def rs_svm_large_file(train_file, test_file, kernel):
print("Ramdom Sampling SVM for large dataset")
start_time = time.time()
RS_SVM = RandomSamplingSVM(kernel)
model = RS_SVM.train_large_file(train_file, debug=True, temp_folder='./')
print("Remain SVs: " + str(model.n_support_))
print("Training time: %s" % (time.time() - start_time))
X_test, y_test = datasets.load_svmlight_file(test_file)
ratio = model.score(X_test,y_test)
print("Accuracy %f" % ratio)
print("Total time: %s" % (time.time() - start_time))
