search for: preproc

...ot;/usr/lib/python2.4/site-packages/xen/xm/main.py", line 710, in main rc = cmd(args) File "/usr/lib/python2.4/site-packages/xen/xm/main.py", line 176, in xm_create create.main(args) File "/usr/lib/python2.4/site-packages/xen/xm/create.py", line 825, in main preprocess(opts, opts.vals) File "/usr/lib/python2.4/site-packages/xen/xm/create.py", line 718, in preproc ess preprocess_vifs(opts, vals) File "/usr/lib/python2.4/site-packages/xen/xm/create.py", line 593, in preproc ess_vifs (k, v) = b.strip().split(''='',...

...;) {} > > > > customRF$fit <- function(x, y, wts, param, lev, last, weights, > classProbs, ...) { > > > > randomForest(x, y, maxnodes = param$maxnodes, ntree=param$ntree, ...) > > > > } > > > > customRF$predict <- function(modelFit, newdata, preProc = NULL, > submodels = NULL) > > > > predict(modelFit, newdata) > > > > customRF$prob <- function(modelFit, newdata, preProc = NULL, submodels = > NULL) > > > > predict(modelFit, newdata, type = "prob") > > > > customRF$sort <-...

...DataPartition(y=iris$Species, p=.75, list=FALSE) training1=iris[inTrain1,] testing1=iris[-inTrain1,] ctrl1=trainControl(method="cv", number=10) plsFit2=train(Species~., data=training1, method="pls", trControl=ctrl1, metric="Rsquared", preProc=c("scale")) data(iris) training1=iris[inTrain1,] datvars=training1[,1:4] dat.sc=scale(datvars) n=nrow(dat.sc) dat.indices=seq(1,n) timematrix=with(training1, classvec2classmat(Species[dat.indices])) pls.dat=plsr(timematrix ~ dat.sc, ncomp=3, method="oscorespls",...

...quot;))? customRF$grid <- function(x, y, len = NULL, search = "grid") {} customRF$fit <- function(x, y, wts, param, lev, last, weights, classProbs, ...) { ?randomForest(x, y, maxnodes = param$maxnodes, ntree=param$ntree, ...) } customRF$predict <- function(modelFit, newdata, preProc = NULL, submodels = NULL) predict(modelFit, newdata) customRF$prob <- function(modelFit, newdata, preProc = NULL, submodels = NULL) ? predict(modelFit, newdata, type = "prob") customRF$sort <- function(x) x[order(x[,1]),] customRF$levels <- function(x) x$classes ? # Set gri...

...n_loop_nbest_pitch 1.41% compute_impulse_response 1.37% qmf_decomp 1.28% lpc_to_lsp 1.26% fir_mem16 1.16% speex_bits_pack 1.07% speex_bits_unpack_unsigned 0.86% compute_rms16 0.79% 4. I'm using the echo-canceller + preprocessor, I'd really like to improve performance here: - I would like to use ADI's FFT, but it's limited to powers of 2, is it safe to enable "Round ps_size down to the nearest power of two" in the preproc ? can we do the same trick with the echo-canceller for window_size ? - are...

...ernlab set.seed(1) MyTrainControl=trainControl( method = "repeatedcv", number=10, repeats=5, returnResamp = "all", classProbs = TRUE ) ## MODEL rbfSVM <- train(outcome~., data = trainset, method="svmRadial", preProc = c("scale"), tuneLength = 10, trControl=MyTrainControl, fit = FALSE ) There were 50 or more warnings (use warnings() to see the first 50) > warnings() Warning messages: 1: In train.default(x, y, weights = w, ...) : At least one of the cl...

...tally messed up, getting 'frozen' on these weird sounds. (I'm > using > > wideband 16kHz only. VBR quality 6, not using Speex's VAD or DTX.) > > > > You can hear the audio go from good to bad at 9 seconds into this clip. > > At 32 seconds, I turn off the preprocessor and you can hear the weird > > sounds still occurring. Note that the loud noise is the background > noise > > always present on that PC. The Speex denoiser does an amazing job. :) > > I could realize that the denoise preprocessing used with the AGC produces a very robot...

I am using the denoiser and AGC, but the problem persists if I turn them off (stop calling speex_preprocess() altogether). Also, I have reproduced it on both a noisy system and a quiet system that hardly needs the denoiser. I know what you mean though, I have heard similar sounds when pushing the denoiser too hard. For example, doing 100x AGC, or trying to use an extension cord with my micropho...

I'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +

...'m getting following error. gcc -Wall -W -g -O2 -DMSGNO -D_XOPEN_SOURCE=500 -D_DATADIR=\"/usr/local/share/mi dlc\" src/emit_stub_samba.o src/emit_hdr_c.o src/emit_svr_stub_c.o src/emit_svr_ dec_c.o src/emit_svr_enc_c.o src/emit_enc_java.o src/emit_dec_java.o src/emit_st ub_java.o src/preproc.o src/parse.o src/sym.o src/tok.o -lmba -o midlc src/midlc.c src/midlc.c: In function `main': src/midlc.c:394: warning: implicit declaration of function `MSG' /usr/bin/ld: cannot find -lmba collect2: ld returned 1 exit status make: *** [midlc] Error 1 And I read Michael Melham mails, so I...

I have a grown list of IPs that I am "deny ip from ###.### to any". Infected machines, hackers, etc.. Is there a way to have this list outside of rc.firewall and just read it in?

Seeing a build problem after updating my git tree: $ git remote -v origin git://git.samba.org/samba.git (fetch) origin git://git.samba.org/samba.git (push) $ git pull $ ./configure ... $ make clean WAF_MAKE=1 python ./buildtools/bin/waf build ./buildtools/wafsamba/samba_utils.py:397: DeprecationWarning: the md5 module is deprecated; use hashlib instead

...65.c c_866.c c_869.c c_874.c c_875.c c_878.c c_932.c c_936.c c_949.c c_950.c casemap.c collation.c compose.c config.c cptable.c debug.c fold.c ldt.c loader.c mbtowc.c mmap.c port.c sortkey.c string.c utf8.c wctomb.c wctype.c > :info:build ../../tools/makedep -C. -S../.. -T../.. preproc.c wpp.c ppy.y ppl.l > :info:build config.status: creating loader/Makefile > :info:build ../tools/makedep -C. -S.. -T.. main.c preloader.c > :info:build config.status: creating programs/aspnet_regiis/Makefile > :info:build ../../tools/makedep -C. -S../.....