Hi Carsten, This is a two-parter...
I can help with the first, and maybe @rhyolight can help with the second. RE: The first problem (IllegalArgumentException) can you write back with your whole stack trace? We'll take it from there... Cheers, David On Mon, Oct 19, 2015 at 8:15 AM, Carsten Schnober < [email protected]> wrote: > Hi, > To get started with HTM(.java), I am trying to re-implement the category > prediction example from the Python version in Java. > However, I am trying to figure out the exact model parameters as > specified here: > > https://github.com/numenta/nupic/blob/master/examples/prediction/category_prediction/run.py > > At first, I am trying to decode the Python example in as much detail as > I am able to. Please correct me where I am wrong: > > The model: > - CLA > - One region, one layer with a spatial pooler and a temporal memory. > > Sensor: > - read the token list (produced beforehand, one token per line, no > stopwords, sequential order). > > Hence, what I am aiming for in the Java implementation (pseudo-code): > - Create a CLA model: `Network.create("CLA", parameters)` > - Create a region: `model.add(Network.createRegion("CLAClassifierRegion"))` > - Create a layer: `region.add(Network.createLayer("Layer 2/3", parameters) > .add(new SpatialPooler()) > .add(new TemporalMemory())` > - Add a sensor to the layer: > `layer.add(Sensor.create(FileSensor::create, > SensorParams.create(Keys::path, "", tokensFile.getAbsolutePath())))));` > > > The first issue I run into is the sensor which causes a > IllegalArgumentException: > Exception in thread "main" java.lang.IllegalArgumentException: Cannot > initialize this Sensor's MultiEncoder with a null settings > > I suspect this might have to do with the FileSensor requiring a CSV > file, doesn't it? The tokens with, however, is one token per line. I was > hoping that this somehow corresponds to a CSV with a single column though. > > Furthermore, I am not sure how to train and run the network in the > following. I've created a gist with my initial start, perhaps you could > comment on that: https://gist.github.com/carschno/7f3828c2ea0c1a2b3be9 > > Thanks! > Carsten > > > > -- > Carsten Schnober > Doctoral Researcher > Ubiquitous Knowledge Processing (UKP) Lab > FB 20 / Computer Science Department > Technische Universität Darmstadt > Hochschulstr. 10, D-64289 Darmstadt, Germany > phone [+49] (0)6151 16-6227, fax -5455, room S2/02/B111 > [email protected] > www.ukp.tu-darmstadt.de > > Web Research at TU Darmstadt (WeRC): www.werc.tu-darmstadt.de > GRK 1994: Adaptive Preparation of Information from Heterogeneous Sources > (AIPHES): www.aiphes.tu-darmstadt.de > PhD program: Knowledge Discovery in Scientific Literature (KDSL) > www.kdsl.tu-darmstadt.de > > -- *With kind regards,* David Ray Java Solutions Architect *Cortical.io <http://cortical.io/>* Sponsor of: HTM.java <https://github.com/numenta/htm.java> [email protected] http://cortical.io
