multilayer perceptron classifier Algorithm
The term MLP is used ambiguously, sometimes loosely to refer to any feedforward ANN, sometimes strictly to refer to networks composed of multiple layers of perceptrons (with threshold activation); see § terminology. A multilayer perceptron (MLP) is a class of feedforward artificial neural network (ANN).
from sklearn.neural_network import MLPClassifier
X = [[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
y = [0, 1, 0, 0]
clf = MLPClassifier(
solver="lbfgs", alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1
)
clf.fit(X, y)
test = [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
Y = clf.predict(test)
def wrapper(Y):
"""
>>> wrapper(Y)
[0, 0, 1]
"""
return list(Y)
if __name__ == "__main__":
import doctest
doctest.testmod()
