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For imputation models, X_intact in the val set containing missing data will cause NaN loss #232

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WenjieDu opened this issue Nov 12, 2023 · 0 comments
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For imputation models, X_intact in the val set containing missing data will cause NaN loss #232

WenjieDu opened this issue Nov 12, 2023 · 0 comments
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v0.2.1

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For all imputation models, when X_intact in the val set contains missing data, the training procedure will have NaN val loss, and this will lead to an error after the training is finished.
@WenjieDu WenjieDu added the question Further information is requested label Nov 12, 2023
@WenjieDu WenjieDu self-assigned this Nov 12, 2023
@WenjieDu WenjieDu added bug Something isn't working and removed question Further information is requested labels Nov 12, 2023
@WenjieDu WenjieDu mentioned this issue Nov 12, 2023
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@WenjieDu WenjieDu added this to the v0.2.1 milestone Nov 12, 2023
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