructor argument instead of env variable,
so multiple client instances could be created in the same Python interpreter. - Basic and Bearer auth are supported (via constructor args too).
- All class fields are validated with pydantic.
- All methods and classes are documented.
Limitations:
- There is no integration with ML frameworks and