Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
How does SparkTrials utilize MLflow for logging tuning results, and what distinguishes the main run from child runs in this scenario?
A
Each trial is logged as a separate main run in MLflow, obscuring the relationship between trials and the overall optimization process.
B
MLflow is not utilized for logging in SparkTrials, missing out on experiment tracking and analysis capabilities.
C
The main run represents the fmin() call, logging overall optimization details, while each trial is logged as a child run under it, capturing trial-specific information.
D
SparkTrials logs all results to a single main run in MLflow, which lacks granularity for analyzing individual trials.
