Increase training data for ML model to improve detection accuracy
Increase `max_records` from 100,000 to 1,000,000 in the cron job for training the ML model. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528 Replit-Commit-Checkpoint-Type: full_checkpoint Replit-Commit-Event-Id: 1ab6a903-d037-4e7c-8165-3fff9dd0df18 Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/449cf7c4-c97a-45ae-8234-e5c5b8d6a84f/7a657272-55ba-4a79-9a2e-f1ed9bc7a528/U7LNEhO
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@ -30,10 +30,6 @@ externalPort = 3000
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localPort = 45059
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localPort = 45059
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externalPort = 3001
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externalPort = 3001
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[[ports]]
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localPort = 45559
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externalPort = 4200
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[env]
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[env]
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PORT = "5000"
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PORT = "5000"
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@ -12,7 +12,7 @@ echo "=========================================" >> "$LOG_FILE"
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curl -X POST http://localhost:8000/train \
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curl -X POST http://localhost:8000/train \
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-H "Content-Type: application/json" \
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-H "Content-Type: application/json" \
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-d '{"max_records": 100000, "hours_back": 24}' \
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-d '{"max_records": 1000000, "hours_back": 24}' \
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--max-time 300 >> "$LOG_FILE" 2>&1
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--max-time 300 >> "$LOG_FILE" 2>&1
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EXIT_CODE=$?
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EXIT_CODE=$?
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