Hi,

Thanks it worked.I was looking to save the model in  xml format and storing
the same in  SQL DB.I tried extracting model parameters and storing it.But
it dint work.Was not able to recreate the model although have the
parameters.Is there anyway of storing the model in SQL Database?

Regards,
Raghav

On Fri, Mar 26, 2010 at 2:24 PM, Prof Brian Ripley <ripley@stats.ox.ac.uk>wrote:

> Just save() the model fit.  See ?save.
>
>
> On Fri, 26 Mar 2010, RAGHAVENDRA PRASAD wrote:
>
>  Hi,
>>
>> Thanks for the info.I will try this.But i am working on real time
>> analytics
>> where model is built at some point of time and model needs to be used
>> whenever its required.Storing the workspace and reloading it everytime not
>> sure whether i can fit into real time scenario.l was looking for only
>> saving
>> the model and reloadinng it.
>>
>> Regards,
>> Raghav
>>
>> On Fri, Mar 26, 2010 at 1:32 PM, Katya Mauff <Katya.Mauff@uct.ac.za>
>> wrote:
>>
>>   Hi Raghav
>>>
>>> Not sure about storing the model so to speak-but you could save it as an
>>> object and then just save and reload your workspace?
>>>
>>> try: fix(model)
>>>
>>> there's probably a far more sophisticated way to do this, but if I'm
>>> understanding you correctly this is a quick fix...
>>>
>>> regards
>>> katya
>>>
>>>
>>>  RAGHAVENDRA PRASAD <raghav.nprasad@gmail.com> 2010/03/26 09:53 AM >>>
>>>>>>
>>>>>
>>> Hi,
>>>
>>> I have a NN model build using AMORE and NNET.If i want to reuse the model
>>> built on later  date.How can i store this model.In what format should i
>>> need
>>> to store the model.I wont be saving the session.I want to just store the
>>> model and recall this model whenever required.Is it possible to store? If
>>> yes,can someone provide any packages available.
>>>
>>> Regards,
>>> Raghav
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
>>>  ______________________________________________________________________________________________
>>>
>>>
>>>  UNIVERSITY OF CAPE TOWN
>>>
>>>  This e-mail is subject to the UCT ICT policies and e-mail disclaimer
>>> published on our website at
>>> http://www.uct.ac.za/about/policies/emaildisclaimer/ or obtainable from
>>> +27 21 650 4500. This e-mail is intended only for the person(s) to whom
>>> it
>>> is addressed. If the e-mail has reached you in error, please notify the
>>> author. If you are not the intended recipient of the e-mail you may not
>>> use,
>>> disclose, copy, redirect or print the content. If this e-mail is not
>>> related
>>> to the business of UCT it is sent by the sender in the sender's
>>> individual
>>> capacity.
>>>
>>>
>>>  _____________________________________________________________________________________________________
>>>
>>>
>>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
> --
> Brian D. Ripley,                  ripley@stats.ox.ac.uk
> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/<http://www.stats.ox.ac.uk/%7Eripley/>
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
>

	[[alternative HTML version deleted]]

