Cdg59 [extra Quality] Jun 2026

import mmh3

# Assuming there are 5 unique identifiers categories = ['cdg58', 'cdg59', 'cdg60', 'cdg61', 'cdg62'] index = categories.index('cdg59') one_hot_encoded = np.zeros(len(categories)) one_hot_encoded[index] = 1 print(one_hot_encoded) import mmh3 # Assuming there are 5 unique

# Input layer for identifier input_layer = Input(shape=1) import mmh3 # Assuming there are 5 unique