weight: Parameter for '"double normalization"' when creating token...
In dials: Tools for Creating Tuning Parameter Values
weight R Documentation
Parameter for "double normalization" when creating token counts
Description
Used in textrecipes::step_tf().
Usage
weight(range = c(-10, 0), trans = transform_log10())
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
weight()
dials documentation built on Sept. 11, 2024, 8:25 p.m.
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| weight | R Documentation |
Parameter for "double normalization" when creating token counts
Description
Used in textrecipes::step_tf().
Usage
weight(range = c(-10, 0), trans = transform_log10())
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
weight()
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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