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Encode Values
Encodes values in a column through a variety of methods:
Label Encoding: Encode target labels with value between 0 and n_classes-1. See scikit-learn's LabelEncoder for full documentation.
Target Encoding: Encode a categorical column with the average value of a target column for the corresponding value of the categorical column. See scikit-learn's TargetEncoder for full documentation.
One Hot Encoding: Encode a categorical column as a 0 or 1 for each possible category, each of which will be it's own row.
Name | Type | Description | Is Optional |
|---|---|---|---|
method | string | Encoding method which will be used ('label', 'target', or 'oh') | |
column | column | Column name to label encode | |
target | column | Required if method = 'target'. Numeric target column to use to create averages | True |
ds = rasgo.get.dataset(id)
ds2 = ds.label_encode(column='WEATHER_DESCRIPTION', method='oh')
ds2.preview()
ds3 = ds.target_encode(column='WEATHER_DESCRIPTION', target='DAILY_HIGH_TEMP')
ds3.preview()
Last modified 7mo ago