from random import sample
from sklearn.datasets import load_iris ##导入鸢尾花数集
from sklearn.neural_network import MLPClassifier ## 导入神经网络包
yuanweihua = load_iris()
#print(yuanweihua)
chouyang1 = sample(range(0,50),40)
chouyang1.extend(sample(range(50,100),40))
chouyang1.extend(sample(range(100,150),40)) ##抽样集训练样本编号
jianceji = [ i for i in chouyang1 if i not in chouyang1]
tr_in = yuanweihua.data[chouyang1]
tr_out = yuanweihua.target[chouyang1]
te_in = yuanweihua.data[jianceji]
te_out = yuanweihua.target[jianceji]
modle = MLPClassifier(hidden_layer_sizes = 10 , max_iter = 10000).fit(tr_in,tr_out)
res = modle.predict(te_in)
#print(res)
#print(te_out)
#print(sum(res == te_out) / len(res))
