lale.lib.sklearn.one_hot_encoder module¶

class lale.lib.sklearn.one_hot_encoder.OneHotEncoderImpl(**hyperparams)[source]¶

get_feature_names(input_features=None)[source]¶

Return feature names for output features after this transformation. This uses the output features obtained from scikit-learn’s OneHotEncoder’s get_feature_names method. https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder.get_feature_names The precedence of input feature names used is as follows: 1. input_features passed as an argument to this function.

This is a list string of length n_features.

feature_names obtained at the time of training. They are input data’s column names if it was a Pandas dataframe.
feature_names obtained at the time of training. If training data was not a Pandas DataFrame, this method returns the output of scikit’s get_feature_names(None).