reRank(fss)doMulti function call.doMulti,
a set of ranked features gets returned for each one of the
total number of levels in the $defineCase factor. In
order to proceed with model deployment (at least in the setting
of a conventional pipeline where feature selection occurs
prior to classifier construction), multiple feature rankings
would need to get serialized into a single feature rank list.
reRank accomplishes this by calculating the rank sum
for each feature across all "1 vs. all" feature selection
tasks. Features found in one rank list but not in another
receive a numeric rank equal to one more than the maximum rank
in that feature rank list. The presence of a NA placeholder
(see: doMulti) will not impact reRank.We note here, however, that a better approach would deploy
"1 vs. all" feature selection and classifier construction
simultaneously, rather than "1 vs. all" feature selection
followed by "1 vs. all" classifier construction. This is
now implemented as plGridMulti.
fs
build
doMulti
exprso-predict
plCV
plGrid
plGridMulti
plMonteCarlo
plNested