regularization_factor | R Documentation |
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)
range |
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. |
trans |
A |
values |
For |
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"
.
regularization_factor()
regularize_depth()
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