Start working on predictor extractor

predictor_extractor.py

+import numpy
+import re
+import nltk
+import sys
+from sklearn.feature_extraction.text import CountVectorizer
+import pickle
+import os
+from itertools import chain
+import copy
+import operator
+import logging
+
+base_path = os.path.dirname(__file__)
+sys.path.append(base_path)
+from essay_set import EssaySet
+import util_functions
+
+if not base_path.endswith("/"):
+    base_path=base_path+"/"
+
+log = logging.getLogger(__name__)
+
+
+class PredictorExtractor(object):
+    def __init__(self):
+        pass
+
+