smoothness() was added.param_set() is being renamed parameters(). The old name implied that you only use it to set parameters (say from a recipe or model rather than de novo). param_set() will be available until version 0.0.5.
The range for num_hash() was increase to be 2^8 to 2^12.
The range for max_tokens() was changed to be 0 to 1000.
offset() has been renamed kernel_offset() to avoid name conflicts.All parameter objects are now parameter functions. For example, the pre-configured object mtry is now a function, mtry(), with arguments for the range and the trans. This provides greater flexibility in parameter creation, and should feel more natural.
deg_free() erroneously produced real values; integers are now returned.
Default ranges were changed for learn_rate() and neighbors() were changed.
update.param_set() now takes multiple named arguments.
Two functions for space-filling designs were added: grid_max_entropy() and grid_latin_hypercube().
A data set was added for modeling ridership on the Chicago L trains.
spline_degree(), over_ratio(), under_ratio(), freq_cut(), unique_cut(), num_breaks(), min_unique(), num_hash(), signed_hash(), sample_prop(), window_size(), min_dist(), and degree_int() were added.Parameter objects now contain code to finalize their values and a number of helper functions for certain data-specific parameters. A force option can be used to avoid updating the values.
Parameter objects are printed differently inside of tibbles.
regularization was changed to penalty in a few models to be consistent with this change.
batch_size and threshold were added.
Added a set of parameters for the textrecipes package issue 16.