rules 1.0.3

• Allow for objective to be passed through xrf_fit(). (#96)

rules 1.0.2

• Updated Authors@R.

rules 1.0.1

• The tidy() method for RuleFit models was not using the penalty value. This is corrected and a single penalty value is required for using the function. (#66)

• Fixed bug where predict sometimes didn’t work for xrf models.

• C50 tree tidy() method nor works with threes by showing terminal nodes in rules.

rules 1.0.0

• tidy() method for Cubist models now has an option for how many committees to tidy.

• Added a tidy() method for C5.0 rule-based models.

• The mtry_prop parameter was moved to the dials package and is now re-exported here for backward compatibility.

• A bug was fixed related to multi_predict() with C5.0 rule-based models (#49).

• The mtry argument is now mapped to colsample_bynode rather than colsample_bytree. This is consistent with parsnip’s interface to xgboost as of parsnip 0.1.6. colsample_bytree can still be optimized by passing it in as an engine argument to set_engine() (#60).

• Introduced support for early stopping in rule_fit() via the stop_iter argument. See parsnip::details_rule_fit_xrf. Note that this is a main argument to rule_fit() requiring parsnip 1.0.0.

rules 0.2.0

• Model definition functions (e.g. cubist_rules()) were moved to the parsnip package.

rules 0.1.2

• Maintenance release demanded by CRAN.

rules 0.1.1

• Added tidy() methods for cubist and RuleFit models to get back the rules and model coefficients.

• Clean up tunable() methods that define the default parameter ranges for the tuning parameters.

• Changes to test for cases when CRAN cannot get xgboost to work on their Solaris configuration.

• Case weights were enabled for [C5_rules()] and [cubist_rules()].

rules 0.1.0

• The default encoding methods were changed such that parsnip will respect the encoding that the underlying model uses.

rules 0.0.3

• Documentation changes (some demanded by CRAN).

• Changes to make rules work well with PSOCK cluster parallelism.

rules 0.0.2

• Changes for new dplyr version.

rules 0.0.1

• First CRAN release