Thank u Scott and Fergal.That really cleared my confusion. On 2 February 2015 at 08:56, Fergal Byrne <[email protected]> wrote:
> Hi Dinesh, > > Swarming is used to help find good model parameters for a given task. > You're the one with the objective, so you specify what prediction the model > should make, and that's the field or value which each model is set to > predict. The swarming algorithm runs a number of candidate model setups, > each makes its predictions of your target, and the algorithm compares those > with the real values. > > Regards, > > Fergal Byrne > > > On Mon, Feb 2, 2015 at 7:03 AM, Dinesh Deshmukh <[email protected]> > wrote: > >> In AAE we have predicted value and true value.We already have the true >> value but how we get the predicted value. >> >> >> On 16 January 2015 at 19:17, Scott Purdy <[email protected]> wrote: >> >>> The error metrics are configurable. The two most commonly used are >>> average absolute error (AAE) and mean absolute percentage error (MAPE). You >>> can also specify a moving window so instead of calculating the error at a >>> given point over all data so far, you calculate the metric over the last >>> 1000 records (or whatever you specify). >>> >>> Swarming doesn't change the model it uses on a per-record basis. >>> Instead, when it picks a new parameter set it runs it all the way through >>> and then takes the final error metric (which may be computed over just the >>> last X records) and compares it to other models tried. >>> >>> On Thu, Jan 15, 2015 at 7:36 PM, Dinesh Deshmukh <[email protected]> >>> wrote: >>> >>>> The documents about swarming illustrate how the error is calculated,but >>>> i cant understand what the error itself mean.That is on what comparisons >>>> does i get the error value? >>>> >>>> What i understand is,if i have 100 data units then swarming would use >>>> may be some 50 data units and then predict 51 using different models and it >>>> choose the model which is close to the prediction of 51(the error >>>> calculation model prediction subtracted by 51). >>>> Finally the best model swarming has given is used to predict unknown >>>> data i.e 101 or 102 or so on... >>>> >>>> Is this view correct? >>>> >>>> >>> >> > > > -- > > Fergal Byrne, Brenter IT > > http://inbits.com - Better Living through Thoughtful Technology > http://ie.linkedin.com/in/fergbyrne/ - https://github.com/fergalbyrne > > Founder of Clortex: HTM in Clojure - > https://github.com/nupic-community/clortex > > Author, Real Machine Intelligence with Clortex and NuPIC > Read for free or buy the book at https://leanpub.com/realsmartmachines > > Speaking on Clortex and HTM/CLA at euroClojure Krakow, June 2014: > http://euroclojure.com/2014/ > and at LambdaJam Chicago, July 2014: http://www.lambdajam.com > > e:[email protected] t:+353 83 4214179 > Join the quest for Machine Intelligence at http://numenta.org > Formerly of Adnet [email protected] http://www.adnet.ie >
