repaired

app.py

@@ -5,7 +5,7 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 import numpy as np
 
 
-def getResult(filePath):
+def makePrediction(filePath):
     with open(filePath + 'in.tsv') as input:
         predictData = input.readlines()
         pred = model.predict(predictData)
@@ -14,9 +14,6 @@ def getResult(filePath):
                 result.write(str(prediction) + '\n')
 
 
-# trainInData = getData('./train/in.tsv')
-# trainExpData = getData('./train/expected.tsv')
-
 expectedTraining = open('./train/expected.tsv').readlines()
 inTraining = open('./train/in.tsv').readlines()
 
@@ -27,5 +24,5 @@ pipeline = Pipeline(
 model = pipeline.fit(inTraining, afterTransform)
 
 
-getResult('./dev-0/')
-getResult('./test-A/')
+makePrediction('./dev-0/')
+makePrediction('./test-A/')