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feat(docs): add ROADMAP of Kubeflow SDK #44
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feat(docs): add ROADMAP of Kubeflow SDK
kramaranya c14b231
feat(docs): add Model Registry to ROADMAP
kramaranya 6e16394
feat(docs): add links to ROADMAP
kramaranya 26c14a5
Update ROADMAP.md
kramaranya 7d151e8
feat(docs): add Trainer SDK
kramaranya 9e28741
feat(docs): add test coverage issues
kramaranya cb8839f
feat(docs): add issues to ROADMAP.md
kramaranya 4fa3324
feat(docs): update ROADMAP.md
kramaranya be26f6c
feat(docs): add issues to ROADMAP.md
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| # Kubeflow SDK ROADMAP | ||
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| ## 2025 | ||
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| ### Core SDK | ||
| - Release Kubeflow SDK 0.1.0 to PyPI: https://github.com/kubeflow/sdk/issues/45 | ||
| - Include Kubeflow SDK into the KFP SDK: https://github.com/kubeflow/pipelines/issues/12027 | ||
| - Improve test coverage: https://github.com/kubeflow/sdk/issues/16, https://github.com/kubeflow/sdk/issues/18 | ||
| - Generate docs for Kubeflow SDK: https://github.com/kubeflow/sdk/issues/50 | ||
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| ### Trainer SDK | ||
| - Migrate Trainer SDK: https://github.com/kubeflow/sdk/issues/1 | ||
| - Local Execution for Training Jobs: https://github.com/kubeflow/sdk/issues/22 | ||
| - Manage Kubeflow TrainJobs in a multi-cluster environment: https://github.com/kubeflow/sdk/issues/23 | ||
| - Snapshot users' workspace into distributed TrainJob workload: https://github.com/kubeflow/sdk/issues/48 | ||
| - Support distributed data cache configuration via initializer SDK: https://github.com/kubeflow/trainer/issues/2655 | ||
| - Support other built-in trainers besides TorchTune: https://github.com/kubeflow/trainer/issues/2752 | ||
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| ### Katib SDK | ||
| - Integrate Katib SDK: https://github.com/kubeflow/sdk/issues/46 | ||
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| ### Model Registry SDK | ||
| - Integrate Model Registry SDK |
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Shall we include the work we've already done? Such as "Migrate Trainer SDK".
WDYT👀 @kramaranya @kubeflow/wg-training-leads @astefanutti
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Great idea, thanks!