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Use errors='coerce' when converting to numerical or datetime in TableVectorizer's _apply_cast - #666
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I'll review tomorrow, it's getting too late |
GaelVaroquaux
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One comment: I think that we should code a mechanism to raise a warning. We can discuss this to gauge how important it is.
| # we want to ignore entries that cannot be converted | ||
| # to this dtype | ||
| if pd.api.types.is_numeric_dtype(dtype): | ||
| X[col] = pd.to_numeric(X[col], errors="coerce") |
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With the current usage of "coerce" it is hard to do a warning if an invalid value is encountered.
If we feel that it is important to warn (I am leaning in this direction but not 100% sure), one way to do it is to do a try/except with 'errors="raise"', if an error (the "except" block), capture it, pop up a warning (ideally informative) and then do the same call but with 'error="coerce"'.
| elif pd.api.types.is_datetime64_any_dtype(dtype): | ||
| X[col] = pd.to_datetime(X[col], errors="coerce") | ||
| else: | ||
| # this should not happen |
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Thanks!! Merged |
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Fix #631
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