- Added a convenience function,
brulee_mlp_two_layer()
, to more easily fit two-layer networks with parsnip.
-
Fixed bug where
coef()
didn't would error if used on abrulee_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.