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Integration/2.1 - #477

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mkumar73 merged 96 commits into
mainfrom
integration/2.1
Oct 18, 2026
Merged

Integration/2.1#477
mkumar73 merged 96 commits into
mainfrom
integration/2.1

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@mkumar73

@mkumar73 mkumar73 commented Oct 17, 2026

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  • Fix refitting, weight continuation, metric handling, monitoring, and retrieval model save/load behavior.
  • Require Python 3.11–3.13 and update dependencies to address known vulnerabilities.
  • Make FAISS and delu optional through deeptab[tabr], with a clear error on unsupported macOS arm64.
  • Expand CI coverage, correct Prettier hooks, and update documentation and examples.

@mkumar73
build(deps): bump pretab to >=1.0,<2.0 and scikit-learn to >=1.6,<2.0
f638cab
@mkumar73
build(deps): bound faiss-cpu and delu to tested version ranges
44abafc
@mkumar73
docs: add supported platform matrix and Intel Mac install limitation
3866a7e
@mkumar73
refactor(preprocessing): centralize Preprocessor construction in buil…
e880eb0 
…d_preprocessor
@mkumar73
feat(config): add canonical PreprocessingConfig fields with legacy al…
88daa49 
…ias resolution
@mkumar73
fix(config): default output_dim for preprocessor to 7
a1fd6af
@mkumar73
fix(preprocessing): add blocks/dense output in build_preprocessor
50b757f
@mkumar73
refactor(core): delete unused docstring-only stub modules
18668b0
@mkumar73
refactor(core): remove dead MLP_Block and make_random_batches
7b9a1fb
@mkumar73
refactor(nn): consolidate scattered imports and drop E402 noqa in nn/…
340607b 
…blocks
@mkumar73
chore(lint): remove stale ruff exclude and enforce B006 mutable-defau…
878c46f 
…lt checks
@mkumar73
feat(preprocessing): resolve task from estimator type, override config
a7de201
@mkumar73
feat(preprocessing): map ObservabilityConfig.verbosity to Preprocesso…
411ca94 
…r verbose
@mkumar73
fix(tests): pyright type-widening in legacy fields
b7011bb
@mkumar73
feat(serialization): persist preprocessor spec, fingerprint, and feat…
24c9010 
…ure widths
@mkumar73
feat(preprocessing): add PreTab presets and representation registry
5d6e1f3
@mkumar73
feat(preprocessing): add PreTab optional-dependency errors to ImportE…
f345bc6 
…rrors in deeptab
@mkumar73
fix(core): use logging for BaseModel.save_model/load_model status mes…
27acba3 
…sages instead of print
@mkumar73
test(config): cover legacy-alias, conflict etc.
5be9e9a
@mkumar73
docs: update preprocessing config examples
7a44751
@mkumar73
chore: pyright fixes
53df8b0
@mkumar73
docs: migration info updated, operations etc.
4e009e3
@mkumar73
fix(metrics): count confidence 1.0 in ECE binning (#421)
5aed012
@mkumar73
fix: encode labels for classification input (#409)
cd04184
@mkumar73
chore: ignore uv.lock
07d318f
@mkumar73
fix(metrics): ECE accepts proba instead of raw logit
ee64cc4
@mkumar73
docs(metrics): ECE docs update
bc6524b
@mkumar73
fix: type correction for input_dim
4011f59
@mkumar73
fix: regression label shape handling (#441)
0c50cf9
@mkumar73
fix: fit() arguments being overridden by TrainerConfig (#442)
b65c2b4
mkumar73 added 29 commits October 10, 2026 18:52
@mkumar73
ci: enforce 90 percent coverage
d93308e
@mkumar73
fix: clarify preprocessing widths and historical artifact compatibility
8638694
@mkumar73
docs: refresh 2.1 release guidance and correct macOS support
99b768d
@mkumar73
ci: add core and extras dependency checks
df5d2ad
@mkumar73
fix(models): execute contract checks and reject unsupported weights
2802e19
@mkumar73
fix: preserve fitted state when refit validation fails
5d52afb
@mkumar73
fix: refresh data and loaders during weight continuation
eabb493
@mkumar73
fix: adapt classification metric inputs during training
1584d71
@mkumar73
fix: compute metrics over complete epochs
e90a462
@mkumar73
fix: preserve retrieval inference state across save and load
1307073
@mkumar73
test: expand stable model behavioral coverage
2462559
@mkumar73
fix(deps): update vulnerable dependencies and remove audit ignores
6f637e3
@mkumar73
fix(compat): drop Python 3.10 support and validate dependency endpoints
c68656f
@mkumar73
docs: refresh documentation
dcb1870
@mkumar73
docs: publish numerical width benchmarks
4923866
@mkumar73
docs: update API and tutorial examples
b5f2580
@mkumar73
fix: correct ModernNCA regression and binary model reloads
f42b85f
@mkumar73
fix: correct categorical feature metadata typing
1c1228e
@mkumar73
docs: correct model guidance and update release notes
104a778
@mkumar73
fix(ci): move runner cache configuration to step scope
e8e49d0
@mkumar73
docs: tutorial update
8a0589d
@mkumar73
fix(tabr): install FAISS and delu only when requested
e25ae44
@mkumar73
docs: update changelog
432edb1
@mkumar73
fix(hooks): enable Prettier and clean up formatting
89cf7ed
@mkumar73
docs: update templates, settings
5753cea
@mkumar73
fix: resolve dependency installation, type checks and test failures i…
de0676b 
…n CI
@mkumar73
fix: linting, formatting
9fcc81c
@mkumar73
fix: mlp refactor for mps device
49c7a6d
@mkumar73
fix: package update
66e2d24
@mkumar73
mkumar73 merged commit 01ce282 into main Oct 18, 2026
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@mkumar73