Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic
|
| gptkbp:aimsTo |
improve machine learning model reliability
streamline machine learning workflows enable continuous integration and delivery for machine learning |
| gptkbp:focusesOn |
machine learning model deployment
collaboration between data scientists and operations machine learning model automation machine learning model management machine learning model monitoring machine learning model reproducibility machine learning model versioning |
| https://www.w3.org/2000/01/rdf-schema#label |
MLOps
|
| gptkbp:includes |
gptkb:model
resource management collaboration tools hyperparameter tuning CI/CD pipelines scalability model interpretability model monitoring model validation observability data versioning deployment automation experiment tracking infrastructure automation model explainability model packaging model serving model archiving testing automation feature store model testing data drift detection cost optimization model approval workflows model drift detection model governance model performance tracking model retraining model rollback model access control model auditing model bias detection model compliance model deprecation model documentation model encryption model fairness model lifecycle management model lineage model promotion model reproducibility model scalability model security model traceability model training automation monitoring automation |
| gptkbp:relatedTo |
gptkb:machine_learning
gptkb:DevOps |
| gptkbp:bfsParent |
gptkb:Vertex_AI
|
| gptkbp:bfsLayer |
5
|