from sklearn.neural_network import MLPClassifier
[docs]class MLPClassifierAlgorithm(MLPClassifier):
name = "mlp"
hyperparameters = [
{
"alpha": [0.0001, 0.00005, 0.00001, 0.0000001],
"learning_rate": ["constant", "inv_scaling", "adaptive"],
"early_stopping": [True, False],
}
]
hidden_layer_sizes = (100, 20, 20, 100)
max_iter = 10000
NeuralNetworkClassifierRELU = MLPClassifierAlgorithm(
hidden_layer_sizes=hidden_layer_sizes,
activation="relu",
solver="adam",
max_iter=max_iter,
)
NeuralNetworkClassifierRELU.name = "mlpra"
NeuralNetworkClassifierTanh = MLPClassifierAlgorithm(
hidden_layer_sizes=hidden_layer_sizes,
activation="tanh",
solver="adam",
max_iter=max_iter,
)
NeuralNetworkClassifierTanh.name = "mlpta"