I'm not sure if it will work, but I would try this: 1. Create a model that takes two fields, one float field (let's call it "number") and one category field (let's call it "label").
2. Make "label" the predictedField. 3. For the sequences (1,2,3 => 'seq1') and (4,5,8 => 'seq2'), feed them to the model as follows: number, label ------------------ 1, seq1 2, seq1 3, seq1 RESET SEQUENCE 4, seq2 5, seq2 8, seq2 4. Disable learning. 5. Feed the test sequence, and get predictions: number, label ------------------ 1.1, 1.9, 2.8, 6. Let us know if it worked! On Thu, Apr 3, 2014 at 5:34 AM, Scheele, Manuel < [email protected]> wrote: > Hi Matt, > > Yes, that is what I want to do. I want to show the CLA a sequences with > labels (call sequence 1,2,3 'seq1' and sequence 4,5,8 'seq2') and then show > noisy sequences and see if it can assign the correct label to it ( assign > label 'seq1' to sequence 1.1,1.9,2.8). Can you help me to find the correct > "inferenceType" and "inferenceArgs" for the search_def.json for swarming? > > Regards, > Manuel > ________________________________________ > From: nupic [[email protected]] on behalf of Matthew Taylor > [[email protected]] > Sent: 02 April 2014 18:21 > To: NuPIC general mailing list. > Subject: Re: [nupic-discuss] NuPIC Recognition Tasks > > Can you elaborate a bit? You want to do sequence recognition but not > prediction. Does that mean you want to recognize the current sequences the > CLA recognizes are occurring at any point in the data? > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Tue, Apr 1, 2014 at 11:34 PM, Scheele, Manuel < > [email protected]<mailto:[email protected]>> > wrote: > Hi All, > > When I want to do sequence recognition (i.e. no prediction, just > recognition of the input) what should I set the "inferenceType" and > "inferenceArgs" to in the search_def.json for swarming? > > Thanks for the help, > Manuel > _______________________________________________ > nupic mailing list > [email protected]<mailto:[email protected]> > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >
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