# -------------------------------------------------------------------------------
# This file is part of Rotsf.
#
# Rotsf is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Rotsf is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Rotsf. If not, see <http://www.gnu.org/licenses/>.
#
# Written by:
#
# Hong Wang
#
# http://www.csu.edu.cn
# wh@csu.edu.cn
# -------------------------------------------------------------------------------
##' Prediction with new data and return a saved forest with mean hazard function
##' @export
rotsfpca.predict <-
function(rotsffit,newdata,trlength=500){
trees=rotsffit$pectrees
rotms=rotsffit$rotms
rii=rotsffit$rii
if (trlength>length(rotsffit$rotms))
stop("Number of Trees for prediction should not be more than Number of Trees Fitted")
# classify the test data
testpre<-NULL
for (i in 1:trlength) {
#if (oobacc[i]<=avroobacc)
{
# preparing for testing
rmatrix2=as.matrix(newdata) %*% t(rotms[[i]])
rmatrixnew2=as.data.frame(rmatrix2)
colnames(rmatrixnew2)=colnames(newdata)
predicts<-predict(trees[[i]]$rpart,rmatrixnew2)
testpre<-cbind(predicts,testpre)
}
}
ensemble_predictions<-rowMeans(testpre)
return(ensemble_predictions)
}
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