This is a code sample that will work normally import tensorflow as tf from tensorflow.keras.layers import Input, Dense, Concatenate from tensorflow.keras import Model import pandas as pd import numpy as np df = pd.DataFrame() numeric_feature_name = 'a' * 27 categorical_feature_name = 'b'...
In the above, ColTransformer is a transformer used for converting a dataframe or numpy matrix of mixed types (strings, ints, floats) into the same shaped output of floats. Its specific name (in the attached graph) is CatColEncoder and its main purpose is for encoding categorical columns. ...