feat: training set SDK support (DE-8692) - #480
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…collections (DE-8692) Add a TrainingSet resource mirroring Benchmark: a mutable, versioned, model-scoped collection of dataset_item ids spanning one or more datasets. - nucleus/training_set.py: TrainingSet dataclass (from_json, refresh, update, delete, items, add_items, remove_items, new_version, family) with lineage fields (parent_training_set_id, version_major/minor/label). - NucleusClient methods: create_training_set (model-scoped, unified source signature incl. training_set_ids), get/list/update/delete, add/remove/list items, create_training_set_version, list_training_set_family, repin, and get_model_training_set. - Model.create_training_set, Model.training_set, Model.repin_training_set. - TrainingSetItemsPage DTO; new *_KEY constants (TRAINING_SET_ID(S)_KEY, PARENT_TRAINING_SET_ID_KEY); reuse existing item/slice/dataset/version keys. - Exports, version bump 0.21.2 -> 0.21.3, CHANGELOG entry. - tests/test_training_sets.py: 28 fully-mocked tests (no live API). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…nload_items) (DE-8692) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Training Set SDK support (DE-8692)
Adds SDK support for training sets — a mutable, versioned, model-scoped collection of
dataset_itemids spanning one or more source datasets. Structurally a clone of the existingBenchmarkresource, minus the freeze/finalize (training sets stay mutable).Ticket: DE-8692
What's added
nucleus/training_set.py—TrainingSetdataclass mirroringBenchmark:from_json,refresh,update,delete,items,add_items,remove_items,new_version,family, lineage fields.NucleusClientmethods:create_training_set,get_training_set,list_training_sets,get_model_training_set,repin_training_set,update/delete_training_set,list/add/remove_training_set_items,create_training_set_version,list_training_set_family.Modelentry points:Model.create_training_set(...),Model.training_set,Model.repin_training_set(...).item_ids,items=[{dataset_id, reference_id}],slice_id(s),dataset_id(s), andtraining_set_ids(merge other training sets), plus versioning kwargs (parent_training_set_id,bump_type,removed_item_ids). Async job polled to completion, then re-fetch.TrainingSetItemsPageDTO;__all__exports;pyproject.tomlpatch bump (0.21.2 → 0.21.3) + CHANGELOG entry.Tests
tests/test_training_sets.py— 28 fully-mocked tests (no live API), modeled ontest_benchmarks.py. Covers create from each source type, add/remove items, item pagination,new_version, and repin.pytest tests/test_training_sets.py→ 28 passed; benchmark suite still 31 passed.🤖 Generated with Claude Code