Re: [igraph] bug in Graph.community_leading_eigenvector?

[Kurt J]

Hmmm, direct assignment doesn't seem to work...

>>> igraph.arpack_options.maxiter=5000
>>> igraph.arpack_options.maxiter
3000
>>> 

no error, but the value doesn't change.

> Actually, if you want to optimize modularity, the fastgreedy and
> especially the spinclass methods tend to work better.

was hoping to try both methods and compare.  my graph is rather large ~15k nodes.

thanks,
Kurt J

On Mon, Mar 24, 2008 at 5:49 PM, Tamas Nepusz <address@hidden> wrote:

You have to set maxiter. iter is a read-only attribute which contains
the number of iterations reached at the last invocation of an ARPACK-
based routine.

--
T.

On 2008.03.24., at 18:46, Kurt J wrote:
> Sounds simple enough, however i'm not clear on how i set the values
>
> >>> igraph.arpack_options.iter
> 3000
> >>> igraph.arpack_options.iter=5000
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
> AttributeError: iter
>
>
> On Mon, Mar 24, 2008 at 4:31 PM, Tamas Nepusz <address@hidden>
> wrote:
> Hi,
>
> > Using igraph 0.5 in python 2.5 in osx 10.4, i'm running the
> > leading_eigenvector community detection method and I get the
> > following warning:
> Eigenvector calculations in igraph 0.4.5 were not based on ARPACK, so
> that's the cause why there's no warning in 0.4.5. I can't judge
> whether the result of 0.4.5 is correct or the result of 0.5; but maybe
> raising the maximum number of iterations allowed in the ARPACK module
> will help. The Python interface has a variable called arpack_options,
> which is an instance of class ARPACKOptions (see
> help(arpack_options)). arpack_option has an attribute called maxiter
> (which is 3000 per default) that can be modified to allow more
> iterations. Maybe this helps, maybe not.
>
> --
> Tamas
>
>
>
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