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Splitting into Categorical features #17

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harshraj22 opened this issue May 11, 2022 · 0 comments
Open

Splitting into Categorical features #17

harshraj22 opened this issue May 11, 2022 · 0 comments
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DeepLearning/implementations/TabTransformer/data_loader/datasets.py

Line 21 in 60b90a6

CATEGORICAL_COLUMNS = ['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod']

Since the dataset is specific, it seems ok to use variables to store categorical and continuous variables. For generic case, you may want to use fastai’s cont_cat_split
@harshraj22 harshraj22 self-assigned this May 13, 2022
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