MLflow - a platform for the machine learning lifecycle#

Spark NLP uses Spark MLlib Pipelines, what are natively supported by MLFlow. MLFlow is, as stated in their [official webpage](https://mlflow.org/), an open source platform for the machine learning lifecycle, that includes: * Mlflow Tracking: Record and query experiments: code, data, config, and results * MLflow Projects: Package data science code in a format to reproduce runs on any platform * MLflow Models: Deploy machine learning models in diverse serving environments * Model Registry: Store, annotate, discover, and manage models in a central repository

For more information, please see the complete guide at Experiment Tracking.