Added

`trim_amount()`

for`recipes::step_impute_mean()`

.Added

`num_runs()`

for`recipes::step_nnmf()`

(#281).Added

`harmonic_frequency()`

for`recipes::step_harmonic()`

(#281).Added

`validation_set_prop()`

for`embed::step_discretize_xgb()`

(#280).

Deprecation of

`pull_dials_object()`

has been escalated to an error. Please use`extract_parameter_dials()`

instead (#265).The methods

`grid_regular.workflow()`

,`grid_random.workflow()`

,`grid_max_entropy.workflow()`

, and`grid_latin_hypercube.workflow()`

have been deprecated (#302).The constructor functions for single parameters,

`new_quant_param()`

and`new_qual_param()`

, as well as for parameter sets,`parameters_constr()`

, now have improved handling of the call shown in error messages (#291, #295).The constructor for parameter sets,

`parameters_constr()`

, now checks that all inputs have the same length (#295).

Added learning rate scheduler parameters

`rate_decay()`

,`rate_initial()`

,`rate_largest()`

,`rate_reduction()`

,`rate_schedule()`

,`rate_step_size()`

, and`rate_steps()`

for the new brulee functions (#253).Added

`num_clusters()`

parameter for tidyclust models (#259).Added

`num_leaves()`

parameter for lightbgm models (@joeycouse, #256).

The

`default`

argument to the constructors`new_quant_param()`

and`new_qual_param()`

is deprecated.`value_seq()`

now uses the same logic to generate a sequence of parameter values regardless of how long that sequence is (#153, #229).`prior_terminal_node_expo()`

for Bayesian adaptive regression trees (BART) now defaults to a range greater than 1 to limit explosive tree growth (#251).The label for

`spline_degree()`

was improved.

The new parameter

`mtry_prop()`

is a variation on`mtry()`

where the value is interpreted as the proportion (rather than the count) of predictors that will be randomly sampled at each split (#233).`conditional_test_statistic()`

and`conditional_test_type()`

now work with the partykit engine rather than the party engine (#224).`new_quant_param()`

no longer requires`range`

and`inclusive`

if`values`

is supplied (#87).

- The
`Chicago`

data set was removed. It can be found in the`modeldata`

package.

`summary_stat()`

is a new parameter for use in`recipes::step_window()`

.A general

`class_weights()`

parameter was added for imbalanced models.`prior_outcome_range()`

,`prior_terminal_node_coef()`

, and`prior_terminal_node_expo()`

are new parameters for prior distribution specification related to`parsnip::bart()`

.`num_knots()`

and`survival_link()`

are new parameters for spline survival models (@mattwarkentin, #195).`vocabulary_size()`

is a new parameter used in`textrecipes::step_tokenize_sentencepiece()`

and`textrecipes::step_tokenize_bpe()`

.

The new

`extract_parameter_dials()`

method supersedes`pull_dials_object()`

which has been deprecated.`activation()`

now supports values of`"tanh"`

.New link to article explaining how to make custom parameter objects was added to the pkgdown site.

`adjust_deg_free()`

and`select_features()`

for generalized additive models.`conditional_min_criterion`

,`conditional_test_statistic`

,`conditional_test_type`

for models with the`party`

engine.`diagonal_covariance()`

,`regularization_method()`

,`shrinkage_correlation()`

,`shrinkage_frequencies()`

, and`shrinkage_variance()`

for linear and quadratic discriminant analysis.`penalty_L1()`

,`penalty_L2()`

, and`scale_pos_weight()`

for boosted trees with the`xgboost`

engine (@joeycouse, #176).`prior_mixture_threshold()`

and`prior_slab_dispersion()`

for sparse PCA.`stop_iter()`

for early stopping.

Re-licensed package from GPL-2 to MIT. See consent from copyright holders here.

`param_set()`

, scheduled for removal in version 0.0.5, is now removed.

Quantitative parameters now print the number of possible values if they have been set with

`value_set()`

(@kmdupr33, #138).The

`print()`

method for`parameters()`

has changed to be more clear.A new function,

`pull_dials_object()`

was also added.Duplicate parameter combinations are now automatically removed from grid results.

The range for

`epochs()`

was change to start at 10 iterations instead of 1.The lower range for

`spline_degree()`

now starts at 1 instead of 3.The upper range for

`cost()`

now goes to`2^5`

instead of`2^-1`

.

- A number of new parameter objects associated with engine-specific functions were added for engines “ranger”, “randomForest”, “earth” and “C5.0”.

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.

- Quick bug fix release related to range checks in 0.0.5. The check is more forgiving when the required type is integer and a double is provided.

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)

- Parameters
`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.

- Parameters
`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.

- First CRAN version