similar to: svm regression/classification

Hi everyone, Can someone please help me in these questions?: 1)if I use crossvalidation with svm, do I have to use this equation to calculate RMSE?: mymodel <- svm(myformula,data=mydata,cross=10) sqrt(mean(mymodel$MSE)) But if I don’t use crossvalidation, I have to use the following to calculate RMSE: mymodel <- svm(myformula,data=mydata) mytest

Hi, Could you please help me in solving the following error message: Error in `[.data.frame`(mytestdata, fp_temp == 1) : undefined columns selected when I use scan instead on read.table, I reicieve this message: Error in names(ret2) <- rowns : 'names' attribute [172] must be the same length as the vector [152] Many thanks, Nancy

Yet another question... I'm wondering if there is a built in facility to log errors. I've got this statement that gives me verbose DBI errors as they come up (to standard output), but I'd like to trap and log them to a file as I running about 3000000 sql statements through this particular piece of code and I'd like to keep the loop going and deal with all the errors once the

Hello all. I have this code: myLOOCV <- function(myformula, data) { Y <- all.vars(myformula)[1] Scores<- numeric(length(data[,1])) for (i in 1:length(data[,1])) { train <- data[-i,] test <- data[i,] myModel <- lrm(myformula, train) Scores[i] <- predict(myModel, test,type="mean") }

Hi, Could you please tell me how I correct the following error message? “Error in object$tables[[v]] : subscript out of bounds” This is the code: library(e1071) data(iris) attach(iris) class_label <- names(iris)[1] myformula <- formula(paste(class_label,"~ .")) mymodel<-naiveBayes(myformula, iris,cross=3) predict(mymodel,iris) ##Error in object$tables[[v]] :

Hi, First of all, I'm a complete rookie to R (~2 weeks). But anyway, I'm trying to use the RWeka interface for C4.5 (J48) classification. As a proof of concept I'm using the Iris data set to create a training set of 30 instances (10 per species) and use the remaining 120 instances as my test set. This is what I do: trainingIndices <- rep(1:10, 3) + rep(0:2, each=10) * 50

Philipp Benner reported a Debian bug report against r-cran-rpart aka rpart. In short, the issue has to do with how rpart evaluates a formula and supporting arguments, in particular 'weights'. A simple contrived example is ----------------------------------------------------------------------------- library(rpart) ## using data from help(rpart), set up simple example myformula <-

Hi, everyone When I was using cv.lm(DAAG) , I found there might be something wrong with it. The problem is that we can't use it to deal with a linear model with more than one predictor variable. But the usage documentation hasn't informed us about this. You can find it by excuting the following code: xx=matrix(rnorm(20*3),ncol=3) bb=c(1,2,0) yy=xx%*%bb+rnorm(20,0,10)

Dear All, I have a question about formulas and model.matrix(). If one specifies a model via a formula, the corresponding design matrix can be obtained with the model.matrix() function. For example: x1 <- c(1,4,2,3,5) x2 <- c(1,1,2,2,2) myformula <- ~ x1 + factor(x2) model.matrix(myformula) My question is: If an intercept term is in the model (like in the example above), is it always

Hi, I am passing a data frame and field name to a function. I've figured out how I can create the formula based on the passed in field name, but I'm struggling to create a vector based in that field. for example if I hard code with the actual field name Y = df$Target, everything works fine. but if I use the passed in parameter name, it doesn't give me what I want, Y = df$mytarget

Dear R-list, I'm not sure what I've found about a function in DAAG package is a bug. When I was using cv.lm(DAAG) , I found there might be something wrong with it. The problem is that we can't use it to deal with a linear model with more than one predictor variable. But the usage documentation hasn't informed us about this. The code illustrates my discovery: > library(DAAG)

Hi, I am passing a data frame and field name to a function. I've figured out how I can create the formula based on the passed in field name, but I'm struggling to create a vector based in that field. for example if I hard code with the actual field name Y = df$Target, everything works fine. but if I use the passed in parameter name, it doesn't give me what I want, Y =

Hi, -- Best Regards, Yu Rong Tan

Dear list, git checkout llvmorg-8.0.0 -b llvm8.0 cmake -G "Unix Makefiles" ../llvm-project/llvm -DCMAKE_BUILD_TYPE=Debug -DLLVM_ENABLE_PROJECTS="clang;lld" -DLLVM_TARGETS_TO_BUILD="X86;NVPTX;AMDGPU;ARM;AArch64" [arm.cpp] #define vst4_lane_f16(__p0, __p1, __p2) __extension__ ({ \ float16x4x4_t __s1 = __p1; \ __builtin_neon_vst4_lane_v(__p0, __s1.val[0],

Hi, I do not get your result. Do I miss something? $COMP_ROOT/clang++ --target=arm-arm-eabihf -march=armv8.2a+fp16 arm.cpp -S -o - -O3 .text .syntax unified .eabi_attribute 67, "2.09" .eabi_attribute 6, 14 .eabi_attribute 7, 65 .eabi_attribute 8, 1 .eabi_attribute 9, 2 .fpu crypto-neon-fp-armv8 .eabi_attribute 12, 4

Hi, The full trace stack: Type set is empty for each HW mode: possible type contradiction in the pattern below (use -print-records with llvm-tblgen to see all expanded records). vtInt: (vt:{ *:[Other] }) UNREACHABLE executed at /home/nancy/work/rpp_clang/llvm/utils/TableGen/CodeGenDAGPatterns.cpp:824! [ 85%] Building X86GenEVEX2VEXTables.inc... &nbsp;#0 0x000000000081b9b5

Hi Krzysztof, Today I try it on llvm9.0.0 version. &nbsp; def bos : RPPInstMMEMrr<OPC_STORE, &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; (outs), (ins MGPR:$rs1, SGPR32:$rbase, MGPR:$roffset, uimm2:$rshift), &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; !strconcat(opcodestr, ""), "$rs1,

On Sat Jan 10 2015 at 5:21:33 AM Kevin Korb <kmk at sanitarium.net> wrote: > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > What does --itemize-changes say about that file? Try using the stat > command on the various copies of it to see what is different about them. > In my original message, I stated I used --itemize-changes, and I reported the following: >

def STOREbos { // InstructionEncoding Instruction RPPInst RPPInstMMEMrr &nbsp; field bits<32&gt; Inst = { 0, 0, 0, 1, rs1{2}, rs1{1}, rs1{0}, index{0}, 0, 0, 0, 1, 0, rbase{3}, rbase{2}, rbase{1}, rbase{0}, rbase{4}, roffset{4}, roffset{3}, roffset{2}, roffset{1}, roffset{0}, 0, 0, 0, 0, 0, 0, 0, 0, 0 }; &nbsp; field bits<32&gt; SoftFail = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

What I did. Sudo apt-get install wine insert CD for Nancy Drew Warnings at Waverly Academy. Copy all file from CD to folder on desktop marked nancy Drew eject, do same with #2 CD go to Nancy Drew (on desktop) Setup.exe Properties, Allow to run as Exucable file. then opened it with WINE. install completed and icons are on desktop when i sleectecd ''run Nancy drew from the install before it