def ada_boosting(args):
path_train=args.train_file
path_test=args.test_file
T=args.iteration
adaboost=adaboostMM(int(T))
MNIST_train, Y_train=adaboost.read_MnistFile(path_train)
adaboost.fit(MNIST_train,Y_train)
MNIST_test, Y_test=adaboost.read_MnistFile(path_test)
csoaa_test=adaboost.test_process(MNIST_test)
pred_label=adaboost.ada_classifier(csoaa_test)
print 'the accuracy is ', float(sum(pred_label==(Y_test+1)))/len(pred_label)
def plot_accuracy_rate(args):
path_train=args.train_file
path_test=args.test_file
accuracys=[]
T=int(args.iteration)
for i in range(T):
adaboost=adaboostMM(T)
MNIST_train, Y_train=adaboost.read_MnistFile(path_train)
adaboost.fit(MNIST_train,Y_train)
MNIST_test, Y_test=adaboost.read_MnistFile(path_test)
csoaa_test=adaboost.test_process(MNIST_test)
pred_label=adaboost.ada_classifier(csoaa_test)
accuracy=float(sum(pred_label==(Y_test+1)))/len(pred_label)
print accuracy
accuracys.append(accuracy)
print accuracys
