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* [ML][Inference] Feature pre-processing objects and functions (#46777) To support inference on pre-trained machine learning models, some basic feature encoding will be necessary. I am using a named object serialization approach so new encodings/pre-processing steps could be added in the future. This PR lays down the ground work for 3 basic encodings: * HotOne * Target Mean * Frequency More feature encodings or pre-processings could be added in the future: * Handling missing columns * Standardization * Label encoding * etc.... * fixing compilation for namedxcontent tests
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