Regularization was just an example of previous missing features trying to match sklearn models.
I was rather referring to these arguments:
alpha=0.0001, batch_size='auto', beta_1=0.9,
beta_2=0.999, epsilon=1e-08,
max_fun=15000, max_iter=40, momentum=0.9,
n_iter_no_change=10, nesterovs_momentum=True, power_t=0.5,