This function applies the UMAP algorithm to a symbolic data table.
sym.umap(sym.data, ...)# S3 method for symbolic_tbl
sym.umap(
sym.data = NULL,
config = umap::umap.defaults,
method = c("naive", "umap-learn"),
preserve.seed = TRUE,
...
)
symbolic data table
list of settings; values overwrite defaults from config; see documentation of umap.default for details about available settings
object of class umap.config
character, implementation. Available methods are 'naive' (an implementation written in pure R) and 'umap-learn' (requires python package 'umap-learn')
logical, leave TRUE to insulate external code from randomness within the umap algorithms; set FALSE to allow randomness used in umap algorithms to alter the external random-number generator