26 lines
792 B
Python
26 lines
792 B
Python
#!/usr/bin/python3
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import pandas as pd
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import csv
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import pickle
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import numpy as np
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def predict():
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dev0 = pd.read_csv("dev-0/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE)["document"]
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testA = pd.read_csv("test-A/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE)["document"]
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clf = pickle.load(open("clf.model", "rb"))
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vectorizer = pickle.load(open("vectorizer.model", "rb"))
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dev0_vectorizer = vectorizer.transform(dev0)
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testA_vectorizer = vectorizer.transform(testA)
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y_dev = clf.predict_proba(dev0_vectorizer)[:, 1]
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y_test = clf.predict_proba(testA_vectorizer)[:, 1]
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np.savetxt('test-A/out.tsv', y_test, '%f')
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np.savetxt('dev-0/out.tsv', y_dev, '%f')
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predict()
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