updates
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train.py
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train.py
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@ -448,7 +448,7 @@ if __name__ == '__main__':
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# Select parent(s)
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parent = 'single' # parent selection method: 'single' or 'weighted'
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x = np.loadtxt('evolve.txt', ndmin=2)
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n = min(3, len(x)) # number of previous results to consider
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n = min(5, len(x)) # number of previous results to consider
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x = x[np.argsort(-fitness(x))][:n] # top n mutations
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if parent == 'single' or len(x) == 1:
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x = x[random.randint(0, n - 1)] # select one of the top n
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