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Newnius 2020-06-30 16:59:25 +08:00
parent e4a9ceafe5
commit 3f97840d36
2 changed files with 20 additions and 20 deletions
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36
.idea/workspace.xml
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@ -1,11 +1,7 @@
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@ -32,7 +28,7 @@
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<component name="PropertiesComponent"> <component name="PropertiesComponent">
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<property name="aspect.path.notification.shown" value="true" /> <property name="aspect.path.notification.shown" value="true" />
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@ -252,12 +248,12 @@
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@ -268,10 +264,10 @@
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@ -414,8 +410,8 @@
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@ -425,8 +421,8 @@
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4
serve.py
View File

@ -76,6 +76,8 @@ def predict(job, features):
values.append(features[feature]) values.append(features[feature])
datafile = './data/' + job + '.' + str(random.randint(1000, 9999)) + '.csv' datafile = './data/' + job + '.' + str(random.randint(1000, 9999)) + '.csv'
if not os.path.exists(datafile):
return -1, False
t = ['job'] t = ['job']
t.extend(models[job]['features']) t.extend(models[job]['features'])
with open(datafile, 'w', newline='') as csvfile: with open(datafile, 'w', newline='') as csvfile:
@ -99,6 +101,8 @@ def predict(job, features):
for label in models[job]['labels']: for label in models[job]['labels']:
# load the model from disk # load the model from disk
modelfile = './data/' + job + '_' + label + '.sav' modelfile = './data/' + job + '_' + label + '.sav'
if not os.path.exists(modelfile):
return -1, False
model = pickle.load(open(modelfile, 'rb')) model = pickle.load(open(modelfile, 'rb'))
preds = model.predict(test_feature) preds = model.predict(test_feature)
predictions[label] = preds[0] predictions[label] = preds[0]