displayName
Model Training Cycle
workflowKind
data
triggerType
event-driven
typicalCadence
per-experiment
complexity
cross-team
description
Manages the end-to-end ML model training lifecycle — dataset preparation,
hyperparameter sweeps, distributed training orchestration, experiment
tracking, and model artifact registration. Excludes model serving.