NEWS.md

In brulee: High-Level Modeling Functions with 'torch'

brulee (0.5.0)

• Removed a unit test for numerical overflow since it occurs less frequently and has become increasingly more challenging to reproduce.

brulee 0.4.0

• 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).

brulee 0.3.0

• 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).

brulee 0.2.0

• 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.

brulee 0.1.0

• 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)

brulee 0.0.1

First CRAN release.

brulee documentation built on April 12, 2025, 2:27 a.m.