What is the tf.keras equivalent of encoder.get_feature_names found in sklearn? As shown shown in this SO question Need this to get all the one-hot encoded feature names created "from tensorflow.keras.layers.experimental import preprocessing". I will appreciate any post with example.
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Can you add the name of the layer you are using? `preprocessing` is a module. – Lescurel Feb 11 '21 at 08:16
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I am using preprocessing.CategoryEncoding to encode string or numeric categorical features into one-hot. I hope that helps. – opalbert Feb 11 '21 at 11:11
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CategoryEncoding doesn't even take strings as input – Nicolas Gervais Feb 11 '21 at 14:13
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@NicolasGervais `preprocessing.StringLookup` to target string features and then use CategoryEncoding for the encoding. My question was, is there a way to get the feature names of all the new features created after encoding? Sklearn provides **encoder.get_feature_names**, does tf.keras has something like that? – opalbert Feb 11 '21 at 15:17