Categorical Variable handling
- This is a package that contain some powerful Categorical feature handling algorithm :
- For that you have to install this library using pip command
- Then observe you dataset and figure out which encoding technique you wants to used
- After that call that library and do as follows:
from categorical_variable _handling import CategoricalFeature
column="Give here the list of Categorical column"
dataframe="Here give the dataframe"
encoding_type="Here give the encoding type e.g:'label','binary','ohe':one hot encoder"
handle_na="this is a boolean value if you wants to handle the NaN value then make true else make false "
cat = CategoricalFeature(df, categorical_features=c, encoding_type='ohe', handle_na=True
cat.fit_transform() #This will return the transformed value of the dataset
By. Manikant Kumar
Release files for categorical-variable-handling 0.1
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| categorical_variable_handling-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / categorical_variable_handling-0.1-py3-none-any.whl
| Download URL | categorical_variable_handling-0.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
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