On Wed, Dec 16, 2009 at 9:25 AM, Nina Jeliazkova <nina at acad.bg> wrote:
> Hello All,
>>>> - Does the Validation service rely on such functionality, or calculates the
>>>> relevant statistics itself ?
>>>>
>>>>
>>> No, here is my (validation) point of view:
>>>
>>> Prediction models do not calculate prediction statistics on their own,
>>> they just make predictions.
>>> You can use the validation service to get the RMSE of a regression
>>> model on some dataset. The corresponding REST operation is the third
>>> command in the API
>>> (http://www.opentox.org/dev/apis/api-1.1/Validation). The RMSE as well
>>> as other regression statistics are available in the validation object
>>> which is returned.
>>>
>>
>> Fabian and I have thought about that and we think that the fact that our
>> algorithms expose supported statistics might be due to the fact we
>> normally work. Using the same implementation for model building and
>> validation. But in OpenTox that is not the case. We have separate
>> services for model building and validation. Consequently, the algorithms
>> building the model does not have to support any statistics. They are as
>> Martin points out correctly calculated in the validation service. The
>> only thing that has to be exposed (maybe) is, what kind of statistics
>> can be calculated on the predictions. Classification or regression
>> stats.
>> So in our opinion we could get rid of the "statisticsSupported" stuff.
>> We may expose if the algorithm is classification or regression but that
>> should be covered by the algorithm ontology.
>>
>>
> Do we all agree to remove "statisticsSupported" field from Algorithm RDF
> representation?


Agreed


>
> Best regards,
> Nina
>> Opinions?
>>
>> best regards
>> Tobias
>>
>>
>>
>
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-- 
Dipl-Inf. Martin Gütlein
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