mlops-observability

SKILLFlujo de trabajocomunidad
v0.0.0MLOps-CoursesMITActualizado hace 10 dFuente →

Make an ML system a glass box with reproducible runs, MLflow dataset lineage, drift monitoring, alerting, and SHAP explanations. Use when a deployed model needs traceability, monitoring, alerting, or explanation.

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hace 10 dÚltima actualización
Skill
AutorMLOps-Courses
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
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Make an ML system a glass box with reproducible runs, MLflow dataset lineage, drift monitoring, alerting, and SHAP explanations. Use when a deployed model needs traceability, monitoring, alerting, or explanation.

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