def TestFeatureSelection():
data = Data("cs_170_small80.txt")
dat = data.preprocess()
print dat.shape
print "dat type: ", type(dat)
col_nums = dat.shape[1]
feature_indices = []
for d in range(col_nums):
feature_indices.append(d)
print data.selectFeature(dat,feature_indices )
def TestClassifier():
data = Data("cs_170_small80.txt")
start = time.time()
d = data.selectFeature(data.data, [0,5,3,7])
validator = LeaveOneOutValidator(d, KnearestNeighbor)
print validator.validate()
print "time: ", time.time() -start