Cas, You won't see an anomaly score out of the HTM Engine until it has seen 500 data points. Has it seen that much data yet?
--------- Matt Taylor OS Community Flag-Bearer Numenta On Mon, Nov 2, 2015 at 4:25 AM, Cas <[email protected]> wrote: > As I said I'm trying out the HTM engine traffic tutorial where all the model > params are generated automatically when the client starts offering data to > the HTTP API. > > Now, I don't know exactly how to interpret the metric records, but I can at > least tell that the inferencetype is what it should be. > > So I've concluded that part of the tutorial that runs the data through HTM > Engine probably isn't doing it's job. The logs in supervisord tell me all > the services are working fine (though I had to manually open the port for > htmengine:model_scheduler). I would assume that the traffic tutorial is > configured to do postprocessing, based on the HTM engine's README. > > It's probably a silly oversight on my part, but right now I just dont know > what to make of this. Hope someone can help out! > > Kind regards, > > Casper Rooker > [email protected] > > P.S.: > > One such model params record in the metrics table: > > { > "inferenceArgs": { > "predictionSteps": [ > 1 > ], > "predictedField": "c1", > "inputPredictedField": "auto" > }, > "modelConfig": { > "aggregationInfo": { > "seconds": 0, > "fields": [], > "months": 0, > "days": 0, > "years": 0, > "hours": 0, > "microseconds": 0, > "weeks": 0, > "minutes": 0, > "milliseconds": 0 > }, > "model": "CLA", > "version": 1, > "predictAheadTime": null, > "modelParams": { > "sensorParams": { > "verbosity": 0, > "encoders": { > "c0_dayOfWeek": null, > "c0_timeOfDay": { > "fieldname": "c0", > "timeOfDay": [ > 21, > 9.49122334747737 > ], > "type": "DateEncoder", > "name": "c0" > }, > "c1": { > "name": "c1", > "resolution": 0.7017543859649122, > "seed": 42, > "fieldname": "c1", > "type": "RandomDistributedScalarEncoder" > }, > "c0_weekend": null > }, > "sensorAutoReset": null > }, > "clEnable": false, > "spParams": { > "columnCount": 2048, > "spVerbosity": 0, > "maxBoost": 1.0, > "spatialImp": "cpp", > "inputWidth": 0, > "synPermInactiveDec": 0.0005, > "synPermConnected": 0.1, > "synPermActiveInc": 0.0015, > "seed": 1956, > "numActiveColumnsPerInhArea": 40, > "globalInhibition": 1, > "potentialPct": 0.8 > }, > "trainSPNetOnlyIfRequested": false, > "clParams": { > "alpha": 0.035828933612158, > "clVerbosity": 0, > "steps": "1", > "regionName": "CLAClassifierRegion" > }, > "tpParams": { > "columnCount": 2048, > "activationThreshold": 13, > "pamLength": 3, > "cellsPerColumn": 32, > "permanenceInc": 0.1, > "minThreshold": 10, > "verbosity": 0, > "maxSynapsesPerSegment": 32, > "outputType": "normal", > "globalDecay": 0.0, > "initialPerm": 0.21, > "permanenceDec": 0.1, > "seed": 1960, > "maxAge": 0, > "newSynapseCount": 20, > "maxSegmentsPerCell": 128, > "temporalImp": "cpp", > "inputWidth": 2048 > }, > "anomalyParams": { > "anomalyCacheRecords": null, > "autoDetectThreshold": null, > "autoDetectWaitRecords": 5030 > }, > "spEnable": true, > "inferenceType": "TemporalAnomaly", > "tpEnable": true > } > }, > "inputRecordSchema": [ > [ > "c0", > "datetime", > "T" > ], > [ > "c1", > "float", > "" > ] > ] > } > > On Mon, Nov 2, 2015 at 12:14 PM, Wakan Tanka <[email protected]> wrote: >> >> On 11/02/2015 11:31 AM, Cas wrote: >>> >>> Hello NuPIC, >>> >>> I was trying out the HTM engine traffic tutorial today and I got it >>> running. Unfortunately the anomaly score is 'none' for all data points. >>> >>> Do you have any suggestions on how to troubleshoot this? >>> >>> I know all the services are running, from the looks of the supervisord >>> interface. I'd like to see how the data points are being offered to the >>> HTM engine for starters, I'm just not sure how to do that. >>> >>> Kind regards, >>> >>> Casper Rooker >>> [email protected] <mailto:[email protected]> >> >> >> Hello Casper, >> >> Be sure that you've set "inferenceType": "TemporalAnomaly" if you have >> "inferenceType": "TemporalMultiStep" then you are unable to get anomaly >> score just predictions. >> >> regards >> >> Wakan Tanka >> >
