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https://github.com/newnius/YAO-optimizer.git
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update
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parent
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commit
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@ -1,7 +1,9 @@
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2
serve.py
2
serve.py
@ -79,8 +79,6 @@ def predict(job, features):
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values.append(features[feature])
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datafile = './data/' + job + '.' + str(random.randint(1000, 9999)) + '.csv'
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if not os.path.exists(datafile):
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return -1, False
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t = ['job']
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t.extend(models[job]['features'])
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with open(datafile, 'w', newline='') as csvfile:
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