def get_feature_data(dir_path):
data = get_data(dir_path)
data = correct_student_answers(data)
feature_data = []
for data_point in data:
feature_data += get_single_data(data_point)
return feature_data
def get_feature_data(dir_path): data = get_data(dir_path) data = correct_student_answers(data) feature_data = [] for data_point in data: feature_data += get_single_data(data_point) return feature_data
def get_feature_data(dir_path): data = get_data(dir_path) data = correct_student_answers(data) # initialise_model(data) feature_data = [] counter = 0 last = 0 for i in range(len(data)): if (i*10)/len(data)>last: last = (i*10)/len(data) print str(last)+"0% completed" feature_data += get_single_data(data[i]) print "feature extraction complete" return feature_data