first commit

decisiontree.py

@@ -4,6 +4,7 @@
 from sklearn.tree import DecisionTreeClassifier
 from scipy.sparse import lil_matrix
 from sklearn.feature_extraction.text import TfidfTransformer
+import time
 
 # Performs classification using Decision Tree.
 

logistic.py

@@ -4,6 +4,7 @@
 import utils
 import random
 import numpy as np
+import time
 
 # Performs classification using Logistic Regression.
 

lstm.py

@@ -7,7 +7,7 @@
 from keras.layers import LSTM
 import utils
 from keras.preprocessing.sequence import pad_sequences
-
+import time
 # Performs classification using LSTM network.
 
 FREQ_DIST_FILE = '../train-processed-freqdist.pkl'

naivebayes.py

@@ -4,6 +4,7 @@
 from sklearn.naive_bayes import MultinomialNB
 from scipy.sparse import lil_matrix
 from sklearn.feature_extraction.text import TfidfTransformer
+import time
 
 # Performs classification using Naive Bayes.
 

neuralnet.py

@@ -4,6 +4,7 @@
 import utils
 import random
 import numpy as np
+import time
 
 # Performs classification using an MLP/1-hidden-layer NN.
 

randomforest.py

@@ -4,6 +4,7 @@
 from sklearn.ensemble import RandomForestClassifier
 from scipy.sparse import lil_matrix
 from sklearn.feature_extraction.text import TfidfTransformer
+import time
 
 # Performs classification using RandomForest classifier.
 

svm.py

@@ -4,6 +4,7 @@
 import numpy as np
 from scipy.sparse import lil_matrix
 from sklearn.feature_extraction.text import TfidfTransformer
+import time
 
 # Performs classification using SVM.
 

xgboost.py

@@ -4,6 +4,7 @@
 from xgboost import XGBClassifier
 from scipy.sparse import lil_matrix
 from sklearn.feature_extraction.text import TfidfTransformer
+import time
 
 # Performs classification using XGBoost.