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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-01-22 18:17:08 -08:00
parent e6ec7c041c
commit 9bb51aaf8c
1 changed files with 5 additions and 4 deletions
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train.py
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@ -448,13 +448,14 @@ if __name__ == '__main__':
# Select parent(s) # Select parent(s)
parent = 'single' # parent selection method: 'single' or 'weighted' parent = 'single' # parent selection method: 'single' or 'weighted'
x = np.loadtxt('evolve.txt', ndmin=2) x = np.loadtxt('evolve.txt', ndmin=2)
n = min(5, len(x)) # number of previous results to consider n = min(8, len(x)) # number of previous results to consider
x = x[np.argsort(-fitness(x))][:n] # top n mutations x = x[np.argsort(-fitness(x))][:n] # top n mutations
w = fitness(x) - fitness(x).min() # weights
if parent == 'single' or len(x) == 1: if parent == 'single' or len(x) == 1:
x = x[random.randint(0, n - 1)] # select one of the top n # x = x[random.randint(0, n - 1)] # random selection
x = x[random.choices(range(n), weights=w)[0]] # weighted selection
elif parent == 'weighted': elif parent == 'weighted':
w = fitness(x) - fitness(x).min() # weights x = (x * w.reshape(n, 1)).sum(0) / w.sum() # weighted combination
x = (x * w.reshape(n, 1)).sum(0) / w.sum() # select weighted combination
# Mutate # Mutate
method = 3 method = 3