MONITOR_TRAINING.md

How to Monitor Training Progress

Training is Currently Running! ✅

The model optimization is running in Docker container heart-optimization-v2.

Quick Status Check

# Check if container is running
docker ps | grep heart-optimization

# See current progress (last 50 lines)
docker logs --tail 50 heart-optimization-v2

# Follow progress in real-time (like tail -f)
docker logs -f heart-optimization-v2

View Log File

# View the log file
tail -f optimization_v2_log.txt

# Or view last 100 lines
tail -100 optimization_v2_log.txt

Current Progress

Based on the logs, training is:

• XGBoost: Trial 4/300 (just started)
• CatBoost: Waiting (will start after XGBoost)
• LightGBM: Waiting (will start after CatBoost)

Estimated Time Remaining

• XGBoost (300 trials): ~1.5-2 hours remaining
• CatBoost (300 trials): ~2-3 hours
• LightGBM (300 trials): ~1-1.5 hours
• Total: ~4.5-6.5 hours

What to Look For

The logs show:

• Trial number (e.g., "Trial 4/300")
• Best score found so far
• Progress bar
• Estimated time remaining

Stop Training (if needed)

docker stop heart-optimization-v2

Check Results (when complete)

Results will be saved to:

• content/models/model_metrics_optimized.csv
• content/models/*_optimized.joblib
• content/models/ensemble_info_optimized.json