Model Registry

Version control and lifecycle management for ML models

Models in Production

5

All healthy

Staging Models

3

1 ready to deploy

Total Versions

47

Across all models

Avg Accuracy

94.2%

+1.3% this week

Production Models

points_predictor_v2.3

v2.3Random Forest
Healthy

Accuracy

94.7%

Latency

82ms

Predictions today:145,234
Last retrained:2 days ago

Accuracy Trend (7 days)

CPU:23%
Mem:512MB

assists_predictor_v1.8

v1.8XGBoost
Healthy

Accuracy

92.3%

Latency

95ms

Predictions today:98,456
Last retrained:5 days ago

Accuracy Trend (7 days)

CPU:18%
Mem:420MB

rebounds_predictor_v3.1

v3.1Ensemble
Degrading

Accuracy

89.8%

Latency

124ms

Predictions today:67,890
Last retrained:12 days ago

Accuracy Trend (7 days)

CPU:31%
Mem:750MB

player_impact_v2.0

v2.0Neural Network
Healthy

Accuracy

93.1%

Latency

108ms

Predictions today:234,567
Last retrained:1 day ago

Accuracy Trend (7 days)

CPU:42%
Mem:890MB

game_outcome_v1.5

v1.5LightGBM
Healthy

Accuracy

91.2%

Latency

76ms

Predictions today:56,789
Last retrained:7 days ago

Accuracy Trend (7 days)

CPU:15%
Mem:380MB

Model Lifecycle Pipeline

Development

12 models

Staging

3 models

Shadow

1 model

Production

5 models

Unit Tests
A/B Testing
Shadow Mode
Production

Training Jobs Monitor

points_predictor_v3.1

runningStarted: 10:23 AMETA: 12 min

Loss

0.0234

Epoch 67/10067.0%
CPU Usage78%
Memory4.2 GB

rebounds_predictor_v3.2

queuedStarted: PendingETA: 45 min
Epoch 0/1500.0%
CPU Usage0%
Memory0.0 GB