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How can you automate the execution and tracking of machine learning experiments using MLflow on Databricks with the Databricks REST API?
A
Implementing a CI/CD pipeline that triggers Databricks notebooks via the REST API, with notebooks configured to log experiments to MLflow
B
Using the REST API to submit Spark jobs that initiate MLflow experiments, capturing experiment results and metrics in an automated fashion
C
Directly interacting with the MLflow REST API to create and manage experiments, bypassing the need for Spark job submission
D
Crafting a custom application that uses the Databricks REST API to monitor Databricks jobs and log experiment results to MLflow upon job completion
