release-train: staging -> main - #137
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) * docs(frameworks): correct TensorFlow support claims (backend#2298) TensorFlow is retired: new TF model uploads are rejected (backend#2427), while existing TF experiments remain readable (RFC-BACKEND-2232, D3). Remove TensorFlow from the supported-upload framework lists, drop the [tensorflow] install extra, and reframe the remaining TF-specific reference material as deprecated/read-only for existing experiments. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(frameworks): drop synced-page edits, keep docs-native only (backend#2298) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
release-train: develop -> staging
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Automated promotion by the release train (RFC-0008 D14). Head is the train-managed
release-train/to-mainbranch (a mirror ofstaging), so it never collides with a human PR. Merged only when the fr-gate is green.Note
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Documentation-only wording updates with no product, API, or training-pipeline code changes.
Overview
Documents that TensorFlow is deprecated: new TF model uploads are no longer accepted; new models should use PyTorch (or scikit-learn where supported). Existing TensorFlow experiments stay readable.
Adds deprecation notes on training, hyperparameters, model formats, overview, product copy, and FAQs. Framework lists for image/tabular classification and tabular regression now treat TF as read-only. TensorFlow-specific hyperparameter and file-format docs are kept as reference only.
Reviewed by Cursor Bugbot for commit 9ef3f26. Bugbot is set up for automated code reviews on this repo. Configure here.