score(X, y):返回给定测试数据和标签的平均准确度。 set_params():设置参数。 from sklearn.neural_network import MLPClassifier X =[[0., 0.], [1., 1.]]y = [0,1] clf = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5,2), random_state=1) clf.fit(X, y) clf....
MLPClassifier是一个监督学习算法,下图是只有1个隐藏层的MLP模型 ,左侧是输入层,右侧是输出层。 上图的整体结构可以简单的理解为下图所示: MLP又名多层感知机,也叫人工神经网络(ANN,Artificial Neural Network),除了输入输出层,它中间可以有多个隐藏层,如果没有隐藏层即可解决线性可划分的数据问题。最简单的MLP模型只...
batch_sizeint, default=’auto’ Size of minibatches for stochastic optimizers. If the solver is ‘lbfgs’, the classifier will not use minibatch. When set to “auto”, .batch_size=min(200,n_samples) learning_rate{‘constant’, ‘invscaling’, ‘adaptive’}, default=’constant’ Learning...
set_params():设置参数。 from sklearn.neural_network import MLPClassifier X =[[0., 0.], [1., 1.]]y = [0,1] clf = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5,2), random_state=1) clf.fit(X, y) clf.predict([[2., 2.], [-1., -2.]])...
sklearn.neural_network.MLPClassifier参数说明⽬录 sklearn.neural_network.MLPClassifier MLPClassifier(hidden_layer_sizes=(100, ), activation='relu',solver='adam', alpha=0.0001, batch_size='auto',learning_rate='constant', learning_rate_init=0.001,power_t=0.5, max_iter=200, shuffle=True,ra...