MLFlow - v1.18.0

MLflow 1.18.0 includes the following features and improvements:

Features:

• Autologging performance improvements for XGBoost, LightGBM, and scikit-learn (#4416, #4473, @dbczumar)
• Add new PaddlePaddle flavor to MLflow Models (#4406, #4439, @jinminhao)
• Introduce paginated ListExperiments API (#3881, @wamartin-aml)
• Include Runtime version for MLflow Models logged on Databricks (#4421, @stevenchen-db)
• MLflow Models now log dependencies in pip requirements.txt format, in addition to existing conda format (#4409, #4422, @stevenchen-db)
• Add support for limiting the number child runs created by autologging for scikit-learn hyperparameter search models (#4382, @mohamad-arabi)
• Improve artifact upload / download performance on Databricks (#4260, @dbczumar)
• Migrate all model dependencies from conda to "pip" section (#4393, @WeichenXu123)

Bug fixes and documentation updates:

• Fix an MLflow UI bug that caused git source URIs to be rendered improperly (#4403, @takabayashi)
• Fix a bug that prevented reloading of MLflow Models based on the TensorFlow SavedModel format (#4223) (#4319, @saschaschramm)
• Fix a bug in the behavior of KubernetesSubmittedRun.get_status() for Kubernetes MLflow Project runs (#3962) (#4159, @jcasse)
• Fix a bug in TLS verification for MLflow artifact operations on S3 (#4047, @PeterSulcs)
• Fix a bug causing the MLflow server to crash after deletion of the default experiment (#4352, @asaf400)
• Fix a bug causing mlflow models serve to crash on Windows 10 (#4377, @simonvanbernem)
• Fix a crash in runs search when ordering by metric values against the MSSQL backend store (#2551) (#4238, @naor2013)
• Fix an autologging incompatibility issue with TensorFlow 2.5 (#4371, @dbczumar)
• Fix a bug in the disable_for_unsupported_versions autologging argument that caused library versions to be incorrectly compared (#4303, @WeichenXu123)

Small bug fixes and doc updates (#4405, @mohamad-arabi; #4455, #4461, #4459, #4464, #4453, #4444, #4449, #4301, #4424, #4418, #4417, #3759, #4398, #4389, #4386, #4385, #4384, #4380, #4373, #4378, #4372, #4369, #4348, #4364, #4363, #4349, #4350, #4174, #4285, #4341, @harupy; #4446, @kHarshit; #4471, @AveshCSingh; #4435, #4440, #4368, #4360, @WeichenXu123; #4431, @apurva-koti; #4428, @stevenchen-db; #4467, #4402, #4261, @dbczumar)