Databricks Runtime 14.3 LTS ML is a machine learning runtime for Databricks clusters. It’s designed to provide a stable and optimized environment for machine learning workloads, including popular ML libraries like sci-kit-learn, TensorFlow, and XGBoost. Key features and benefits include:

Key Features:

• Long-Term Support (LTS): Ensures stability and compatibility for extended periods.
• Optimized for ML: Includes a curated set of ML libraries and tools.
• Python Package Management: Uses virtualenv to manage Python dependencies.
• Popular ML Packages: Includes hyperopt, sparkdl, and automl.
• Integration with Databricks Platform: Seamlessly integrates with other Databricks features like Delta Lake, MLflow, and AutoML.

Benefits:

• Simplified Setup: Reduces the effort of setting up a machine learning environment.
• Stable Environment: Ensures reproducibility and reliability of ML workflows.
• Optimized Performance: Leverages Databricks’ optimized infrastructure for faster ML training and inference.
• Collaboration: Enables easier collaboration among data scientists and engineers