ml: Machine learning framework using caret package

In ntels-BI/ntelsBI: Analysis R package for ntels Business Intelligence Team

Description

<ec><98><88><ec><b8><a1><ec><9d><98> <eb><8c><80><ec><83><81><ec><9d><b4><eb><90><98><eb><8a><94> <ec><a3><bc><ea><b4><80><ec><8b><ac><eb><b3><80><ec><88><98><eb><a5><bc> <ea><b8><b0><ec><a4><80><ec><9c><bc><eb><a1><9c> <eb><8f><99><eb><93><b1><eb><b9><84><ec><9c><a8><ec><9d><b4> <eb><90><98><ea><b2><8c> Training set <ea><b3><bc> Test set <ec><9d><84> <eb><b6><84><eb><a6><ac><ec><8b><9c><ed><82><a8> <ed><9b><84> Training set <ec><97><90> <eb><8c><80><ed><95><b4><ec><84><9c><eb><a7><8c> <ed><95><99><ec><8a><b5><ec><8b><9c><ed><82><a8> <ea><b2><b0><ea><b3><bc><eb><a5><bc> list <ed><98><95><ec><9c><bc><eb><a1><9c> <eb><b0><98><ed><99><98><ed><95><a9><eb><8b><88><eb><8b><a4>. <eb><8b><a8> Test set <ec><9d><80> <eb><b0><98><ed><99><98><eb><90><98><eb><8a><94> <eb><a6><ac><ec><8a><a4><ed><8a><b8><ec><9d><98> <ec><86><8d><ec><84><b1><ea><b0><92><ec><9c><bc><eb><a1><9c> <ec><a0><80><ec><9e><a5><eb><90><a9><eb><8b><88><eb><8b><a4>.

Usage

ml(data, class, method = "rpart", partitionRate = 0.7, tuneLength = 5,
  fitImage = NULL, ...)

Arguments

data	a data.frame.
class	a character. Input the class Y variable names
method	choice machine learning algorithm method
fitImage	a character. Input filename for chaching fit Object

Value

list type <ec><9d><b4> <eb><b0><98><ed><99><98><eb><90><98><eb><82><98> ml <ed><81><b4><eb><9e><98><ec><8a><a4> <ec><9e><85><eb><8b><88><eb><8b><a4>.

Examples

ml(iris, "Species")

ntels-BI/ntelsBI documentation built on May 24, 2019, 2:49 p.m.