ok, thanks for that. do you think this is going to change already in v0.6
or will that have to wait until a future release?
On 14 November 2016 at 23:59, Yichao Yu wrote:
> On Mon, Nov 14, 2016 at 5:08 PM, Florian Oswald
> wrote:
> > I'm not sure how many people are using
I'm not sure how many people are using Base.Threads out there, I came
across it by accident and think it works great. It's under the heading
"experimental" in the manual, so I just wanted to encourage the developers
that this is a great feature, please don't drop it. I just wrote @threads
in fr
d testsets is a regression that
> hit 0.5 (BaseTestNext on 0.4 indents nested testsets), and there’s
> currently an issue filed: https://github.com/JuliaLang/julia/issues/18611
>
> so they should get re-prettified soon enough.
>
> -s
>
>
> On Fri, Oct 28, 2016, at 10:30
D'oh.
Thanks!
On Saturday, 29 October 2016, Steven G. Johnson
wrote:
>
>
> On Friday, October 28, 2016 at 10:30:28 AM UTC-4, Florian Oswald wrote:
>>
>> There is 1 thing I sorely miss from Base.Test coming from FactCheck, and
>> that is the ability to say
>&
hi all,
i have got a rather simple question but can't figure it out:
https://github.com/Keno/Gallium.jl/issues/166
thanks
Good stuff! I like the idea of extending Base.Test
anyway you could easily integrate printing messages after failed tests?
https://groups.google.com/d/msg/julia-users/_cZ8y_-JAVA/8EcTWdxcAQAJ
cheers
On Thursday, 27 October 2016 17:27:38 UTC+2, Spencer Russell wrote:
>
> Hey All,
>
> I just regi
I know there are many testing packages out there. I have been using
FactCheck, but have seen it's been relegated to the JuliaArchive. I take
that as a sign it's a good moment to use something else.
There is 1 thing I sorely miss from Base.Test coming from FactCheck, and
that is the ability to s
Ok. any suggestions how to get close to the C preprocessor behaviour though?
On Monday, 24 October 2016 11:13:18 UTC+2, Mauro wrote:
>
> On Mon, 2016-10-24 at 10:37, Florian Oswald > wrote:
> > I have something that this in C++ I would write like
> >
> > double f
I have something that this in C++ I would write like
double f(double x){
// do something with x
#ifdef MACROVAR
// do something else with x
#endif
return(x)
}
I was trying to understand how i could use julia macro's to achieve
something similar. I have seen how the Logging.jl u
Hi folks,
I have question on SO that needs some attention. thanks!
http://stackoverflow.com/questions/40045208/how-to-use-scale-in-interpolations-jl
`$N` in your code; using `N`
> directly has the same effect here.
>
> I'm not saying that generated functions should be avoided at all costs,
> but if it isn't necessary here you might as well skip the associated
> complications.
>
> -erik
>
> On Fri, Oct 14
hi all,
I want to evaluate a function at each index of an array. There is a N
dimensional function, and I want to map it onto an N-dimensional array:
fpoly(x::Array{Real,5}) = x[1] + x[2]^2 + x[3] + x[4]^2 + x[5]
want to do
a = rand(2,2,2,2,2);
b = similar(a)
for i1 in indices(a,1)
for i2
Oh! Sorry I didn't get that. Thanks!
On Thursday, 13 October 2016, Michele Zaffalon
wrote:
> From ASTInterpreter's README:
>
>- `stuff runs stuff in the current frame's context
>
>
> On Thu, Oct 13, 2016 at 5:47 PM, Florian Oswald > wrote:
>
>>
> of commands. The documentation seems to be spread across the two packages.
>
>
> On Thu, Oct 13, 2016 at 5:15 PM, Florian Oswald > wrote:
>
>> hi,
>>
>> i usually used Debug.jl to debug code, which is great, but errors on
>> julia 0.5: https://github
ch gives the list
> of commands. The documentation seems to be spread across the two packages.
>
>
> On Thu, Oct 13, 2016 at 5:15 PM, Florian Oswald
> wrote:
>
>> hi,
>>
>> i usually used Debug.jl to debug code, which is great, but errors on
>> julia 0.5: https
hi,
i usually used Debug.jl to debug code, which is great, but errors on julia
0.5: https://github.com/toivoh/Debug.jl/issues/80
I have no idea how to use Gallium.jl just from looking at the examples.
Anyone? thanks.
ok i found the conversation here:
https://groups.google.com/d/topic/julia-users/W6yyV4i_W_k/discussion
On Thursday, 13 October 2016 15:45:23 UTC+2, Florian Oswald wrote:
>
> I mean, do I have to cycle through the array and basically clean it of
> #NULL before findign the maximium or
e sense to make such changes without measuring performance before
> and after. Given the low-level nature if the changes, looking at the
> generated assembler code via `@code_native` is usually also insightful.
>
> I'll be happy to help if you have a specific problem on which you
t/SIMD.jl it is builds on top of
> VecElement.
>
> In many cases we can perform automatic vectorisation, but you have to
> start Julia with -O3
>
> On Thursday, 13 October 2016 22:15:00 UTC+9, Florian Oswald wrote:
>>
>> i see on the docs
>> http://docs.j
I mean, do I have to cycle through the array and basically clean it of
#NULL before findign the maximium or is there another way?
On Thursday, 13 October 2016 15:42:02 UTC+2, Florian Oswald wrote:
>
> i'm trying to understand why we don't have something similar in terms of
i'm trying to understand why we don't have something similar in terms of
comparison for Nullable as we have for DataArrays NAtype (below). point me
to the relevant github conversation, if any, is fine.
How would I implement methods to find the maximium of an
Array{Nullable{Float64}}? like so?
Bas
i see on the
docs http://docs.julialang.org/en/release-0.5/stdlib/simd-types/?highlight=SIMD
that there is a vecElement that is build for SIMD support. I don't
understand if as a user I should construct vecElement arrays and hope for
some SIMD optimization? thanks.
see
https://github.com/JuliaLang/julia/issues/18666
On Sunday, 25 September 2016 15:54:30 UTC+2, Florian Oswald wrote:
>
> hi,
>
> i am trying to build the julia release on a remote unix system and get
> until this step:
>
> [uctpfos@jake julia]$ make
>
> *LINK*
hi,
i am trying to build the julia release on a remote unix system and get
until this step:
[uctpfos@jake julia]$ make
*LINK* *usr/bin/julia*
/opt/rh/devtoolset-3/root/usr/libexec/gcc/x86_64-redhat-linux/4.9.1/ld:
/opt/rh/devtoolset-3/root/usr/lib/gcc/x86_64-redhat-linux/4.9.1/libstdc++_n
This is affecting my work in exactly the same way. my jobs have been down
on an SGE managed cluster since I upgraded to v0.5-xxx for other reasons.
Some support on this would be very good.
On Thursday, 22 September 2016 11:26:16 UTC+2, Alan Crawford wrote:
>
> I am using Julia v0.5.0 on a memory
erm... yes. sorry that was a stupid question.
thanks anyway!
On Monday, 19 September 2016 10:48:44 UTC+2, Bart Janssens wrote:
>
>
>
> On Mon, Sep 19, 2016 at 10:11 AM Florian Oswald > wrote:
>
>>
>> So I read somewhere that my construction involving `eval` is bad
Cheers,
>
> Bart
>
> On Mon, Sep 19, 2016 at 9:32 AM Florian Oswald > wrote:
>
>> i was trying to make sense of the final outcome of the discussion here
>> https://github.com/JuliaLang/julia/pull/13412, but no way. Also I'm not
>> sure what to search
i was trying to make sense of the final outcome of the discussion
here https://github.com/JuliaLang/julia/pull/13412, but no way. Also I'm
not sure what to search for in the documentation (?Base.call tells me it's
deprecated.)
So:
if up to now I programmatically evaluate a function f like tha
hi all,
i get the following output from the SGE command `qstat -j jobnumber` of a
julia job that uses 30 workers. I am confused by the mem column. am I using
more memory than what I asked for? I asked for max 4G on each processor.
job-array tasks:1-30:1
usage1:
ng
> end
> 125
>
>
> If you think it is a regression file a bug report for profile.
>
>
> On Friday, September 9, 2016 at 1:04:21 PM UTC+3, Florian Oswald wrote:
>>
>> hi all,
>>
>> on v0.5-rc3, I see this
>>
>> *julia> **f(x
hi all,
on v0.5-rc3, I see this
*julia> **f(x)=x^3*
*f (generic function with 1 method)*
*julia> **@profile y = f(5)*
*125*
*julia> **y*
*ERROR: UndefVarError: y not defined*
which used to work in previous versions. Is that intended behaviour?
hines ) call?
On Thursday, 2 June 2016, David van Leeuwen
wrote:
> Could this be related to this
> <https://github.com/JuliaParallel/ClusterManagers.jl/issues/4#event-677794220>
> ?
>
> On Wednesday, June 1, 2016 at 7:26:50 PM UTC+2, Florian Oswald wrote:
>>
>> i
i'm having a problem on a cluster where setting up the connections via
ClusterManagers.addprocs_sge() takes longer than the 60 second limit. how
can I extend that limit? thanks!
I've usually built julia from source on several unix hpc systems I'm
working on. Most of the times that worked fine, but it takes time, and
sometimes I was stuck with a broken build for couple of hours. I just found
out that the "generic linux binary" from http://julialang.org/downloads/
works
figured it out:
https://github.com/JuliaOpt/NLopt.jl/issues/36
On Monday, 18 May 2015 15:23:57 UTC+1, Florian Oswald wrote:
>
> Hi all,
>
> I'm working on a scienfitic unix cluster where the NLopt.jl provided
> build.jl fails. I paste the error output in the end. I install
Hi there,
xdata (or any other grid) does not need to be on a grid, that's just the
way the example is written. but no extrapolation, that's right.
On Thursday, 14 May 2015 01:05:55 UTC+1, Yakir Gagnon wrote:
>
> Thanks a ton people!!!
>
> ExtremelyRandomizedTrees.jl: Might be really good, but err
Hi all,
I'm working on a scienfitic unix cluster where the NLopt.jl provided
build.jl fails. I paste the error output in the end. I installed NLopt
manually into ~/local. How can I build NLopt.jl such that it takes my
~/local/lib/libnlopt.a? I have done
push!(Sys.DL_LOAD_PATH, "${HOME}/local/l
ile are you using? Also, is this on Julia 0.3 or 0.4?
>
> -- Mike
>
> On Tuesday, 12 May 2015 12:29:17 UTC+2, Florian Oswald wrote:
>>
>> Hi all,
>>
>> I'm trying to follow the steps outline in the Lexicon documentation
>> http://lexiconjl.rea
Hi all,
I'm trying to follow the steps outline in the Lexicon
documentation http://lexiconjl.readthedocs.org/en/latest/api/Lexicon/
and I am stuck with this:
using Lexicon, Docile, Docile.Interface
index = Index()
update!(index, save("docs/api/Lexicon.md", Lexicon));
update!(index, save("docs/
Hi Nils (again; why are we talking about R packages when you've seen the
julia light already? :-) ),
agree with tom and kevin above.
absolutely yes I would start with dataframe. it's my reference when it
comes to high-quality packages, and it has all you need for this task I
think. For a norma
If I may, I've got an implementation of linear interpolation that I'm quite
happy with. It uses a GSL kind of "accelerator" that remembers the index
position of the last evaluation. the binary search for the correct bracket
of x in the grid is the main bottleneck in my experience. So taking
adv
Hi all,
I'm currently trying to work out why I get an error when trying to load a
dict with several dataframes in it with HDF5, JLD, see
https://github.com/timholy/HDF5.jl/issues/158
which results in this error:
*ERROR: stored type DataFrames.Index does not match currently loaded type*
I just
just wondering if anyone has a way to print for example a GLM regression
output table to tex? I think I'm looking for something like
[http://cran.r-project.org/web/packages/texreg/index.html], although maybe
that's not the best way to achieve this in julia.
right now I'm converting the coeftabl
ack and told the author to clarify the ambiguity.
>
>
> On Thursday, September 18, 2014, Florian Oswald
> wrote:
>
>> well, I guess most computer scientists would be surprised. writing on a
>> piece of paper
>>
>> -10^2
>>
>> and
>>
>>
ods of the same function/operator.
>>
>> Op donderdag 18 september 2014 14:54:26 UTC+2 schreef Florian Oswald:
>>>
>>> yes - not sure why -0.4 and (-0.4) are any different.
>>>
>>> On 18 September 2014 13:52, Patrick O'Leary
>>> wrote:
t; I guess it is not possible to give binary minus a lower precedence than ^
> and unary minus of higher precedence, since these are just different
> methods of the same function/operator.
>
> Op donderdag 18 september 2014 14:54:26 UTC+2 schreef Florian Oswald:
>>
>> yes - no
/docs.julialang.org/en/latest/manual/faq/#why-does-
>> julia-give-a-domainerror-for-certain-seemingly-sensible-operations
>>
>> On Thursday, September 18, 2014 03:24:00 AM Florian Oswald wrote:
>> > # define a variable gamma:
>> >
>> > gamma = 1.
# define a variable gamma:
gamma = 1.4
mgamma = 1.0-gamma
julia> mgamma
-0.3999
# this works:
julia> -0.3999^2.5
-0.10119288512475567
# this doesn't:
julia> mgamma^2.5
ERROR: DomainError
in ^ at math.jl:252
n you give me a hint how to use collect in this case? thanks!
On 12 September 2014 22:53, John Myles White
wrote:
> So you have a stream that produces rows one after another? I feel like
> this might be a place for an abstraction like collect.
>
> -- John
>
> On Sep 12, 2014
l, slow might be a little unfair. Are you transferring only a subset of
> rows from the other DataFrame? If so, this might be a good approach. If
> you're copying the whole thing, it seems a lot slower.
>
> -- John
>
>
> On Sep 12, 2014, at 3:42 PM, Florian Oswald
> w
erence to an existing DataFrame, so this seems like it's either a
> mechanism for transferring rows from one DataFrame to another very slowly
> or a mechanism for inserting duplicate rows.
>
> -- John
>
> On Sep 12, 2014, at 3:37 PM, Florian Oswald
> wrote:
>
&
I'll submit a PR for Base.append!(adf::AbstracDataFrame,dfr::DataFrameRow)
unless you tell me that's useless.
On 12 September 2014 22:31, Florian Oswald wrote:
> Leah: yeah that works. but i think i almost prefer my previous solution,
> instead of this
> push!(df2,[v for
Leah: yeah that works. but i think i almost prefer my previous solution,
instead of this
push!(df2,[v for (_,v) in e])
that:
push!(df2,array(e))
not sure about the performance implications though.
On 12 September 2014 22:18, Gray Calhoun wrote:
> Oh, I wasn't thinking of that. Good p
|-||
> | Row # | a | x |
> | 1 | "oh"| 0.00803615 |
> | 2 | "yeah" | 0.0222873 |
> | 3 | "hi"| 0.862957 |
> | 4 | "there" | 0.101378 |
> ~~~
>
>
>
> On Fri, Sep 12, 2
i'm trying to do this:
using DataFrames
df = DataFrame(a=["hi","there"],x = rand(2))
df2 = DataFrame(a=["oh","yeah"],x = rand(2))
for e in eachrow(df)
append!(df2,e)
end
ERROR: `append!` has no method matching append!(::DataFrame,
::DataFrameRow{DataFrame})
in anonymous at no file:2
or
juli
o world")
> readline(rd)
> redirect_stdout(oldout)
> println("hello world")
>
> (with the last line outputting to screen normally)
>
> On Tuesday, September 2, 2014 7:25:05 PM UTC+3, Florian Oswald wrote:
>>
>> hi!
>>
>> this works fine:
>>
&
hi!
this works fine:
julia> rdstdout, wrstdout = redirect_stdout()
(Pipe(open, 0 bytes waiting),Pipe(open, 0 bytes waiting))
*run(`date`)**julia> *
*s = readavailable(rdstdout)**"Tue 2 Sep 2014 17:11:33 BST\n"*
*but now I want to turn the redirection off again. how do I do this?*
thanks!
t/ccc?key=0Ai9cmDERDCGgdDJ6VDQtQjBGWm5LTzh6R0lRNHY1RVE&usp=sharing
>
> I’d prefer setting up a special website (possibly using Github Pages) that
> houses information for R users coming to Julia. That way we’d be able to
> house more than just spreadsheets.
>
> — John
>
> On Aug 30, 2014, at 4:35 AM, Flo
any reason you are using homebrew to install julia? both the build and
precompiled binary are straightforward to install, I would go with that.
On Saturday, 30 August 2014 10:26:34 UTC+1, idontgetoutmuch wrote:
>
>
>
> I am trying to install Julia using brew
>
> brew install --HEAD --64bit julia
try standard unix cat ">"
julia script.jl > output.txt
On Friday, 29 August 2014 17:12:37 UTC+1, Thomas Covert wrote:
>
> Suppose I wanted to run a julia script in "batch" mode, like this
>
> bash$ julia script.jl
>
> How would I tell julia to save the visual output of this to a text file?
> As
sorry correct my call to
julia -p 32 exper.jl > myout.out
(without the first < , not sure that makes a difference)
On Saturday, 30 August 2014 12:58:57 UTC+1, Florian Oswald wrote:
>
> @require should work for what you want. i usually run batch jobs like this
>
> juli
@require should work for what you want. i usually run batch jobs like this
julia -p 32 < exper.jl > myout.out
maybe give it a try?
also, do you have 32 CPUs? not sure how stable this is if you use plenty
more processes than cores.
here is a working example for a large cluster:
https://github.co
:29, John Myles White wrote:
> DataArrays has a cut function.
>
> -- John
>
> On Aug 29, 2014, at 11:17 AM, Florian Oswald
> wrote:
>
> hi
>
> what's the julia equivalent of this R call? i don't need the levels and
> labels, just some kind of grouping
hi
what's the julia equivalent of this R call? i don't need the levels and
labels, just some kind of grouping index.
> cut(sample(1:10,10,TRUE),c(0,3,6,10))
[1] (3,6] (6,10] (0,3] (6,10] (3,6] (6,10] (0,3] (0,3] (3,6] (3,6]
Levels: (0,3] (3,6] (6,10]
I'm mentioning this because we there's a dangling issue on the topic since
24 of May:
https://github.com/nlhepler/ClusterManagers.jl/issues/13
On 28 August 2014 10:53, Florian Oswald wrote:
> no problem about adding this to clustermanagers.jl. just one question: is
>
of magnitude
> :-)
>
>
> On Wed, Aug 27, 2014 at 6:38 PM, Florian Oswald
> wrote:
>
>> Dear All,
>>
>> after bugging this list long enough with questions about how to get Julia
>> running in parallel on a Torque/PBS managed cluster I thought I'd sh
Dear All,
after bugging this list long enough with questions about how to get Julia
running in parallel on a Torque/PBS managed cluster I thought I'd share my
experience with the list. I realise that by julia standards this is a
rather modest achievement, but I'd been happy to come across somet
d on each cluster node
> regenerate the sysimage with target=native.
>
> Best Valentin
>
> On Sunday, 24 August 2014 14:37:03 UTC+2, Florian Oswald wrote:
>>
>> Hi!
>>
>> I'm running julia release 0.3 on an hpc system that features two 6-core
>>
Hi!
I'm running julia release 0.3 on an hpc system that features two 6-core
2.4GHz Intel Westmere processors (a total of 12 processor cores) per node.
I noticed my program is significantly slower on that machine than on my
mac, where I run this on 1 core (2.4GHz Intel Core i5). (runtime is 60 s
hey!
yeah no worries! when I overcame my impatience (which led me to abort the
download after 2 seconds because of the "wrong" name), I found out that the
package had the correct content.
cheers
On 19 August 2014 16:54, Elliot Saba wrote:
> Whoops, sorry about that Florian! There must be a s
i was reluctant to download the RC4 binary for mac from the website because
the link and package name show up as julia-0.3.0-rc3-osx10.7+.dmg, even
though inside the dmg there is indeed RC4.
i basically thought there is no binary of RC4 yet, maybe this should be
updated on the website?
On Tuesd
ndag 18 augustus 2014 22:35:25 UTC+2 schreef Florian Oswald:
>>
>> Hi!
>>
>> yes. I find that
>>
>> 37 % of time spent at line 26
>> 51 % of time spent at line 29
>>
>> in the gist.
>>
>> line 26 is
>>
>> idx1 = idx9
*
((ip1-1) + p.np * (ij-1 ] * Gs[is + p.ns * (is1-1)] * Gtau[itau1]
On 18 August 2014 19:13, Kevin Squire wrote:
> Have you run it through the profiler already?
>
>
> On Monday, August 18, 2014, Florian Oswald
> wrote:
>
>> Hi all,
>>
>> i'm
Hi all,
i'm trying to improve the performance of this function:
https://gist.github.com/floswald/9e79f6f51c276becbd74
In a nutshell, I have got a high-dimensional array vbar (in this instance
it is 9D), and I want to obtain another array EV (also 9D), by
matrix-multiplying several dimensions o
,Int64} with 3 entries:
> "c" => 3
> "b" => 10
> "a" => 7
>
>
> On Sunday, August 17, 2014 4:45:21 PM UTC+3, Florian Oswald wrote:
>>
>> Hi
>>
>> I'm looking for the best way to count how many times a certain
Hi
I'm looking for the best way to count how many times a certain value x_i
appears in vector x, where x could be integers, floats, strings. In R I
would do table(x). I found StatsBase.counts(x,k) but I'm a bit confused by
k (where k goes into 1:k, i.e. the vector is scanned to find how many
e
i in 1:m, j = 1:n
> v1[m*(j-1) + i] = stemp * v0[n*(i-1) + j]
>end
>
> --Tim
>
> On Friday, August 08, 2014 03:43:26 AM Florian Oswald wrote:
> > thanks for all your tips guys - sad to report that none of them worked
> out
> > so far.
> >
> >
Hi,
i'm working on several systems with somewhat outdated git versions. I often
end up looking at this error:
*julia> **Pkg.checkout("MOpt","noPyPlot")*
*INFO: Checking out MOpt noPyPlot...*
error: unknown switch `B'
*ERROR: failed process: Process(`git
--work-tree=/home/florian_o/.julia/v0.
Hi Ben,
I'm getting exactly that error message on my cluster. I'm wondering where I
am supposed to place the sleep(0.5) command? it seems the start_sge_worker
function doesn't exist anymore (not in base julia anyway.) Would you know
of any other way to make sure the environment vars are loaded?
Hi Ken,
sorry can i just ask you a question on this? Thibaut (post below) was
actually able to use your function to set Julia up on our departmental SGE
cluster and it works fine. That facility is down with a disk failure for
the time being though, so I have been trying to get going on a differ
and here is the error message I get. there is something wrong with the
ssh_exchange_identification?
https://gist.github.com/floswald/236da440fb717c683e37
On Friday, 1 August 2014 15:18:07 UTC+1, Florian Oswald wrote:
>
> here is the parsing function in case that helps:
>
here is the parsing function in case that helps:
https://github.com/floswald/mpitest/blob/removeMaster/julia/iridis/sge.jl
On Friday, 1 August 2014 15:03:49 UTC+1, Florian Oswald wrote:
>
> Hi,
>
> I'm trying to setup a cluster across machines on a PBS managed cluste
Hi,
I'm trying to setup a cluster across machines on a PBS managed cluster. I
parse the PBS_NODEFILE, which for the case of a submit script with option
#PBS -l nodes=2:ppn=12
looks like this:
node001
node001
node001
...
node002
...
node002
I am unsure about what exactly I have to give to add
ps with a fake certificate. They will
> not know who verifies signatures and who does not.
>
> Ivar
>
> kl. 12:45:48 UTC+2 fredag 1. august 2014 skrev Florian Oswald følgende:
>>
>> that does sound worrying. I doubt the admin wants to know what I'm
>> downloading
that does sound worrying. I doubt the admin wants to know what I'm
downloading but rather get (temporarily) rid of a problem. Does that
compromise the security of the hpc system or does it mean someone could
hack my github account?
On 1 August 2014 08:02, wrote:
> Sounds like a bad idea. If the
ou have a chance to test the above and it works, then we could add it
>> as another suggestion to the README (especially for hpc and similar
>> environments with tricky network configs). Temporarily renaming your
>> ~/.julia folder is a safe way to do such a test.
>>
>&g
he README (especially for hpc and similar
> environments with tricky network configs). Temporarily renaming your
> ~/.julia folder is a safe way to do such a test.
>
>
>
> On Wed, Jul 30, 2014 at 5:01 PM, Florian Oswald
> wrote:
>
>> Very helpful, thanks!
>> I resorted to
large
> number of suggestions for possible solutions [2]
>
> [1] https://www.kernel.org/pub/software/scm/git/docs/git-push.html#URLS
> [2]
> http://stackoverflow.com/questions/3777075/ssl-certificate-rejected-trying-to-access-github-over-https-behind-firewall
>
>
> On Wed, J
quot;insteadOf" or "https" in the readme.
>
>
> On Wed, Jul 30, 2014 at 1:11 PM, Florian Oswald
> wrote:
>
>> hmm, I don't know. but - this works:
>>
>> git clone g...@github.com:tlamadon/Utils.git
>>
>> and this doe
esday, 30 July 2014 18:06:03 UTC+1, Ivar Nesje wrote:
>
> Do you clone the other repositories over https or the ssh based git
> protocol?
>
> kl. 19:03:06 UTC+2 onsdag 30. juli 2014 skrev Florian Oswald følgende:
>>
>> i'm working on a remote server that has
>&g
i'm working on a remote server that has
git version 1.7.4.1
I could use this git to build julia and clone a host of other repos, but
when I want to do
Pkg.status()
it fails with
error: SSL certificate problem, verify that the CA cert is OK. Details:
error:14090086:SSL routines:SSL3_GET_SE
ltiplication.
>
> Dahua
>
> On Tuesday, July 29, 2014 4:22:32 PM UTC-5, Florian Oswald wrote:
>>
>> Hi all,
>>
>> I've got an algorithm that hinges critically on fast matrix
>> multiplication. I put up the function on this gist
>>
>> h
Hi all,
I've got an algorithm that hinges critically on fast matrix multiplication.
I put up the function on this gist
https://gist.github.com/floswald/6dea493417912536688d#file-tensor-jl-L45
indicating the line (45) that takes most of the time, as you can see in the
profile output that is the
venient to use for sure, but
> may not give the best performance.
>
> -viral
>
>
> On Monday, July 21, 2014 12:15:46 PM UTC+5:30, Florian Oswald wrote:
>>
>> Transposing is fine! Thanks for that!
>>
>> On Sunday, 20 July 2014, Odd Andersen wrote:
>>
Transposing is fine! Thanks for that!
On Sunday, 20 July 2014, Odd Andersen wrote:
> Sparse matrices in Julia are to my understanding stored as compressed
> sparse columns. So it is very easy to get the nonzero elements for a given
> column, but not so easy for rows.
>
> To get the indices of n
i am looking for a way to do something like
*s=sprand(3,5,0.6)*
*for i in 1:size(s,1)*
* mySparseRowFunction(s[i, ])*
*end*
I guess I'm looking for an iterator over the nonzero elements, ideally by
row. Does something like this exist? I know julia uses a different format,
but I'm look
the same error. This is making it really tough to get any
> work done, since I can't seem to add, remove or update packages now.
>
>
> On Saturday, July 19, 2014 7:47:05 AM UTC-4, Florian Oswald wrote:
>>
>> i'm getting this error here. any idea? I can't do Pkg.r
i'm getting this error here. any idea? I can't do Pkg.rm("GLM") - assuming
that's where the problem is.
*julia> **Pkg.update()*
*INFO: Updating METADATA...*
*INFO: Updating MOpt...*
*INFO: Updating StatsBase...*
*INFO: Updating Copulas...*
*INFO: Updating DataFrames...*
*INFO: Updating Ga
hi simon,
very interesting to know indeed! I'll keep that in mind. thanks!
On 17 July 2014 13:10, Simon Byrne wrote:
>
> On Wednesday, 16 July 2014 20:39:39 UTC+1, Florian Oswald wrote:
>>
>> myexp(parameter * mylog(x) )
>>
>> and it does make a sizeable diff
is of course up to you. To be honest
I'm not sure if the manual is the right place for things like that - but it
would be good to have them in *some* place.
cheers
florian
On Wednesday, 16 July 2014 21:47:58 UTC+1, Stefan Karpinski wrote:
>
> On Wed, Jul 16, 2014 at 12:39 PM, Florian Os
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