# Generated by roxygen2: do not edit by hand

S3method("gradient<-",default)
S3method("is.convex<-",default)
S3method("lvalue<-",default)
S3method(gradient,default)
S3method(is.convex,default)
S3method(lines,roc.stat)
S3method(lvalue,default)
S3method(plot,roc.stat)
S3method(predict,binaryClassificationLoss)
S3method(predict,linearRegressionLoss)
S3method(predict,logisticLoss)
S3method(predict,mmc)
S3method(predict,multivariateHingeLoss)
S3method(predict,ontologyLoss)
S3method(predict,ordinalRegressionLoss)
S3method(predict,preferenceLoss)
S3method(predict,rocLoss)
S3method(predict,softMarginVectorLoss)
S3method(predict,softmaxLoss)
S3method(predict,svmLP)
S3method(predict,svmMLP)
S3method(print,roc.stat)
export("gradient<-")
export("is.convex<-")
export("lvalue<-")
export(balanced.cv.fold)
export(balanced.loss.weights)
export(bhattacharyya.coefficient)
export(costMatrix)
export(epsilonInsensitiveRegressionLoss)
export(fbetaLoss)
export(gradient)
export(hclust_fca)
export(hellinger.dist)
export(hingeLoss)
export(is.convex)
export(iterative.hclust)
export(ladRegressionLoss)
export(lmsRegressionLoss)
export(logisticLoss)
export(lvalue)
export(mmc)
export(mmcLoss)
export(multivariateHingeLoss)
export(nrbm)
export(nrbmL1)
export(ontologyLoss)
export(ordinalRegressionLoss)
export(preferenceLoss)
export(quantileRegressionLoss)
export(rank.linear.weights)
export(roc.stat)
export(rocLoss)
export(rowmean)
export(softMarginVectorLoss)
export(softmaxLoss)
export(svmLP)
export(svmMulticlassLP)
export(wolfe.linesearch)
import(LowRankQP)
import(Rcpp)
import(lpSolve)
import(matrixStats)
import(parallel)
importFrom(graphics,lines)
importFrom(graphics,plot)
importFrom(methods,as)
importFrom(stats,as.dist)
importFrom(stats,dist)
importFrom(stats,hclust)
importFrom(stats,p.adjust)
importFrom(stats,pnorm)
importFrom(stats,prcomp)
importFrom(stats,sd)
importFrom(utils,head)
importFrom(utils,setTxtProgressBar)
importFrom(utils,txtProgressBar)
useDynLib(bmrm)
