python-scikit-learnNeural network example
from sklearn import neural_network
X = [[0., 0.], [1., 1.]]
y = [0, 1]
nn = neural_network.MLPClassifier(solver='lbfgs')
nn.fit(X, y)
y_pred = nn.predict(X)ctrl + cfrom sklearn importimport module from scikit-learn | .MLPClassifier(creates multi-layer perceptron neural network model |
.fit(train transformation model | .predict(predict target variable based on given features dataset |
Usage example
from sklearn import neural_network
X = [[0., 0.], [1., 1.]]
y = [0, 1]
nn = neural_network.MLPClassifier(solver='lbfgs')
nn.fit(X, y)
print(nn.predict(X))output
[0 1]
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