I am new to julia so i might ask a strange question.
So far i've been programming quite smoothly, but type managing leads me
astray.
I have 1d arrays i want to apply a confusion matrix function to from the
MLBase library.
http://mlbasejl.readthedocs.io/en/latest/perfeval.html
However i have
On Sat, 2016-11-19 at 20:48, Harish Kumar wrote:
> Thank you. I agree on python.. but my question was did they update the
> Pyjulia libraries for latest Julia version? . We tried with 0.4.3 which
> failed 6 months back. So we revered to 0.3.4. Or is this library remain
>
Thank you. I agree on python.. but my question was did they update the
Pyjulia libraries for latest Julia version? . We tried with 0.4.3 which
failed 6 months back. So we revered to 0.3.4. Or is this library remain
same for all Julia versions?
Any suggestion on this?
On Sat, Nov 19, 2016 at 7:38
On Sat, 2016-11-19 at 18:36, Harish Kumar wrote:
> Will it support Python 3.4 ? I am calling this from pyjulia interface
https://github.com/JuliaPy/pyjulia says that it is tested against 3.5,
but it doesn't say that 3.4 is not supported. So you should try.
> On Nov
Will it support Python 3.4 ? I am calling this from pyjulia interface
On Nov 19, 2016 4:58 PM, "Mauro" wrote:
> Julia 0.3.12, that's a stone-age version of Julia. You should move to 0.5!
>
> On Sat, 2016-11-19 at 16:42, Harish Kumar
> wrote:
> >
Julia 0.3.12, that's a stone-age version of Julia. You should move to 0.5!
On Sat, 2016-11-19 at 16:42, Harish Kumar wrote:
> I am using Version 0.3.12 calling from python (pyjulia). I do LME fit with
> 2.8 M rows and 60-70 Variables. It is taking 2 hours just to model
I am using Version 0.3.12 calling from python (pyjulia). I do LME fit with
2.8 M rows and 60-70 Variables. It is taking 2 hours just to model (+ data
transfer time). Any tips?
using MixedModels
modelREML = lmm({formula}, dataset)
reml!(modelREML,true)
lmeModel =
Welcome to Julia!
Without having read your post in detail, your example looks like your
using global variables to hold the state as you're not passing around
anything. Apart from bad style in general, in Julia this is also bad
for performance (read [1]). The compiler cannot work well with
Unlike Matlab, Julia doesn't give special treatment to script files.
By "script" we usually mean a file containing a series of expressions
(which can include type and function definitions) intended for
evaluation in the Main module. The Main module is where expressions
typed interactively at the
WARNING: redefining constant JULIA_HOME
InitError(:PyCall,PyError (:PyImport_ImportModule)
SystemError('initialization of _opcode did not return an extension module',)
signal (11): Segmentation fault
while loading no file, in expression starting on line 0
PyObject_Call at
Thanks for the comments on my second question. I missed the acute prepended
before 'stuff'.
On Saturday, November 19, 2016 at 3:14:13 PM UTC, Michele Zaffalon wrote:
>
> I don't know the answer to the first question.
>
> For the second, you should check
>
I don't know the answer to the first question.
For the second, you should check
https://github.com/Keno/ASTInterpreter.jl and in particular the
command `stuff.
On Sat, Nov 19, 2016 at 4:08 PM, wrote:
> Thanks! It now works for me. Two more quick questions:
>
> 1. Suppose
Thanks! It now works for me. Two more quick questions:
1. Suppose I have the following code where the variable A is defined
multiple times and after each definition it is used by the same function
function_to_debug. How can I step in function_to_debug with the first
definition/instantiation of
The @enter should be prepended to the function in the REPL, not in the
file itself. It should be something like this:
julia> include("/home/calvin/Documents/git/codes/fc.jl/examples/test.jl")
julia> @enter function_to_debug(args_to_function)
On Sat, Nov 19, 2016 at 11:43 AM,
Thanks for the comments. I tried what you suggested by adding @enter at the
beginning of a line where a function is called. But an error was thrown.
julia> include("/home/calvin/Documents/git/codes/fc.jl/examples/test.jl")
ERROR: LoadError: AssertionError: isa(arg,Expr) && arg.head == :call
in
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