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ArrayInterface handler for cuDF DataFrame cannot yet handle Boolean columns #10181

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hcho3 opened this issue Apr 13, 2024 · 1 comment
Open

ArrayInterface handler for cuDF DataFrame cannot yet handle Boolean columns #10181

hcho3 opened this issue Apr 13, 2024 · 1 comment

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@hcho3
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hcho3 commented Apr 13, 2024 •
edited

Since the ArrayInterface class in XGBoost does not yet support Boolean columns, it throws an error

/workspace/src/c_api/../data/array_interface.h:500: Boolean-1 is not supported.

whenever Boolean columns are passed in. The error is only relevant for cuDF DataFrames, since the handler for Pandas DataFrame converts Boolean columns into float type.

Context. I encountered this error while working on #10175. Starting from Pandas 2.0, pd.get_dummies() returns Boolean type, instead of uint8 (pandas-dev/pandas#48022).
@hcho3 hcho3 changed the title Pandas 2.0+: get_dummies() now returns Bool type instead of uint8 _transform_cudf_df() cannot yet handle Boolean columns Apr 13, 2024
hcho3 added a commit that referenced this issue Apr 13, 2024
@hcho3
Work around #10181
2674b67
@hcho3 hcho3 changed the title _transform_cudf_df() cannot yet handle Boolean columns ArrayInterface handler cannot yet handle Boolean columns Apr 13, 2024
@hcho3 hcho3 changed the title ArrayInterface handler cannot yet handle Boolean columns ArrayInterface handler for cuDF DataFrame cannot yet handle Boolean columns Apr 13, 2024
@hcho3 hcho3 mentioned this issue Apr 13, 2024
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hcho3 added a commit that referenced this issue Apr 15, 2024
@github-actions @hcho3
[CI] Use latest RAPIDS; Pandas 2.0 compatibility fix (#10175)
2925ceb 
* [CI] Update RAPIDS to latest stable

* [CI] Use rapidsai stable channel; fix syntax errors in Dockerfile.gpu

* Don't combine astype() with loc()

* Work around #10181

* Fix formatting

* Fix test

---------

Co-authored-by: hcho3 <hcho3@users.noreply.github.com>
Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
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We need to use the bit mask for accessing boolean columns.

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@hcho3 @trivialfis