similar to: GSOC inquiry.

No i have not worked previously on llvm. I have looked through the projects but because of no prior experience i am unable to pick one. I am currently going through the llvm tutorials. On Wed, Mar 16, 2016 at 9:32 PM, John Criswell <jtcriswel at gmail.com> wrote: > On 3/8/16 10:12 AM, Om Shivom Nagpal via llvm-dev wrote: > > Hi, I am Om Shivom pursuing CSE from PEC University of

Sir, I am interested in adding a new analysis or optimization pass and building the getting started guide as a project for gsoc. On Mon, Mar 21, 2016 at 1:29 AM, John Criswell <jtcriswel at gmail.com> wrote: > On 3/17/16 10:58 AM, Om Shivom Nagpal wrote: > > No i have not worked previously on llvm. I have looked through the > projects but because of no prior experience i am

On 3/22/16 11:15 AM, Om Shivom Nagpal wrote: > Sir, > I am interested in adding a new analysis or optimization pass and > building the getting started guide as a project for gsoc. Okay. Decide which of these two projects you'd like to propose and write up a description of the project. Be sure to include some details. For example, if you're going to improve the

On 3/17/16 10:58 AM, Om Shivom Nagpal wrote: > No i have not worked previously on llvm. I have looked through the > projects but because of no prior experience i am unable to pick one. I > am currently going through the llvm tutorials. I would recommend a project that has you working at the LLVM IR level. Fixing bugs or adding a new analysis or optimization pass may be a good

Sir, I am interested in add a new pass. I have read about analysis, transformation passes. Can you help me with some example ideas? On Wed, Mar 23, 2016 at 1:39 AM, John Criswell <jtcriswel at gmail.com> wrote: > On 3/22/16 11:15 AM, Om Shivom Nagpal wrote: > > Sir, > I am interested in adding a new analysis or optimization pass and building > the getting started guide as a

Hi Team, I using the syntax as: data.df<- data.frame( city= c(rep(c("Delhi", "Bangalore","Chandigarh"),each=5)), population= c(4000:6000,3500:4300,3000:3200) ) But i am getting the error as arguments imply differing number of rows: 15, 3003. Tried searching google but could not understand & find the solution. Thanks, Shivi [[alternative HTML version

Dear Sir/Madam ? ? why during choosing the cran mirror of India on my?Vista PC?gives an error of like this ? > chooseCRANmirror() Warning message: ?In open.connection(con, "r") : unable to resolve 'cran.r-project.org' ? ? ? ? pls help me ? ? ? ? ? ? Thanks From Chandigarh to Chennai - find friends all over India. Go to http://in.promos.yahoo.com/groups/citygroups/

Hi, I am Om Shivom and i am interested in adding a new pass in llvm in gsoc. I stumbled upon adding the MachineModulePass on the Open projects list ( http://llvm.org/OpenProjects.html#machinemodulepass ). Can someone help me understand the project properly or point to sources where i can get help from? Regards. -------------- next part -------------- An HTML attachment was scrubbed... URL:

Dear Tux Friends, I am migration a MS Windows 2000 file server to OpenSuse 10.3. In the current working scenerio, there is one directory on Windows Server named "Common" with two shared directories 1) Inter Department 2) Intra Department This will will help to understand the directory structure: ===>> Common-> Inter Department -> Intra

4000:6000 gives you 4000, 4001, ..., 6000. I suspect you want population= c(seq(4000, 6000, length=5), seq(3500, 4300, length=5), seq(3000, 3200, length=5)) Bob On 20 September 2017 at 17:07, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > Hi Team, > > I using the syntax as: > > data.df<- data.frame( > city= c(rep(c("Delhi",

Hi, I am attempting to evaluate the prediction error of a coxph model that was built after feature selection with glmnet. In the preprocessing stage I used na.omit (dataset) to remove NAs. I reconstructed all my factor variables into binary variables with dummies (using model.matrix) I then used glmnet lasso to fit a cox model and select the best performing features. Then I fit a coxph model

Im trying to write a controller spec, but when I run it I get an error like the one below. I found Bug6707 (http://rubyforge.org/pipermail/rspec-devel/2007-March/002147.html ), but I get the error no matter how I run the spec ( whether I use rake or not) Any ideas? I am using 0.8.2 The Error: C:/rails/InstantRails/ruby/lib/ruby/gems/1.8/gems/rspec-0.8.2/lib/spec/expectati ons/sugar.rb:14:in

caching_thread()s do all their work under read access to extent_commit_sem. They give up on this read access only when need_resched() tells them, or when they exit. As a result, somebody that wants a WRITE access to this sem, might wait for a long time. Especially this is problematic in cache_block_group(), which can be called on critical paths like find_free_extent() and in commit path via

...something is still wrong. On the shared folders the commands "select" and "examine" work only the first time: -------%<-------------------------------------------------------- 3 select "shared/user1 at pec.inail.gov.it" * FLAGS (\Answered \Flagged \Deleted \Seen \Draft Junk) * OK [PERMANENTFLAGS (\Answered \Flagged \Deleted \Seen \Draft Junk \*)] Flags

Hi, We are using your speex codec in our VirtuvalClassRoom product. It's working good but we have problem using your echo canceller. Can you send me some code samples which use the echo cancelation? thanks suresh A Bring your gang together. Do your thing. Find your favourite Yahoo! group at http://in.promos.yahoo.com/groups/ -------------- next part -------------- An HTML

Hello Sir/Mam I am Nitish Kumar Mishra from IMTECH, Chandigarh, India. I want to calculate the Principal Component Analysis(PCA), PLS of the input file and find top 30 PCAs of this file using PLS in R. I am asking regarding Linux(Red Hat 9) operating system. I have downloaded PLS from Crains site and try to installed it, but don't installed it. How I can download and installed PLS(for PCA and

Dear All, I would like to use R function 'selectFGR' of fine gray model in competing risks model. I used the 'Melanoma' data in 'riskRegression' package. Some of the variables are factor. I get solution for full model but not in variable selection model. Any advice how to use factor variable in 'selectFGR' function. The following R code is produced below

Y bueno, algo más bonito sí que queda con ggplot... #--------------- datIn <- read.csv("pec.csv", header = TRUE, sep = ";", dec = ",") library(ggplot2) lab_x_idx <- c(1, round(nrow(datIn)/2, 0), nrow(datIn)) lab_x <- as.vector(datIn$hora[ lab_x_idx]) fre_gg <- ggplot( datIn, aes( x = 1:nrow(datIn), y = frec)) + geom_bar(stat =

Prueba algo así: library(ggplot2) datos <- read.table("Downloads/pec.csv", header = T, sep = ";", dec = ",") datos$Miles <- as.numeric(gsub("\\.", "", as.character(datos$Miles))) datos$hora <- strptime(datos$hora, format = "%H:%M") ggplot(datos, aes(x = hora, y = Miles)) + geom_line() + scale_x_datetime(date_breaks =

Buenas tardes, Tengo una duda con gráficos. Estoy intentando realizar el típico gráfico de una variable en histograma y otra en linea, supongo que será sencillo pero llevo unos días peleando y no me sale de forma correcta. Las variables están en un dataframe que muestran las frecuencias de tweets minuto a minuto y el share de esos minutos (os adjunto un archivo en csv con el dataframe). Una