02 — Fleet Management
ML Models
Model registry, drift detection, and inference coverage across the fleet.
Active Model: WashCycle-LSTM v2.3
Model Accuracy
98.4%
Production avg
Drift Index
0.12
Target < 0.20
Active Models
6
Prod + Shadow
Training Queue
2
Jobs pending
Inference Latency
42ms
Avg per request
Anomaly Recall
94.1%
Last 24h
Training Loss
Convergence (latest)
0.042
Data Drift
Population Shift
0.18
Registry
Model Registry + Deployment Status
Fleet Coverage
Inference Coverage by Unit