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lanl
GFDL
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ENH: Array API for
GFDLRegressor
- #129
#129
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ENH: Array API for
GFDLRegressor
#129
sdtemple
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lanl/GFDL:main
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sdtemple:sdtemple_torch_cpu_regressor
sdtemple/GFDL:sdtemple_torch_cpu_regressor
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Commits
Commits on Oct 27, 2026
ENH: array api standard for torch cpu
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ENH,TST: ensure float, check and convert arrays
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ENH: move_to from private utility funcs
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ENH: activation functions with xp
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ENH: zero must be tensor in max func
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ENH,TST: array api dtypes, sklearn tags, and fixtures
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ENH,TST: sklearn-based tests
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ENH,TST: array api checks local to some tests
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ENH,TST: make_regression test for torch
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MAINT: xp.min instead of min or .min()
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ENH,TST: xp flexible tests for check values
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ENH,TST,BUG: need with context, atol and rtol control
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ENH,TST: use yield for namespace, device, dtype
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ENH: revise for strict Array API
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TST: no check array api for classifier
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CI: CI for array API
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ENH,MAINT: use xp for `sigmoid`, `log_sigmoid`
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ENH,TST: `partial_fit` for array API
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ENH,TST: softmax; tighter atol, rtol bounds for float64
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TST: `sklearn` api compliance already handles array API
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ENH,TST: revisions after Emma's PR
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TST: `xpx` assert, small `partial_fit` test
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ENH: `xp.asarray` in `partial_fit`
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CI: not cuda, xpu, mps for Array API CI
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