🐼 -> cleansing -> polar bear!! ʕ·ᴥ· ʔ
License: MIT License
🐼 -> cleansing -> polar bear!! ʕ·ᴥ· ʔ
Polar-bear is a library for easily and quickly performing machine learning tasks.
Example of machine learning tasks:
In addition, it generally performs necessary preprocessing automatically.
Example of preprocessing:
$ pip install polar-bear
This project is licensed under the terms of the MIT license. See LICENSE for additional details.
Since the following error occurred during test execution, we will report it along with environmental information.
テスト実行時以下のエラーが発生したので環境情報と共に報告いたします。
Error
Traceback (most recent call last):
File "C:\Users\***\AppData\Local\Programs\Python\Python36\lib\unittest\case.py", line 59, in testPartExecutor
yield
File "C:\Users\***\AppData\Local\Programs\Python\Python36\lib\unittest\case.py", line 605, in run
testMethod()
File "C:\Users\***\PycharmProjects\polar_bear\tests\test_polar_bear.py", line 15, in test_clean
train_df, test_df, target_col, 0.5)
File "C:\Users\***\PycharmProjects\polar_bear\polar_bear\main.py", line 128, in clean
return_df = _make_return_df(train_df, test_df, threshold_one_hot)
File "C:\Users\***\PycharmProjects\polar_bear\polar_bear\main.py", line 67, in _make_return_df
elif dtype in float_dtype_list:
TypeError: data type "float128" not understood
Like
$ poler_bear --input-file original.csv --output-file output.csv --target target_column_name
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