min_unique: Number of unique values for pre-processing
In dials: Tools for Creating Tuning Parameter Values
View source: R/param_min_unique.R
min_unique R Documentation
Number of unique values for pre-processing
Description
Some pre-processing parameters require a minimum number of unique data points
to proceed. Used in recipes::step_discretize().
Usage
min_unique(range = c(5L, 15L), trans = NULL)
Arguments
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 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.
Examples
min_unique()
dials documentation built on Sept. 11, 2024, 8:25 p.m.
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View source: R/param_min_unique.R
| min_unique | R Documentation |
Number of unique values for pre-processing
Description
Some pre-processing parameters require a minimum number of unique data points
to proceed. Used in recipes::step_discretize().
Usage
min_unique(range = c(5L, 15L), trans = NULL)
Arguments
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 |
Examples
min_unique()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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