similar to: FireFox-46.0.1 build with interprocedural register allocation enabled

Hi, the best way to move forward, and I guess the answer to your question, is to get your work to build and test on try. And now I'm going to flood you with jargon, sorry. Instead of trying to document that all here, I suggest you ask people for help on irc. Notably, #taskcluster, and #build. Folks there are your target audience for compiler changes, too. First read is

On Mon, Jun 20, 2016 at 4:14 AM, Sanjoy Das <sanjoy at playingwithpointers.com> wrote: > Hi Vivek, > > [Dropping firefox-dev, since I don't want to spam them] > > vivek pandya via llvm-dev wrote: > > Measure W/O IPRAWITH IPRA > > ======================== > > Total Build Time76 mins82.3 mins8% increment > > Octane v2.0 JS Benchmark Score (higher is

On Mon, Jun 20, 2016 at 10:06 PM, Davide Italiano <davide at freebsd.org> wrote: > On Sun, Jun 19, 2016 at 11:41 AM, vivek pandya via llvm-dev > <llvm-dev at lists.llvm.org> wrote: > > Hello, > > > > I build FireFox-46.0.1 source with llvm to test interprocedural register > > allocation. > > The build was successful with out any runtime faliures,

On Mon, Jun 20, 2016 at 10:05 PM, Sanjoy Das <sanjoy at playingwithpointers.com > wrote: > Hi Vivek, > > vivek pandya wrote: > > > For Octane and Kraken I have run them 4 times and above result is > > geometric mean. For Octane standard deviation (SD) is > > 918.54 (NO_IPRA) and 597.82 (With_IPRA). For Kraken unfortunately I > > don't have readings

> On Feb 11, 2016, at 12:43 AM, via llvm-dev <Alexander G. Riccio> wrote: > > I don’t think that we can agree to abstract code guidelines without knowing what it means in practice for the codebase. If you’re interested in this, please include a diff that shows the impact to the headers, and we should also measure what happens to the performance of the generated compiler. > >

I have two ideas about it. 1- i) Entering variables in quadratic form is done with the command I (variable ^ 2) - plsr (octane ~ NIR + I (nir ^ 2), ncomp = 10, data = gasTrain, validation = "LOO" You could also use a new variable NIR_sq <- (NIR) ^ 2 ii) To insert a square variable, use syntax I (x ^ 2) - it is very important to insert I before the parentheses. iii) If you want to

Below. -- Bert Bert Gunter On Thu, Jul 13, 2017 at 3:07 AM, Luigi Biagini <luigi.biagini at gmail.com> wrote: > I have two ideas about it. > > 1- > i) Entering variables in quadratic form is done with the command I > (variable ^ 2) - > plsr (octane ~ NIR + I (nir ^ 2), ncomp = 10, data = gasTrain, validation = > "LOO" > You could also use a new variable

> On Jul 13, 2017, at 7:43 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > Below. > > -- Bert > Bert Gunter > > > > On Thu, Jul 13, 2017 at 3:07 AM, Luigi Biagini <luigi.biagini at gmail.com> wrote: >> I have two ideas about it. >> >> 1- >> i) Entering variables in quadratic form is done with the command I >>

poly(NIR, degree = 2) will work if NIR is a matrix, not a data.frame. The degree argument apparently *must* be explicitly named if NIR is not a numeric vector. AFAICS, this is unclear or unstated in ?poly. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom

Dear all, I am using the pls package of R to perform partial least square on a set of multivariate data. Instead of fitting a linear model, I want to fit my data with a quadratic function with interaction terms. But I am not sure how. I will use an example to illustrate my problem: Following the example in the PLS manual: ## Read data data(gasoline) gasTrain <- gasoline[1:50,] ## Perform

?? If I haven't misunderstood, they are completely different! 1) NIR must be a matrix, or poly(NIR,...) will fail. 2) Due to the previously identified bug in poly, degree must be explicitly given as poly(NIR, degree =2,raw = TRUE). Now consider the following example: > df <-matrix(runif(60),ncol=3) > y <- runif(20) > mdl1 <-lm(y~df*I(df^2)) > mdl2

> On Jul 13, 2017, at 10:43 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > poly(NIR, degree = 2) will work if NIR is a matrix, not a data.frame. > The degree argument apparently *must* be explicitly named if NIR is > not a numeric vector. AFAICS, this is unclear or unstated in ?poly. I still get the same error with: library(pld) data(gasoline) gasTrain <-

Hello all useRs, I am tring make a simple surface plot ( 2 by 2 terms of a MARS model (with earth package) but I get the follow error message: > plotmo( mars ) Error: bad index (missing column in x?) I don't no how to workround this... :-( I thanks in advanced by some help! Thanks. Cleber ############### > > ### example code: > library( earth ) > data( gasoline,

Hi, I enabled password encryption and NT clients were able to connect. However, Windows 95 users were not able to connect any more unless they use smbpassword to reset the password (it's not an acceptable solution for our environment). If I used "update encrypted = yes", "encrypt passwords" then Windows 95 users can login with NIS password but not for NT users. How to

> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: > > Dear all, > > I am using the pls package of R to perform partial least square on a set of > multivariate data. Instead of fitting a linear model, I want to fit my > data with a quadratic function with interaction terms. But I am not sure > how. I will use an example to

Bert, The 'degree' argument follows the "..." argument in the function declaration: poly(x, ..., degree = 1, coefs = NULL, raw = FALSE, simple = FALSE) Generally, any arguments after the "..." must be explicitly named, but as per the Details section of ?poly: "Although formally degree should be named (as it follows ...), an unnamed second argument of length 1

There is a very useful and apparently fundamental feature of R (or of the package pls) which I don't understand. For datasets with many independent (X) variables such as chemometric datasets there is a convenient formula and dataframe construction that allows one to access the entire X matrix with a single term. Consider the gasoline dataset available in the pls package. For the model

Marc: 1. I am aware of the need to explicitly name arguments after ... -- see the R Language definition where this can be inferred from the argument matching rules. 2. I am aware of the stated exception for poly(). However: > x1 <- runif(20) > x2 <- runif(20) > mx <- cbind(x1,x2) > poly(mx,2) Error in poly(dots[[i]], degree, raw = raw, simple = raw) : 'degree'

Running R 2.5.1 on WinXP with Tinn-R, and using Sweave via MikTex. I am having trouble with the code below: ------------------------------------------------------- <<lowerCI95>>= lowerCI95713 <- t.test(data713, alternative="greater") lowerCI95713.bound <- lowerCI95713$conf.int[1] @ Thus a lower 95\% confidence bound on the mean octane concentration is

Usage data(gasoline) Format A data frame with 60 observations on the following 2 variables. octane a numeric vector. The octane number. NIR a matrix with 401 columns. The NIR spectrum and I see the gasoline data to see below NIR.1686 nm NIR.1688 nm NIR.1690 nm NIR.1692 nm NIR.1694 nm NIR.1696 nm NIR.1698 nm NIR.1700 nm 1 1.242645 1.250789 1.246626 1.250985 1.264189 1.244678 1.245913