Re: looping the optimization in full_analysis.py -- August 29, 2007 - 17:59

Hi,

If you have the CONV_LOOP flag set to 1, this approach should work
without problem.  The issue is simply the bug you identified and not
this looping over all diffusion models.

Regards,

Edward



On 8/29/07, Douglas Kojetin <douglas.kojetin@xxxxxxxxx> wrote:
> Have you also tried looping over all of the DIFF_MODEL options in one
> script, such as:
>
> """
> MODELS_TO_RUN = ['local_tm', 'sphere', 'prolate', 'oblate', 'ellipsoid']
>
> for DIFF_MODEL in MODELS_TO_RUN:
>
>       # execute the rest of the full_analysis protocol
>
>       # The model-free models (do not change these unless absolutely
> necessary).
>       MF_MODELS = ['m0', 'm1', 'm2', 'm3', 'm4', 'm5', 'm6', 'm7', 'm8',
> 'm9']
>       LOCAL_TM_MODELS = ['tm0', 'tm1', 'tm2', 'tm3', 'tm4', 'tm5', 'tm6',
> 'tm7', 'tm8', 'tm9']
>
>       # The type of heteronucleus.
>       HETNUC = 'N'
>
>       ......
> """
>
> If so, can you post an example?  I initially tried something like this, but
> started seeing an error.  So I dropped back down to a basic full_analysis.py
> script, but saw the error I sent in a previous post.
>
> Thanks,
> Doug
>
>
>
> On Aug 29, 2007, at 10:16 AM, Sebastien Morin wrote:
> Hi all,
>
> I just tried, a couple of days ago, the CONV_LOOP = 1 option in the
> full_analysis,py script.
>
> Strangely (as opposed to Douglas), it works well for me with different
> DIFF_MODEL options. Also, I get the same exact results for differents rounds
> of calculation/optimization (chi-squared, model convergence, etc).
>
> I used line 1.2 revision 3354.
>
> Cheers
>
>
>
> Séb