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 = transform_log10())
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)
An object of class character of length 3.
An object of class character of length 4.
An object of class character of length 7.
A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units.
A trans object from the scales package, such as
scales::transform_log10() or scales::transform_reciprocal(). 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.
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".
regularization_factor()
regularize_depth()
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