For uwot::umap() and embed::step_umap(), this is a weighting factor
between data topology and target topology. A value of 0.0 weights entirely
on data, a value of 1.0 weights entirely on target. The default of 0.5
balances the weighting equally between data and target.
target_weight(range = c(0, 1), trans = NULL)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.
This parameter is used in recipes via embed::step_umap().
target_weight()
#> Proportion Supervised (quantitative)
#> Range: [0, 1)