objective to be passed through
xrf_fit(). (#96)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.
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.
cubist_rules()) were
moved to the parsnip package.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()].
parsnip will respect the encoding that the underlying model
uses.Documentation changes (some demanded by CRAN).
Changes to make rules work well with PSOCK cluster
parallelism.
dplyr version.
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