It's not the same data (different locations) but I have tried to use same input and output variables.
Thanks Waseem On Wed, Jun 1, 2016 at 12:02 PM, Andrew Holmes <andrewholme...@icloud.com> wrote: > A previous commenter asked about the published research you mentioned in > which this was working ok. If you’re using the same data as them, could you > try to replicate their results first? > > Best wishes > Andrew > > @andrewholmes82 <http://twitter.com/andrewholmes82> > > > > > > > > > On 31 May 2016, at 20:05, muhammad waseem <m.waseem.ah...@gmail.com> > wrote: > > I try to balance it out, the dataset is very periodic type (similar > behaviour in an year) > > On Tue, May 31, 2016 at 8:01 PM, Andrew Holmes <andrewholme...@icloud.com> > wrote: > >> Is the training set unbalanced between high and low values? Ie, many more >> of the high ones? >> >> Best wishes >> Andrew >> >> @andrewholmes82 <http://twitter.com/andrewholmes82> >> >> >> >> >> >> >> >> >> On 31 May 2016, at 20:00, muhammad waseem <m.waseem.ah...@gmail.com> >> wrote: >> >> Yes, it has poor performance (higher errors) on lower values. >> I have tried random forest but as I mentioned it did not give good >> results either, I can try SVR. >> >> Kindest Regards >> Waseem >> >> On Tue, May 31, 2016 at 6:54 PM, Andrew Holmes <andrewholme...@icloud.com >> > wrote: >> >>> When you say it’s not learning ‘lower values’, does that mean the model >>> has good predictions on high values in the test set, but poor performance >>> on the low ones? >>> >>> Have you tried simpler models like tree, random forest and svm as a >>> benchmark? >>> >>> Best wishes >>> Andrew >>> >>> @andrewholmes82 <http://twitter.com/andrewholmes82> >>> >>> >>> >>> >>> >>> >>> >>> >>> On 31 May 2016, at 16:59, Andrew Holmes <andrewholme...@icloud.com> >>> wrote: >>> >>> If the problem is that it’s confusing day and night, are you including >>> time of day as a parameter? >>> >>> Best wishes >>> Andrew >>> >>> @andrewholmes82 <http://twitter.com/andrewholmes82> >>> >>> >>> >>> >>> >>> >>> >>> >>> On 31 May 2016, at 16:55, muhammad waseem <m.waseem.ah...@gmail.com> >>> wrote: >>> >>> Hi All, >>> I am trying to train an ANN but until now it is not learning the lower >>> values of the training sample. I have tried using different python >>> libraries to train ANN. The aim is to predict solar radiation from other >>> weather parameters (regression problem). I think the ANN is confusing lower >>> values (winter/cloudy days) with the night-time values (probably). I have >>> tried the following but none of them worked; >>> >>> 1. Scaling data between different values e.g. [0,1],[-1,1] >>> 2. Standardising data to have zero mean and unit variance >>> 3. Shuffling the data >>> 4. Increasing the training samples (from 3 years to 10 years) >>> 5. Using different train functions >>> 6. Trying different transfer functions >>> 7. Using few input variables >>> 8. Varying hidden layers and hidden layers' neurons >>> >>> Any idea what could be wrong or any directions to try? >>> >>> Thanks >>> Kindest Regards >>> Waseem >>> _______________________________________________ >>> scikit-learn mailing list >>> scikit-learn@python.org >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> >>> >>> >>> >>> _______________________________________________ >>> scikit-learn mailing list >>> scikit-learn@python.org >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> >>> >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> >> >> >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> >> > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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