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https://github.com/newnius/YAO-optimizer.git
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update
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parent
e4a9ceafe5
commit
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@ -1,11 +1,7 @@
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4
serve.py
4
serve.py
@ -76,6 +76,8 @@ 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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@ -99,6 +101,8 @@ def predict(job, features):
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for label in models[job]['labels']:
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# load the model from disk
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modelfile = './data/' + job + '_' + label + '.sav'
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if not os.path.exists(modelfile):
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return -1, False
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model = pickle.load(open(modelfile, 'rb'))
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preds = model.predict(test_feature)
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predictions[label] = preds[0]
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