The grid_*()
functions no longer generate subclassed tibbles.
predictor_prop()
was added.
The levels
argument for tune_grid()
can now handle a named vector, to account for differences in ordering.
The range of dist_power()
was changed so that the lower limit is 1.
The deprecation period for margin()
is over; please use svm_margin()
instead.
When kept in the original units, a parameter’s range must now be the same data type as the parameter.
Renamed margin()
to svm_margin()
(@gabrielodom and @gralgomez, #85)
A bug in space filling designs with qualitative parameters was fixed (#94)
A better error message was created when grids are used with parameters sets that contain parameters that require finalization (#99)
Space-filling desings now share the same attributes as other grid objects (#100)
The range for sample_frac()
was fixed (#96)
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.