The correct answer is 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. This structure offers several benefits:
- Organization: A hierarchical structure in MLflow provides a clear overview of the optimization process and individual trial results.
- Comparison: It simplifies comparing trial performance and hyperparameter combinations.
- Tracking: Enables monitoring progress and identifying successful trials or potential issues.
- Reproducibility: Logging trials to MLflow supports reproducibility and sharing of experiments.
Incorrect options:
- A) Each trial as a separate main run would obscure the relationship between trials and the overall optimization process.
- B) MLflow not used contradicts the active use of MLflow in SparkTrials for experiment tracking.
- D) Single main run would lack the granularity needed for detailed analysis of individual trials.
Key Points:
- SparkTrials uses MLflow's hierarchical run structure for organized logging.
- The main run offers a comprehensive overview, while child runs provide detailed insights into each trial.