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rules 1.0.0

CRAN release: 2022-06-23

  • 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

CRAN release: 2022-03-14

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

rules 0.1.2

CRAN release: 2021-08-07

  • Maintenance release demanded by CRAN.

rules 0.1.1

CRAN release: 2021-01-16

  • 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

CRAN release: 2020-10-28

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

rules 0.0.3

CRAN release: 2020-10-02

  • Documentation changes (some demanded by CRAN).

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

rules 0.0.2

CRAN release: 2020-06-10

  • Changes for new dplyr version.

rules 0.0.1

CRAN release: 2020-05-20

  • First CRAN release