feat: KEP-3562: Add Phase 2 Kubeflow SDK integration design - #3881
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Add the SDK client API design for OptimizationJob per the SDK & ML Experience call (2026-07-29): single TrainerClient with optimize(), get_hyperparameters() helper, SDK-to-CRD type mappings, and the migration path from the Katib-backed OptimizerClient. Part of kubeflow#3794 Signed-off-by: Sridhar1030 <sridharpillai75@gmail.com>
Signed-off-by: Sridhar1030 <sridharpillai75@gmail.com>
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This PR adds the Phase 2: Kubeflow SDK Integration section to the OptimizationJob proposal introduced in #3565, following the direction agreed on the Kubeflow SDK & ML Experience call (2026-07-29): keep the single
TrainerClient(), start withTrainerClient().optimize().What this defines:
TrainerClient().optimize()and its lifecycle APIs — the same client and the sameTrainJobTemplateare used for both training and hyperparameter optimizationfunc_argsoverride forCustomTrainer(no user code changes),get_hyperparameters()for custom containers and builtin trainersreport_metrics()for reporting the objective metricSearchtypes, removing thekubeflow-katib-apidependency from the trainer-native pathOptimizerClientSDK prototype (on hold pending this design): kubeflow/sdk#726
Part of #3794