Encode Feature
OneHotEncoder, LabelEncoder, Data Categorize, Binarizer, KBinsDiscretizer
OneHotEncoder
Input Data
Inputs | |
*Target Data | Data input |
*Output Name | Name of the encoded data (fill it out at your discretion) |
*Encoder | Name of the user-defined encoder module (fill it out at your discretion)
|
*x | Columns (variables) to be encoded
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LabelEncoder, Binarizer, KBinsDiscretizer
Input Data
Inputs | |
*Target Data | Data input |
*Output Name | Name of the encoded data (fill it out at your discretion) |
*Encoder | Name of the user-defined encoder module (fill it out at your discretion)
|
*x | Columns (variables) to be encoded
|
Data Categorize
Input Data
Inputs | |
*Target Data | Data input |
*Variable | Column of 'Target Data' to be categorized |
*Output Name | Name of the categorized data (fill it out at your discretion) |
New Variable | Name of the categorized 'Variable' (fill it out at your discretion) It will be stored as a new variable in 'Output Name' data.
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Arguments
Inputs | |
*Oper. | select equality/inequality signs |
*Value 1 | categorization criteria number |
& | If there are 2 categorization criteria to categorize the data, use '&'. |
Oper. | select equality/inequality signs for criteria 2 |
Value2 | categorization criteria 2 number |
Categorize Value | Categorize Value of the data categorized by the set criteria. |
Workflow Example
R-Flow Task Example Video: Data Categorize
Python Package
OneHotEncoder: https://scikit-learn.org/0.16/modules/generated/sklearn.preprocessing.OneHotEncoder.html
LabelEncoder: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html
Binarizer: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html
KBinsDiscretizer: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
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