foxhunt/HYPEROPT_REDEPLOYMENT_SUMMARY.md

Hyperopt Redeployment Summary

Date: 2025-11-02 Status: ✅ COMPLETE Action: Terminated failed pods and redeployed with correct arguments

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Terminated Pods

1. DQN Pod: 5d2i82yqd9y1cw

   • Status: ✅ Successfully terminated
   • Reason: Incorrect arguments

2. PPO Pod: osm99sbp7iga6y

   • Status: Already terminated (not found)
   • Reason: Used --epochs instead of --episodes

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New Deployed Pods

1. DQN Hyperopt Pod

• Pod ID: 7p2rx2v271xf6o
• Name: dqn-hyperopt-20251102_134939
• GPU: RTX A4000 (16GB VRAM)
• Cost: $0.25/hr
• Datacenter: EUR-IS-1
• Machine ID: oamt678mtcdj
• Status: 🟡 Initializing (uptime: -10s at last check)

Command:

hyperopt_dqn_demo \
  --parquet-file /runpod-volume/test_data/ES_FUT_180d.parquet \
  --trials 50 \
  --epochs 100 \
  --base-dir /runpod-volume/ml_training/dqn_hyperopt_20251102_134939

Output Directory: /runpod-volume/ml_training/dqn_hyperopt_20251102_134939

2. PPO Hyperopt Pod

• Pod ID: t0y40op1xl33jo
• Name: ppo-hyperopt-20251102_134947
• GPU: RTX A4000 (16GB VRAM)
• Cost: $0.25/hr
• Datacenter: EUR-IS-1
• Machine ID: 0zk0wm4f144j
• Status: 🟢 Running (uptime: 41s at last check)

Command (CORRECTED - uses --episodes):

hyperopt_ppo_demo \
  --parquet-file /runpod-volume/test_data/ES_FUT_180d.parquet \
  --trials 50 \
  --episodes 1000 \
  --base-dir /runpod-volume/ml_training/ppo_hyperopt_20251102_134947

Output Directory: /runpod-volume/ml_training/ppo_hyperopt_20251102_134947

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Critical Differences (DQN vs PPO)

Parameter	DQN	PPO
Training Units	--epochs 100	--episodes 1000
Binary	hyperopt_dqn_demo	hyperopt_ppo_demo
Base Directory	dqn_hyperopt_*	ppo_hyperopt_*

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Monitoring Commands

Check Pod Status

# DQN Pod
curl -X POST "https://api.runpod.io/graphql" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ${RUNPOD_API_KEY}" \
  -d '{"query": "query { pod(input: {podId: \"7p2rx2v271xf6o\"}) { id name runtime { uptimeInSeconds } machineId } }"}'

# PPO Pod
curl -X POST "https://api.runpod.io/graphql" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ${RUNPOD_API_KEY}" \
  -d '{"query": "query { pod(input: {podId: \"t0y40op1xl33jo\"}) { id name runtime { uptimeInSeconds } machineId } }"}'

Terminate Pods (When Complete)

# DQN Pod
./target/release/foxhunt-deploy run terminate --pod-id 7p2rx2v271xf6o

# PPO Pod
./target/release/foxhunt-deploy run terminate --pod-id t0y40op1xl33jo

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Expected Results

DQN Hyperopt

• Trials: 50
• Duration: 15-20 minutes (estimated)
• Cost: ~$0.06-0.08
• Output: Best hyperparameters saved to /runpod-volume/ml_training/dqn_hyperopt_20251102_134939/

PPO Hyperopt

• Trials: 50
• Duration: 14-20 minutes (based on previous successful run)
• Cost: ~$0.06-0.08
• Output: Best hyperparameters saved to /runpod-volume/ml_training/ppo_hyperopt_20251102_134947/

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Verification Checklist

• Old pods terminated successfully
• DQN pod deployed with correct args (--epochs 100)
• PPO pod deployed with correct args (--episodes 1000, NOT --epochs)
• Both pods show valid machine IDs
• DQN pod transitions from initializing to running (check uptime > 0)
• PPO pod continues running (uptime increasing)
• Trial progress visible in logs (manual check via RunPod dashboard)
• Results saved to correct output directories

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Next Steps

1. Monitor pod progress (every 5-10 minutes):

   • Check uptime increases for both pods
   • Verify trial progress in RunPod dashboard logs

2. When complete (estimated 15-20 minutes):

   • Download results from output directories
   • Terminate both pods to stop billing
   • Analyze best hyperparameters

3. Update CLAUDE.md:

   • Document DQN hyperopt results
   • Compare with PPO hyperopt findings
   • Update production deployment scripts

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Deployment Timeline

• 13:49:39: DQN pod deployed (7p2rx2v271xf6o)
• 13:49:47: PPO pod deployed (t0y40op1xl33jo)
• 13:50:29: DQN pod initializing (uptime: -10s)
• 13:50:29: PPO pod running (uptime: 41s)
• Expected completion: ~14:05-14:10 (15-20 min from start)

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Cost Estimate

• DQN: $0.25/hr × 0.25hr = $0.06
• PPO: $0.25/hr × 0.25hr = $0.06
• Total: ~$0.12 (both pods)
• Waste from failed deployment: ~$0.02 (PPO pod with wrong args)

---

Lessons Learned

1. Always verify arguments before deployment:

   • DQN uses --epochs
   • PPO uses --episodes
   • Mismatch causes immediate failure

2. GraphQL syntax matters:

   • podTerminate returns Void, so no selection needed
   • Correct: mutation { podTerminate(input: {podId: "..."}) }
   • Wrong: mutation { podTerminate(input: {podId: "..."}) { id } }

3. Monitor tool requires AWS credentials:

   • Use RunPod API for status checks
   • Use RunPod dashboard for detailed logs

4. Negative uptime indicates initialization:

   • Pod is pulling image or starting container
   • Should transition to positive uptime within 1-2 minutes