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I'm trying to use LightGBM algorithm in ML.NET to train a model using a dataset.
The dataset has a number of categorical features such as "gender", "race", "country_of_birth".
I can convert/encode these categorical data as integers.
My question is how I can specify that these features are categorical and not (continuous variables), so that LightGBM can handle them as categorical data.
I can use OneHotEncoding/OneHotHashEncoding, but I believe it's not the same.
TIA
The text was updated successfully, but these errors were encountered:
I'm trying to use LightGBM algorithm in ML.NET to train a model using a dataset.
The dataset has a number of categorical features such as "gender", "race", "country_of_birth".
I can convert/encode these categorical data as integers.
My question is how I can specify that these features are categorical and not (continuous variables), so that LightGBM can handle them as categorical data.
I can use OneHotEncoding/OneHotHashEncoding, but I believe it's not the same.
TIA
The text was updated successfully, but these errors were encountered: