Fix HTML representation's fitted status#7146
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rapids-bot[bot] merged 1 commit intorapidsai:branch-25.10from Aug 28, 2025
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Fix HTML representation's fitted status#7146rapids-bot[bot] merged 1 commit intorapidsai:branch-25.10from
rapids-bot[bot] merged 1 commit intorapidsai:branch-25.10from
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Need to sync the attributes to the CPU model for the HTML repr to work properly.
betatim
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jcrist
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Aug 27, 2025
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Seems fine to me. If we wanted a cheap optimization, only syncing something common but easy like n_features_in_ in this case would be sufficient (just enough synced to make sklearn detect the CPU model is fitted).
Alternatively we could attempt to make the _html_repr_ run on the proxy itself, but sklearn calls so many private methods defined in Base to make that work, it's not clear if reorging to run on the proxy itself would work or not cause other issues.
Anyone saving a model for use later (or accessing a fitted attribute) will require a CPU sync anyway, so not too worried about the perf.
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Need to sync the attributes to the CPU model for the HTML repr to work properly. This is because we delegate the HTML repr building to the CPU model. The advantage of this is that users get exactly what they are expecting, the downside is that we need to sync fitted attributes so that the fitted/not fitted detection works correctly. In theory we could dig into how the detection is done and only sync "that one attribute" needed to pass the test. I think that is a premature optimisation and relies on the internals of scikit-learn which means it is fragile.
closes #7145