def __init__(self, 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=1000, shuffle=True,
random_state=None, tol=1e-4, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True,
early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-8):
_MLPRegressor.__init__(
self, hidden_layer_sizes, activation, solver, alpha, batch_size, learning_rate, learning_rate_init,
power_t, max_iter, shuffle, random_state, tol, verbose, warm_start, momentum,
nesterovs_momentum, early_stopping, validation_fraction, beta_1, beta_2, epsilon)
BaseWrapperReg.__init__(self)
