Nothing
bmr.locate.training.executable <- function(hint=NULL){
if (!is.null(hint))
exec <- hint
else {
if (.Platform$OS.type=="windows")
exec <- system.file("exec/BMRtrain.exe", package="austin")
else
exec <- system.file("exec/BMRtrain_osx", package="austin")
## exec <- system.file("exec/BMRtrain4.0", package="austin")
}
if (is.null(exec) || exec == "")
stop("Could not find executable")
return(exec)
}
bmr.locate.test.executable <- function(hint=NULL){
if (!is.null(hint))
exec <- hint
else {
if (.Platform$OS.type=="windows")
exec <- system.file("exec/BMRclassify.exe", package="austin")
else
exec <- system.file("exec/BMRclassify_osx", package="austin")
##exec <- system.file("exec/BMRclassify4.0", package="austin")
}
if (is.null(exec) || exec == "")
stop("Could not find executable")
return(exec)
}
bmr.classify <- function(datafile, modelfile, resultfile,
verbose=2,
test.exec=NULL){
exec <- bmr.locate.test.executable(test.exec)
comm <- paste(shQuote(exec),
"-r", shQuote(resultfile),
"-l", shQuote(verbose),
shQuote(datafile),
shQuote(modelfile))
print(paste("Running command:\n", comm))
system(comm)
}
bmr.help <- function(train.exec=NULL){
exec <- bmr.locate.training.executable(train.exec)
system(paste(shQuote(exec), "--h"))
}
bmr.train <- function(datafile, modelfile, resultfile,
prior=c("laplace", "gaussian"),
verbose=2,
train.exec=NULL,
pars=NULL){
pr <- match.arg(prior)
if (pr == "laplace")
pchoice <- 1
else
pchoice <- 2
exec <- bmr.locate.training.executable(train.exec)
comm <- paste(shQuote(exec),
"-p", pchoice,
"-r", shQuote(resultfile),
"-l", verbose,
pars,
shQuote(datafile),
shQuote(modelfile))
print(paste("Running the command:\n", comm))
system(comm)
}
bmr.results <- function(filename){
f <- file(filename, 'r')
cv <- read.table(filename)
colnames(cv) <- c("True", rep("Prob.", colnames(cv)-2), "Predicted")
cv
}
bmr.clinton <- function(ctrain.y, ctrain.x, ctest.y, ctest.x){
wfm2bmr(ctrain.y+2, ctrain.x, "bmr.clinton.data.txt")
bmr.train("bmr.clinton.data.txt",
"bmr.clinton.model.txt",
"bmr.clinton.results.txt",
prior="laplace",
verbose=2)
wfm2bmr(ctest.y+2, ctest.x, "bmr.clinton.testdata.txt")
bmr.classify("bmr.clinton.testdata.txt",
"bmr.clinton.model.txt",
"bmr.test.testresults.txt",
verbose=2)
}
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