brulee_mlp_two_layer(), to more easily fit two-layer networks with parsnip.Fixed bug where coef() didn't would error if used on a brulee_logistic_reg() that was trained with a recipe. (#66)
Fixed a bug where SGD always being used as the optimizer (#61).
Additional activation functions were added (#74).
Several learning rate schedulers were added to the modeling functions (#12).
An optimizer was added to [brulee_mlp()], with a new default being LBFGS instead of stochastic gradient descent.
Modeling functions gained a mixture argument for the proportion of L1 penalty that is used. (#50)
Penalization was not occurring when quasi-Newton optimization was chosen. (#50)
First CRAN release.