Error if continuous training data contains null values #428
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Codecov ReportAll modified and coverable lines are covered by tests ✅
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## main #428 +/- ##
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+ Coverage 85.25% 85.46% +0.20%
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Files 10 11 +1
Lines 780 791 +11
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+ Hits 665 676 +11
Misses 115 115
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frances-h
approved these changes
Jan 15, 2025
tests/unit/synthesizer/test_ctgan.py
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| Setup: | ||
| - Create dataframe with a continuous column | ||
| - Create numpy array with same data | ||
| - Create dataframe with a discrete column | ||
| - Create numpy array with a discrete column | ||
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| Input: | ||
| - train_data = 2-dimensional numpy array or a pandas.DataFrame | ||
| - discrete_columns = list of strings or integers | ||
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| Output: | ||
| None | ||
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| Side Effects: | ||
| - Raises error if a continuous column contains a null value. | ||
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| Note: | ||
| - could create another function for numpy array |
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minor: this is an old doc style we don't use anymore, you can just have the summary for new tests
R-Palazzo
approved these changes
Jan 15, 2025
| discrete_columns = ['discrete'] | ||
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| ctgan = CTGAN(epochs=1) | ||
| with pytest.raises(InvalidDataError): |
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Add # Run and Assert
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Fixes #414
CU-86b2pdt0b