learnerSchema-class: Class "learnerSchema" - convey information on a machine...

In lgatto/MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

Description

conveys information about machine learning functions in CRAN packages, for example, to MLearn wrapper

Objects from the Class

Objects can be created by calls of the form new("learnerSchema", ...).

Slots

packageName:

Object of class "character" string naming the package in which the function to be used is defined.

mlFunName:

Object of class "character" string naming the function to be used

converter:

Object of class "function" function with parameters obj, data, trainInd, that will produce a classifierOutput instance

Methods

MLearn

signature(formula = "formula", data = "ExpressionSet", method = "learnerSchema", trainInd = "numeric"): execute desired learner passing a formula and ExpressionSet

MLearn

signature(formula = "formula", data = "data.frame", method = "learnerSchema", trainInd = "numeric"): execute desired learner passing a formula

show

signature(object = "learnerSchema"): concise display

Author(s)

Vince Carey <[e-mail]>

Examples

showClass("learnerSchema")

lgatto/MLInterfaces documentation built on May 21, 2019, 5:12 a.m.