Does Kumo Engine support multitask or multi-objective learning?

Kumo Engine does not currently natively support jointly training one model across distinct prediction targets with a combined loss. Depending on your objective, these approaches may address your use case:

• Multilabel classification: Predict several labels for an entity within one prediction task, such as different fraud categories. See the Multilabel Classification example.
• Weighted training: Combine behavioral signals into a unified training table and assign row weights to control their contribution, such as weighting different recommendation interactions. See Weighting and Class Imbalance for supported tasks and settings.