prob

predict_rm.py

@@ -0,0 +1,25 @@
+#!/usr/bin/python3
+
+import pandas as pd
+import csv
+import pickle
+import numpy as np
+
+def predict():
+    dev0 = pd.read_csv("dev-0/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE)["document"]
+    testA = pd.read_csv("test-A/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE)["document"]
+
+    clf = pickle.load(open("clf.model", "rb"))
+    vectorizer = pickle.load(open("vectorizer.model", "rb"))
+    
+    dev0_vectorizer = vectorizer.transform(dev0)
+    testA_vectorizer = vectorizer.transform(testA)
+
+    y_dev = clf.predict_proba(dev0_vectorizer)[:, 1]
+    y_test = clf.predict_proba(testA_vectorizer)[:, 1]
+
+    np.savetxt('test-A/out.tsv', y_test, '%f')
+    np.savetxt('dev-0/out.tsv', y_dev, '%f')
+
+predict()
+