Feature considerations¶
The following sections describe considerations to be aware of when working with DataRobot features:
- Anomaly detection
- Clustering
- Composable ML
- Custom models
- Data requirements
- Data Quality Assessment
- DataRobot Prime (Disabled)
- Deployments (model monitoring and management)
- Eureqa models
- Feature Discovery
- Location AI
- Monotonic modeling
- Multiclass modeling
- Multilabel modeling
- Out of time validation (OTV)
- Prediction Explanations (XEMP and SHAP)
- Rating Tables
- Time series and multiseries
- Visual AI considerations
Updated February 14, 2023
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