fsBalance: Convert Features into Balances

In tpq/exprso: Rapid Deployment of Machine Learning Algorithms

Description

fsBalance converts features into balances. The balance rule is saved and deployed automatically by the predict method during test set validation.

Usage

fsBalance(object, top = 0, sbp.how = "sbp.fromPBA", ternary = FALSE,
  ratios = FALSE, ...)

Arguments

object	An ExprsArray object to undergo feature selection.
top	A numeric scalar or character vector. A numeric scalar indicates the number of top features that should undergo feature selection. A character vector indicates specifically which features by name should undergo feature selection. Set top = 0 to include all features. A numeric vector can also be used to indicate specific features by location, similar to a character vector.
sbp.how	A character string. The method used to build the serial binary partition matrix of balances. Any balance::sbp.from* function will work.
ternary	A boolean. Toggles whether to return balances representing three components. Argument passed to balance::sbp.subset. Set ternary = FALSE and ratios = FALSE to skip subset.
ratios	A boolean. Toggles whether to return balances representing two components. Argument passed to balance::sbp.subset. Set ternary = FALSE and ratios = FALSE to skip subset.
...	Arguments passed to the detailed function.

Value

Returns an ExprsArray object.

tpq/exprso documentation built on July 27, 2019, 8:44 a.m.