pls
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@ -1,3 +1,5 @@
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from pathlib import Path
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from sklearn import svm
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from sklearn.externals import joblib
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import requests
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@ -36,7 +38,7 @@ def train():
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joblib.dump(classifier, "nightness_classifier.pkl")
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def predict(X):
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classifier = joblib.load("nightness_classifier.pkl")
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classifier = joblib.load(str(Path(__file__).parent.joinpath("nightness_classifier.pkl")))
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prob = classifier.predict_proba(np.array(X).reshape(1, -1))
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return prob[0, 1]
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