AutoML_MLOps_PipeLine / config /monitoring_config.yaml
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Initial commit: AutoML MLOps Pipeline project structure
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data_drift:
reference_data_path: artifacts/data/processed/reference.csv
current_data_path: artifacts/data/processed/current.csv
report_path: artifacts/reports/drift_reports
threshold: 0.1
columns: null
model_monitoring:
predictions_path: artifacts/logs/predictions
performance_threshold: 0.05
window_size: 1000
metrics:
- accuracy
- precision
- recall
- f1
evidently:
reference_window: 7
detection_window: 1
confidence_level: 0.95
stattest: ks
stattest_threshold: 0.05
prometheus:
host: localhost
port: 9090
scrape_interval: 15s
evaluation_interval: 15s
grafana:
host: localhost
port: 3000
admin_user: admin
admin_password: admin
loki:
host: localhost
port: 3100
promtail:
host: localhost
port: 9080
log_path: artifacts/logs