训练模型的保存与恢复

from sklearn.externals import joblib
import os
 
os.chdir('E:/Academic/Graduation thesis/dataset/train file')
joblib.dump(grid_search,'grid_search_model.m')
clf=joblib.load('grid_search_model.m')

from svmutil import *
from svm import *
#svm_read_problem!
model=svm_train(y_train,x_train,'-c 5')
#将训练产生的model保留成为文件
#svm_save_model('AAC_25PDB_basic.model', m)
#读取保存的model
#model = svm_load_model('AAC_25PDB_basic.model')
#p_label,p_acc,p_val=svm_predict(y_train,x_train,model)
p_label,p_acc,p_val=svm_predict(y_test,x_test,model)
print(p_acc)