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[FEATURE] check (raise warning) if features are provided that lead to all equal weights #65

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talgalili opened this issue Sep 4, 2023 · 0 comments
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enhancement New feature or request

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@talgalili
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We suspect that when providing a feature that has mostly unique string values and some NaN values, then this might lead the ipw model to give just weights of 1.
This should be:

  1. Checked.
  2. If exists, to add a check and warning when it happens.
@talgalili talgalili added the enhancement New feature or request label Sep 4, 2023
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