def getRegularFeatures(data, isTrainData):
data = performRegularFeatureEngineering(data, isTrainData)
# splitting data into X and Y
if 'Category' in data.columns.values:
yData = data.Category
data = data.drop(['Category'], 1)
else:
yData = []
xData = data.values
dataReader.serializeObject(data.columns.values,"data\\misc\\columns.csv")
print "Features used {}".format(data.columns.values)
return xData,yData
