1.源码实现
import imp
import numpy as np
from sklearn.neural_network import MLPClassifier
X = [[0,1,1],
[0,1,0],
[0,0,0],
[0,0,1]]
y = [1,1,0,1]
clf = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5,2), random_state=1)
clf.fit(X, y)
print(clf.predict([[0,1,0], [0,1,1], [0,0,0], [1,0,1]]))
2.运行及其结果
$ python3 example.py
[1 1 0 1]
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