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Added a convenience function,
brulee_mlp_two_layer(), to more easily fit two-layer
networks with parsnip.
Various changes and improvements to error and warning messages.
Fixed a bug that occurred when linear activation was used for neural networks (#68).
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.