RE: [math]

2013-02-27 Thread Glautier S.P.
Thanks Gilles, I'm using 3.0, will try again with latest.

I'm minimising and if updating doesn't fix it I'll send some more information.

Steve.

>-Original Message-
>From: Gilles [mailto:gil...@harfang.homelinux.org] 
>Sent: 27 February 2013 13:06
>To: user@commons.apache.org
>Subject: Re: [math]
>
>Hello.
>
>On Wed, 27 Feb 2013 12:23:44 +, Glautier S.P. wrote:
>> Dear list, I'd be grateful for any help on the following:
>>
>> I am using the CMAESOptimizer in the java commons.math3 library to 
>> generate a best fit for a model of learning to some experimental data.
>> When I take the best parameters generated by the optimisation and plug 
>> them into the model, the fit between the model and the data doesn't 
>> match that which I expect on the basis of the optimisation output. In 
>> the cases I have checked the optimiser output best fit (the value part 
>> of the PointValuePair that comes at the end of the optimisation) is 
>> slightly larger than the value I get when I run the model using the 
>> parameters from the optimiser output (the point part of the 
>> PointValuePair that comes at the end of the optimisation).
>>
>> I have spent quite a long time checking my code and I can't find what 
>> the problem is but it occurred to me that there might be something 
>> about the optimisation output that I haven't understood properly. Am I 
>> correct to assuming that the parameters produced at the end of the 
>> optimisation are those that produced the associated best fit value?
>
>Yes, that should be so.
>
>Which version of Commons Math are you using?
>
>[To figure out what could have happened, it would be easier to have the actual 
>numbers for the parameters and associated cost and the function to be 
>optimized (minimized or maximized?).]
>
>
>Best regards,
>Gilles


[math]

2013-02-27 Thread Glautier S.P.
Dear list, I'd be grateful for any help on the following:

I am using the CMAESOptimizer in the java commons.math3 library to generate a 
best fit for a model of learning to some experimental data. When I take the 
best parameters generated by the optimisation and plug them into the model, the 
fit between the model and the data doesn't match that which I expect on the 
basis of the optimisation output. In the cases I have checked the optimiser 
output best fit (the value part of the PointValuePair that comes at the end of 
the optimisation) is slightly larger than the value I get when I run the model 
using the parameters from the optimiser output (the point part of the 
PointValuePair that comes at the end of the optimisation).

I have spent quite a long time checking my code and I can't find what the 
problem is but it occurred to me that there might be something about the 
optimisation output that I haven't understood properly. Am I correct to 
assuming that the parameters produced at the end of the optimisation are those 
that produced the associated best fit value?


Thanks, Steve.


__
Dr. Steven Glautier,
School of Psychology,
Southampton University,
Southampton, SO17 1BJ, UK.
(+44) 023-8059-2589
Home page: http://www.southampton.ac.uk/psychology/about/staff/spg.page
Research participation online: http://www.virtualpsyclab.net/



RE: search mailing lists

2013-02-02 Thread Glautier S.P.
Thanks Benedikt, that's exactly what I wanted!


-Original Message-
From: Benedikt Ritter [mailto:brit...@apache.org] 
Sent: 02 February 2013 18:24
To: Commons Users List
Subject: Re: search mailing lists

2013/2/2 Glautier S.P. 

> Hi, is there anyway to search the mailing list archives (apart from 
> manually)?
>

Hi Steve,

what exactly do you mean with "manually"? I usually use MailMark [1] to search 
the lists. If you know, what you are looking for, it works pretty well.

Regards,
Benedikt

[1] http://markmail.org/list/org.apache.commons.users/


> Thanks, Steve.
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search mailing lists

2013-02-02 Thread Glautier S.P.
Hi, is there anyway to search the mailing list archives (apart from manually)?

Thanks, Steve.
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