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feat(image): add architecture-matched full runtime image (#64)
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fix(explainability): support dynamic SHAP log-loss baselines (#65)
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refactor(data): migrate Daft SQL bindings to new connectors (#63)
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feat(algorithms): add image profiles and offline Wheelhouse distribut…
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feat(data)!: remove DataConnector compat facade and legacy entry poin…
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feat(algorithms): lower third-party distributed algorithm onboarding …
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docs: Ray-style docs with generated API reference and CI gates (#59)
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feat(ci): add manifest-driven test tiers and external safeguards (#58)
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feat(inference): remove embedding APIs and add a generic Lance sink (…
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feat(vector-index): add distributed Lance indexing and search (#56)
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feat: Ray-native distributed training runtime with local/kubernetes p…
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feat(data): converge bounded writes on the native write Gateway (#54)
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feat(explainability): pluggable model explainability with SHAP backen…
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refactor(training): route training reads through the ingestion Gatewa…
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fix(tune): strict target metric validation and fit-only trial isolati…
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fix: precise GHCR miss detection with trusted-push authentication, en…
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docs(architecture): add system landscape diagram and documentation (#49)
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feat(exporting): converge model export architecture (#48)
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feat(algorithms): converge legacy trainer catalog (#46)
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feat(inference): bundle-aware batch inference with isolated IT gate (…
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feat(exporting): add publication hook dispatch and MLflow bundle trac…
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feat(algorithms): portable execution layer with managed runtimes and …
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feat(data): bounded dual-engine ingestion with provider and binding S…
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docs: migrate documentation to Sphinx and Read the Docs (#41)
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feat(_common): add unified dependency probing layer (#18)
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