chore: import upstream snapshot with attribution

docs/api_reference/source/python_api/index.rst

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+.. _python-api:
+
+Python API
+==========
+
+The MLflow Python API is organized into the following modules. The most common functions are
+exposed in the :py:mod:`mlflow` module, so we recommend starting there.
+
+.. toctree::
+  :glob:
+  :maxdepth: 1
+
+  *
+
+
+See also the :ref:`index of all functions and classes<genindex>`.
+
+Log Levels
+----------
+
+MLflow Python APIs log information during execution using the Python Logging API. You can 
+configure the log level for MLflow logs using the following code snippet. Learn more about Python
+log levels at the
+`Python language logging guide <https://docs.python.org/3/howto/logging.html>`_.
+
+.. code-block:: python
+
+    import logging
+
+    logger = logging.getLogger("mlflow")
+
+    # Set log level to debugging
+    logger.setLevel(logging.DEBUG)