Comments (4)
I simulated a data with NaNs, all columns numerical.
I have 'Age' as a feature in dataset which is continuous variable, so we should use the median for continuous variables.
But running the script with autoclean() , the missing values are filled with the mode of the column.
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Can you please share the data or the code that generated that data?
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I have attached the code(Datacleaner.py) and dataset(test.csv).
dataclean.zip
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@myselfHimanshu, please give the latest version (datacleaner-0.1.4) a try and see if that has corrected your issue. While building the unit tests, I found a bug in the software and have since corrected it in the latest release. You can get the latest version of datacleaner with the following command:
pip install --upgrade datacleaner
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Related Issues (13)
- Planned functionality HOT 19
- ValueError instead of TypeError in Python 2.7 HOT 5
- Replace +/- Infs with Max/Min HOT 1
- Add scikit-learn compatibility to datacleaner
- Automatically cleaning unicode text HOT 2
- Add easy way to write out feature-to-categorical mapping.
- '<' not supported between instances of 'str' and 'int' HOT 2
- CI/CD doesn't work
- Add update_checker
- Integrate more encoding options for object columns HOT 11
- Feature: %string to numerical value conversion HOT 4
- Index out of bounds error when a col has all different value HOT 6
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