Le vendredi 16 janvier 2015 à 14:29 +0800, K leo a écrit :
julia A=zeros(UTF8String, 5)
ERROR: `zero` has no method matching zero(::Type{UTF8String})
in zeros at array.jl:169
This used to work, but with the new update it doesn't. Any idea?
Doesn't work on 0.3.4 either. But what would you
Ah I see, that helps. Thanks ppl =)
On Friday, January 16, 2015 at 11:56:39 AM UTC+8, Andreas Noack wrote:
Rounding can make a numerically singular matrix regular so that is
probably what we are seeing here. You initial covariance matrix is actually
singular, but when copied from the mail
I think there might have been a package that defined something like this once.
Do you get this error from a package?
@Erik Schnetter
Would you suggest:
type Packet{T}
ID:::Vector{T}
position::Vector{Vector3{T}}
direction::Vector{Vector3{T}}
energy::Vector{T}
time:::Vector{T}
end
instead of Vector{Packet} ?
Is this, because Packet is to big for the registers, but Vector3
I want the array to be initialized with every element being . Can't say
about 0.3.4, but it definitely worked under 0.3.3. Are there any other
easy ways for what I want?
On Friday, January 16, 2015, Milan Bouchet-Valat nalimi...@club.fr wrote:
Le vendredi 16 janvier 2015 à 14:29 +0800, K leo
You can do it with an array comprehension like: [ for i=1:5]
On Friday, January 16, 2015 at 6:59:19 AM UTC-5, K leo wrote:
I want the array to be initialized with every element being . Can't say
about 0.3.4, but it definitely worked under 0.3.3. Are there any other
easy ways for what I want?
If anything, this should be ones(UTF8String, n).
Le vendredi 16 janvier 2015 à 19:59 +0800, K leo a écrit :
I want the array to be initialized with every element being . Can't
say about 0.3.4, but it definitely worked under 0.3.3. Are there any
other easy ways for what I want?
As Ivar said, this was probably defined in some package, not in
Hello, Shea,
I don't think there are any plans for this, specifically. It could,
however, mostly be done now with macros. (The biggest missing part is that
`where` can't be paired with `end` right now, so you'd still need a `begin`
after the where.)
As an aside, if you haven't seen it yet, you
I believe DataFrames.jl used to define this, at least.
Cheers,
Kevin
On Fri, Jan 16, 2015 at 5:54 AM, Milan Bouchet-Valat nalimi...@club.fr
wrote:
Le vendredi 16 janvier 2015 à 19:59 +0800, K leo a écrit :
I want the array to be initialized with every element being . Can't
say about
factorial(BigInt(21)) works
On Monday, January 12, 2015 at 10:10:06 PM UTC-5, Carlos Baptista wrote:
I understand that factorial(21) is quite a large number and therefore an
OverflowError is perfectly understandable. However, with Octave I can go up
to factorial(170) (if I go higher I
Thought this could be interesting to some:
http://torch.ch/
Would have been cool if they had used Julia instead of LUAjit =)
And OpenCL, instead of going for the Vendor lock -.-
Nevertheless, it's an interesting library!
Best,
Simon
Hi Simon,
just in case you are looking for a Julia-based deep learning framework, there
is Mocha.jl (https://github.com/pluskid/Mocha.jl), which is very well designed
and documented, and a pleasure to use.
cheers,
rene
Am 16.01.2015 um 19:27 schrieb Simon Danisch sdani...@gmail.com:
I haven't used it in a long while, but torch has been around for a lot
longer than Julia--even the version which uses Lua--so Julia wasn't really
an option for it.
At any rate, Julia is slowly gaining similar functionality.
Cheers!
Kevin
On Friday, January 16, 2015, Simon Danisch
Thanks Frank :) , similar answers were already given
On 16/01/2015, Frank Kampas fkam...@gmail.com wrote:
factorial(BigInt(21)) works
On Monday, January 12, 2015 at 10:10:06 PM UTC-5, Carlos Baptista wrote:
I understand that factorial(21) is quite a large number and therefore an
Torch has been around in various incarnations since ~2002, and the LuaJIT
version (Torch7) was released in 2011. I think the big news here is the
release of a set of Facebook-originated libraries deep learning libraries:
This is super cool. I wonder if it wouldn't be possible allow Julia to
operate on JavaScript typed arrays in-place?
On Fri, Jan 16, 2015 at 4:20 PM, Kevin Squire kevin.squ...@gmail.com
wrote:
Hi Jeff, can you share a link?
Cheers, Kevin
On Fri, Jan 16, 2015 at 1:06 PM, Jeff Waller
On Friday, January 16, 2015 at 4:26:30 PM UTC-5, Stefan Karpinski wrote:
This is super cool. I wonder if it wouldn't be possible allow Julia to
operate on JavaScript typed arrays in-place?
Hmm, maybe! With some caveats first the good news.
Here's where the Javascript array buffer is
Could you email the julia-box mailing list
https://groups.google.com/forum/#!forum/julia-box with this question?
On Fri, Jan 16, 2015 at 2:56 AM, Xiaowei Zhang xiaowei.w.zh...@gmail.com
wrote:
Hi all,
I'm preparing a course on Monte Carlo simulation and would like try Julia
as the teaching
Yes, that's a good link! And they say they're the fastest around, so I
guess it's worth looking at their code and get some inspirations from it ;)
Am Freitag, 16. Januar 2015 19:27:56 UTC+1 schrieb Simon Danisch:
Thought this could be interesting to some:
http://torch.ch/
Would have been
Suppose I have a model which contains many parameters. I'd like to store my
parameters in a type, for example
type Parameters
sigma::Real
xi::Real
eta::Real
beta::Real
rho::Real
agrid::FloatRange
end
and then I need to assign some values to my parameters. The natural way I
see to do
Have you tried using tasks with start_timer and interrupt?
On Tue, Jan 13, 2015 at 7:42 AM, Robert Feldt robert.fe...@gmail.com
wrote:
Is there any way to run a function a maximum time without adding
additional procs? I now use an implementation based on this StackOverflow
answer:
LeCun programs using Torch/Lua so it was expected.
On Friday, January 16, 2015 at 1:27:56 PM UTC-5, Simon Danisch wrote:
Thought this could be interesting to some:
http://torch.ch/
Would have been cool if they had used Julia instead of LUAjit =)
And OpenCL, instead of going for the Vendor
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