These parameters are auxiliary to random forest models that use the "ranger"
engine. They correspond to tuning parameters that would be specified using
set_engine("ranger", ...)
.
regularization_factor(range = c(0, 1), trans = NULL)regularize_depth(values = c(TRUE, FALSE))
significance_threshold(range = c(-10, 0), trans = log10_trans())
lower_quantile(range = c(0, 1), trans = NULL)
splitting_rule(values = ranger_split_rules)
ranger_class_rules
ranger_reg_rules
ranger_split_rules
num_random_splits(range = c(1L, 15L), trans = NULL)
A two-element vector holding the defaults for the smallest and largest possible values, respectively.
A trans
object from the scales
package, such as
scales::log10_trans()
or scales::reciprocal_trans()
. If not provided,
the default is used which matches the units used in range
. If no
transformation, NULL
.
For splitting_rule()
, a character string of possible values.
See ranger_split_rules
, ranger_class_rules
, and ranger_reg_rules
for
appropriate values. For regularize_depth()
, either TRUE
or FALSE
.
An object of class character
of length 4.
An object of class character
of length 3.
An object of class character
of length 7.
To use these, check ?ranger::ranger
to see how they are used. Some are
conditional on others. For example, significance_threshold()
,
num_random_splits()
, and others are only used when
splitting_rule = "extratrees"
.
# NOT RUN {
regularization_factor()
regularize_depth()
# }
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