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It should work: the variable is ordinal so using numerical values makes sense. So there's a bug somewhere, here are a few suggestions of things to look at: Possibly a type conversion error somewhere: make sure the variable is interpreted as numerical. Check whether the model actually uses the variable: if not then it's likely some type error; if yes then I ...


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If tf dataset is used you cannot use the class_weights parameter. Insted return the weight from a parse_function in your pipeline weight_arr = [1.5, 0.5] #define your custom weights #create a lookup table key_tensor = tf.constant(list(range(0, len(weight_arr))), dtype=tf.int64) val_tensor = tf.constant(weight_arr) init = tf.lookup....


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