search for: exhaustiveness

what does the exhaustive model search do? Does it try all of the functions listed under "-A" to find the 'best', i.e. bartlett, bartlett_hann, blackman, blackman_har- ris_4term_92db, connes, flattop, gauss(STDDEV), hamming, hann, kaiser_bessel, nuttall, rectangle, triangle, tukey(P), welch. Or is that something else? I've been using the -e option for a while in

While runing R1.3.0 on a Win95 machine, a process has produced the following error: Error: vector memory exhausted (limit reached?) In addition: Warning message: Reached total allocation of 47Mb: see help(memory.size) Lost warning messages Now I cannot save the work (not too bad, I had used save.image() just prior to launch the process), but cannot quit the program: > save.image() Error:

On Jun 10, 2012, at 21:32, Linda A. Walsh wrote: > what does the exhaustive model search do? > > Does it try all of the functions listed under "-A" to find the 'best', > i.e. bartlett, bartlett_hann, blackman, blackman_har- > ris_4term_92db, connes, flattop, gauss(STDDEV), hamming, hann, > kaiser_bessel, nuttall, rectangle, triangle, tukey(P), welch.

Hello I have a question about the error: vector memory exhausted (limit reached?). I have the R-studio version 4.0.3 (2020-10-10). I have a MacBook Air (13-inch, 2017). I am trying to open a dataset file ?data_dta? through the import dataset ?file from stata? button. I already did this with other datasets, and this works fine. Now, I want to work with a bigger dataset of 4.08 GB. When I try to

How would I rewrite my code so that I can implement the use of multicore on an Rstudio server to run regsubsets using the "exhaustive" method? The data has 1200 variables and 9000 obs so the code has been shortened here: model<-regsubsets(price~x + y + z + a + b + ...., data=sample, nvmax=500, method=c("exhaustive")) Our server is a quad core 7.5 gb ram, is that

Asterisk Project Security Advisory - AST-2016-007 Product Asterisk Summary RTP Resource Exhaustion Nature of Advisory Denial of Service Susceptibility Remote Authenticated Sessions Severity Moderate

Asterisk Project Security Advisory - AST-2017-004 Product Asterisk Summary Memory exhaustion on short SCCP packets Nature of Advisory Denial of Service Susceptibility Remote Unauthenticated Sessions Severity

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ========================================================== == == Subject: Memory exhaustion DoS against smbd == CVE ID#: CAN-2006-1059 == == Versions: Samba Samba 3.0.1 - 3.0.22 (inclusive) == == Summary: smbd may allow internal structures == maintaining state for share connections == to grow unbounded. ==

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ========================================================== == == Subject: Memory exhaustion DoS against smbd == CVE ID#: CAN-2006-1059 == == Versions: Samba Samba 3.0.1 - 3.0.22 (inclusive) == == Summary: smbd may allow internal structures == maintaining state for share connections == to grow unbounded. ==

On a 12" MacBook (2017) with 2 cores I get lld/wasm to be stuck in: https://gist.githubusercontent.com/carlokok/1a14e7ed3dbbd54511e1f0b3a7d684ff/raw/19267560b584ca42cc66f44f508df5b34102d803/thread%2520for%2520waiting It seems the outer for loop exhausts the thread pool, and the inner ones trigger a new parallel for which never finishes because the pool is full. Is this a bug or am I

Hi, On a particular input file, FLAC (testing with current git) greatly inflates its output if I encode at level 7, which enables --exhaustive-model-search. The source is a 24-bit WAV file of about 60MB; flac -6 encodes this to a 43MB FLAC file, but flac -7 produces a 9.1GB (!) file. The enormous file does seem to be perfectly valid, FWIW -- it (eventually) decodes to a WAV that's

Hello R-help Readers I'm currently in the process of trying to write a permutation test procedure for looking at differences between groups with a multivariate data set (something equivalent to ANOSIM - analaysis of similarities for those familiar with this test). As with other permutation tests, for cases where there are large numbers of possible permutations, randomly sampling from these

Hi LLVM-Devs, I am in the process of updating our out-of-tree implementation from v5.0 to v6.0 RC3, and while it builds and mostly runs, I am having trouble with a small number of tests where the 'WorklistMap' in 'DAGCombiner::Run' never becomes empty. This is resulting in a runaway state of continuous heap allocation until the process exhausts all system memory. But I can't

Re-looping R-help. My error. Hannah, I can't tell you how much RAM your computer has, certainly not how much is free for R's use. Just that you are probably not going to be able to load a dataset that Large into a 2017 MacBook. On Mon, Nov 2, 2020, 3:20 PM Hannah Van Impe <hannahvanimpe at outlook.com> wrote: > Thank you very much, > would it be possible to merge multiple

Hello, I get an error when binary structures from a pipe 'Error: cons memory exhausted (limit reached?)' (but R does not crash) This is probably due to some bug in my code, but occurs after reading about 85K pairs of RAWSXP objects (each < 20 bytes). I do not have any explicit calls to malloc/calloc I'm going through my code and have inserted the (brute force) printf statements

Linda Walsh <flac at tlinx.org> wrote: ... > That brings up another question then... What is 'hi' (v. low?)... Zero, or close to zero, is low. 12 is high. ... > What's a subset stream? This is explained at: http://flac.sourceforge.net/format.html in the bulleted point beginning, "FLAC specifies a subset of itself as the Subset format." ... > Another

Martin: I suspect this is an issue with post-DAG legalization store merging in the DAGCombiner. If you have a custom lowered type the DAGCombiner may end up merging a set of stores and immediately splitting them up in legalization. You should be able to disable this pass universally by overriding mergeStoresAfterLegalization() or conditionally for cases that shouldn't match with

Hi, I first posted this message on r-help, but got redirected here. I encounter a strange memory error, and I'd like some help to determine if I'm doing something wrong or if there's a bug in recent R versions... I'm currently working on a DeepNet project @home, with an old PC with 4Gb RAM, running Ubuntu 16.04. For efficiency reason, I preprocessed my dataset and stored it as

Asterisk Project Security Advisory - AST-2011-005 Product Asterisk Summary File Descriptor Resource Exhaustion Nature of Advisory Denial of Service Susceptibility Remote Unauthenticated TCP Based Sessions (TCP SIP, Skinny,

Asterisk Project Security Advisory - AST-2011-005 Product Asterisk Summary File Descriptor Resource Exhaustion Nature of Advisory Denial of Service Susceptibility Remote Unauthenticated TCP Based Sessions (TCP SIP, Skinny,