# -*- coding: UTF-8 -*-
import scipy.io as sio
import numpy as np
from scipy import stats
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import chi2
from sklearn.feature_selection.univariate_selection import f_classif
test_set = sio.loadmat('/run/media/zlf/WMU1/Examples/PathologicalSection/PulmonarySquamousCellCarcinoma/OpticalParameters/CrossValidation1/WithoutAugment/SVM/dataset_test.mat')
print( test_set.keys() )
test_set = test_set['dataset_test'];
train_set = sio.loadmat('/run/media/zlf/WMU1/Examples/PathologicalSection/PulmonarySquamousCellCarcinoma/OpticalParameters/CrossValidation1/WithoutAugment/SVM/dataset_train.mat')
print( train_set.keys() )
train_set = train_set['dataset_train'];
data_set = np.vstack((test_set,train_set))
a =