Re: Experimenter

Eibe Frank <[email protected]>
Newsgroups gmane.comp.ai.weka
Message-ID <[email protected]>
Yes, you are correct, but there is a (hacky) solution: in the advanced mode of the Experimenter, switch to the CrossValidationSplitResultProducer and set the number of runs to 100. Please verify that you get the same result (on a small test dataset perhaps).

Cheers,
Eibe

> On 10/12/2021, at 4:29 AM, Joel Ratsaby <[email protected]> wrote:
> 
> I am running Experimenter with "Distribute" on multiple RemoteEngines.
> I want to know if it is possible to use a number of RemoteEngines which is larger than the total number of Runs.
> 
> For instance, suppose I do 10-fold cross validation and "From 1 To 10" runs per data set  and algorithm.
> 
> Suppose I have 10 algorithms and 10 data sets.
> 
> So if I understand, in total, there will be 10 runs (each of 10-fold cross validation) for each of the 10x10=100 combinations (where a combination is (algorithm, dataset)).
> 
> So 1,000 runs of 10-fold cross validation per run.
> 
> Now, suppose I have 25 cores (and I launched 25 RemoteEngines on the computer).
> 
> From my experiments, it appears that only 10 remote engines are in use for executing all the runs. It appears that the number of RemoteEngines in use = the number of runs per combination. In the above, 10 runs per combination.
> 
> Is this correct?
> 
> It seems that it would be more beneficial if I could use all my cores, say, 25 cores, to run all the 1,000 runs, rather than use just 10 cores.
> 
> Is it possible to configure this?
> 
> 
> thanks
> Joel
> 
> 
> 
> 
> 
> 
> 
> -- 
> Prof. Joel Ratsaby
> http://www.ariel.ac.il/sites/ratsaby
> Electrical and Electronics Engineering Dept.
> Ariel University
> ARIEL 40700
> ISRAEL
> 
> 
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