fixing tree bugs
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@ -217,20 +217,23 @@ multiSiteCalib <- function(measurements,
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write.csv(results,"result.csv")
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calibrationPar <- future::value(fut[[1]], stdout = FALSE, signal=FALSE)[["calibrationPar"]]
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notForTree <- c(seq(from = (length(calibrationPar)+1), length.out=3))
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notForTree <- c(notForTree,which(sapply(seq_along(results),function(i){sd(results[,i])==0})))
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# notForTree <- numeric(0)
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notForTree <- c(notForTree,which(sapply(seq_along(calibrationPar),function(i){sd(results[,i])==0})))
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treeData <- results[,-notForTree]
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treeData$failType <- as.factor(treeData$failType)
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rp <- rpart(failType ~ .,data=treeData,control=treeControl)
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svg("treeplot.svg")
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rpart.plot(rp)
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dev.off()
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treeData["failType"] <- as.factor(results$failType)
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if(ncol(treeData) > 4){
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rp <- rpart(failType ~ .,data=treeData,control=treeControl)
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svg("treeplot.svg")
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rpart.plot(rp)
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dev.off()
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}
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origModOut <- future::value(fut[[1]], stdout = FALSE, signal=FALSE)[["origModOut"]]
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# Just single objective version TODO:Multiobjective
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results <- results[results[,"Const"] == 1,]
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if(nrow(results)==0){
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stop("No simulation suitable for constraints\n Please see treeplot.png for explanation")
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stop("No simulation suitable for constraints\n Please see treeplot.png for explanation, if you have more than four parameters.")
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}
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bestCase <- which.max(results[,ncol(results)-2])
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bestCase <- which.max(results[,ncol(results)-3])
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parameters <- results[bestCase,1:(ncol(results)-4)] # the last two column is the (log) likelihood and the rmse
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#TODO: Have to put that before multiSiteThread, we should not have to calculate it at every iterations
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