Hi Phil,
Welcome! and thanks for using HTM.java! It's great to hear from people who
are using it.
When setting up the network (NAPI) , and when using the line:
Network network = Network.create("test network", p)
.add(Network.createRegion("r1")
.add(Network.createLayer("1", p)
----> .alterParameter(KEY.AUTO_CLASSIFY, Boolean.TRUE)
.add(Anomaly.create())
.add(new TemporalMemory())
.add(new SpatialPooler())
.add(Sensor.create(FileSensor::create,
SensorParams.create(
Keys::path, "", ResourceLocator.path(
"rec-center-hourly.csv"))))));
==============
... alterParameter(KEY.AUTO_CLASSIFY, Boolean.TRUE)
Classifiers are automatically set up for you. At this time, the NAPI sets
up classifiers for all fields (each with its own classifier) - without the
ability to limit the classifier creation to one or some number of
classifiers less than the number of fields.
So no, you do not have to worry about which column your intended field
resides in terms of sequence order.
Classifiers and their results may be retrieved using the following syntax:
(From your subscriber...)
public void onNext(Inference i) {
Map<String, NamedTuple> m = i.getClassifierInput();
System.out.println(m);
}
...will print out the Encoder inputs used to associate Classifier inputs,
such as:
key=encoding, value=[I@32fa1633, hash=3
key=bucketIdx, value=20, hash=3 <-- bucket here refers to
encoder bucket
key=name, value=timestamp, hash=3
=========
public void onNext(Inference i) {
NamedTuple nt = i.getClassifiers();
System.out.println(nt);
}
...will print out the NamedTuple containing the field name key to
classifier values, such as:
keys: Bucket: 0
Bucket: 1
key=consumption, value=org.numenta.nupic.algorithms.CLAClassifier@7d907bac,
hash=1
Bucket: 2
key=timestamp, value=org.numenta.nupic.algorithms.CLAClassifier@7791a895,
hash=2
Bucket: 3
... The above Buckets refer to the NamedTuple hash buckets not the encoder
(just pointing that out).
=========
public void onNext(Inference i) {
System.out.println("keys c: " + i.getClassification("consumption"
).getMostProbableValue(1));
System.out.println("keys t: " + i.getClassification("timestamp"
).getMostProbableValue(1));
}
... will print out the most probable values as computed by the two
classifiers (how many classifiers you have will correspond to the number of
fields).
example printout:
keys c: 21.2
keys t: 2010-07-02T00:00:00.000-05:00
keys c: 16.4
keys t: 2010-07-02T00:00:00.000-05:00
keys c: 16.4
keys t: 2010-07-02T01:00:00.000-05:00
keys c: 4.7
keys t: 2010-07-02T02:00:00.000-05:00
keys c: null
keys t: null
keys c: 4.67
keys t: null
keys c: 23.5
keys t: 2010-07-02T05:00:00.000-05:00
keys c: 23.5
keys t: 2010-07-02T05:00:00.000-05:00
keys c: 45.4
keys t: 2010-07-02T07:00:00.000-05:00
keys c: null
keys t: null
nulls are produced in some cases because I only ran this for 9 iterations
so the network didn't have time to "warm up".
============
At this time, all fields must have corresponding Field Encoding Maps setup
and inserted into your Parameters. For example:
Map<String, Map<String, Object>> fieldEncodings =
NetworkTestHarness.getNetworkDemoFieldEncodingMap();
Parameters p = Parameters.getAllDefaultParameters();
p.setParameterByKey(KEY.FIELD_ENCODING_MAP, fieldEncodings);
The NetworkTestHarness is meant to be used as a convenience guide for
parameters setup. The defaults it uses will not work for all cases, but it
shows the technique by which you would enter parameters for each one of
your columns (an unfortunate necessity at this point in time).
I hope this helps!
Cheers,
David
On Tue, Dec 22, 2015 at 7:11 PM, Phil iacarella <[email protected]>
wrote:
> Hey Nupic,
>
> I’m in the process of using NuPIC to predict the next fueling location of
> drivers. I’ve setup a single 2/3 layer with SP and Classifier. I’m
> implementing in HTM.java. The data being fed into the layer consists of 3
> fields (there could be more fields in the future depending on the
> relevance): datetime, driverID, Location.
>
> My question is how do I specify the field to be used in the Classifier. It
> looks as if the Classifier assumes the 2nd field to be the one to classify
> by. Do I have to organize my inputs such that the classified field is in
> the 2nd position?
>
> Thanks
> Phil
>
--
*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
