updates
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train.py
2
train.py
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@ -460,7 +460,7 @@ if __name__ == '__main__':
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mutate_version = 2
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np.random.seed(int(time.time()))
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s = 0.2 # 20% sigma
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g = np.array([1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) # gains
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g = np.array([1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 0, 1, 1, 1, 1, 1, 1, 1]) # gains
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ng = len(g)
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if mutate_version == 1:
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s *= np.random.random() # sigma
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