Thanks for your quick response, Matt. > On Feb 21, 2015, at 23:46, Matthew Taylor <[email protected]> wrote: > > Hi David, thanks for the report. Unfortunately, I cannot tell what the > root error is, because of > https://github.com/numenta/nupic/issues/1815.
Oh, yes, that looks familiar. Sorry I didn’t see that before reporting. > If you don't mind doing a little legwork, you might be able to help us > identify the problem. > > 1. Download our source code by either: > - git clone https://github.com/numenta/nupic.git > - or get the tarball at https://github.com/numenta/nupic/archive/master.zip > 2. Run the simple hotgym example code: > - cd nupic/examples/opf/clients/hotgym/simple > - python hotgym.py > > Does this give you any errors? Yes, the error was: [[ Traceback (most recent call last): File "hotgym.py", line 94, in <module> runHotgym() File "hotgym.py", line 69, in runHotgym with open (findDataset(_DATA_PATH)) as fin: File "/usr/local/lib/python2.7/dist-packages/nupic/data/datasethelpers.py", line 79, in findDataset (datasetPath, os.environ.get('NTA_DATA_PATH', ''))) Exception: Unable to locate: extra/hotgym/rec-center-hourly.csv using NTA_DATA_PATH of ]] The last line was really truncated as shown. There was nothing following the trailing “of” other than the shell prompt. So the problem does seem to be related to the data file not being found. I changed this line in hotgym.py: [[ _DATA_PATH = "extra/hotgym/rec-center-hourly.csv” ]] …to use an absolute file path, which avoids the problem. The script then runs fine. I haven’t dug deeply enough yet to see where the path problem is (my Python skills need some dusting), but it is clearly not resolving the relative path correctly. Regards, Dave -- http://about.me/david_wood > > Thanks, > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Sat, Feb 21, 2015 at 5:43 PM, David Wood <[email protected]> wrote: >> Hi all, >> >> I have recently read Jeff’s book and the Numenta white paper, and am very >> interested in getting started with NuPIC. Unfortunately, I am having some >> trouble getting a clean installation. >> >> My environment is a Rackspace cloud VM running: >> - Ubuntu 14.10 (Utopic Unicorn) >> - Python 2.7.8 >> - mysql Ver 14.14 Distrib 5.6.19, for debian-linux-gnu (x86_64) using >> EditLine wrapper >> >> I installed NuPIC as follows: >> [[ >> # apt-get install python-pip >> # apt-get install python-dev >> # pip install numpy >> # pip install >> https://s3-us-west-2.amazonaws.com/artifacts.numenta.org/numenta/nupic/releases/nupic-0.1.3-cp27-none-linux_x86_64.whl >> ]] >> >> …and then attempted to run the “hot gym” predication example: >> [[ >> # cd ~/nupic/examples/opf/clients/hotgym/prediction/one_gym >> # ./swarm.py >> ]] >> >> The output of the swarm run is provided below my signature. >> >> Unfortunately, the numpy and nupic installations as well as the hotgym >> example as seem to have significant numbers of python errors. The errors are >> both trivial and apparently problematic, such as API changes. The swarm run >> shows, for example, a TypeError. >> >> Should I expect this example to “just work” in the 0.13 release, or is my >> environment too new? Would a downgrade of Ubuntu or Python “fix” the >> problem? Does anyone have other suggestions? Thanks in advance! >> >> Regards, >> Dave >> -- >> http://about.me/david_wood >> >> >> The output of the swarm run was: >> [[ >> This script runs a swarm on the input data (rec-center-hourly.csv) and >> creates a model parameters file in the `model_params` directory containing >> the best model found by the swarm. Dumps a bunch of crud to stdout because >> that is just what swarming does at this point. You really don't need to >> pay any attention to it. >> >> ================================================= >> = Swarming on rec-center-hourly data... >> = Medium swarm. Sit back and relax, this could take awhile. >> ================================================= >> Generating experiment files in directory: >> /root/nupic/examples/opf/clients/hotgym/prediction/one_gym/swarm... >> Writing 313 lines... >> Writing 113 lines... >> done. >> None >> Successfully submitted new HyperSearch job, jobID=1002 >> Evaluated 0 models >> HyperSearch finished! >> Worker completion message: None >> >> Results from all experiments: >> ---------------------------------------------------------------- >> Generating experiment files in directory: /tmp/tmpBvtweU... >> Writing 313 lines... >> Writing 113 lines... >> done. >> None >> json.loads(jobInfo.results) raised an exception. Here is some info to help >> with debugging: >> jobInfo: _jobInfoNamedTuple(jobId=1002, client=u'GRP', clientInfo=u'', >> clientKey=u'', cmdLine=u'$HYPERSEARCH', params=u'{"hsVersion": "v2", >> "maxModels": null, "persistentJobGUID": >> "8090e46e-ba32-11e4-ad72-bc764e202244", "useTerminators": false, >> "description": {"includedFields": [{"fieldName": "timestamp", "fieldType": >> "datetime"}, {"maxValue": 53.0, "fieldName": "kw_energy_consumption", >> "fieldType": "float", "minValue": 0.0}], "streamDef": {"info": >> "kw_energy_consumption", "version": 1, "streams": [{"info": "Rec Center", >> "source": "file://rec-center-hourly.csv", "columns": ["*"]}]}, >> "inferenceType": "TemporalMultiStep", "inferenceArgs": {"predictionSteps": >> [1], "predictedField": "kw_energy_consumption"}, "iterationCount": -1, >> "swarmSize": "medium"}}', jobHash='\x80\x90\xe4o\xba2\x11\xe4\xadr\xbcvN >> "D', status=u'notStarted', completionReason=None, completionMsg=None, >> workerCompletionReason=u'success', workerCompletionMsg=None, cancel=0, >> startTime=None, endTime=None, results=None, engJobType=u'hypersearch', >> minimumWorkers=1, maximumWorkers=4, priority=0, engAllocateNewWorkers=1, >> engUntendedDeadWorkers=0, numFailedWorkers=0, lastFailedWorkerErrorMsg=None, >> engCleaningStatus=u'notdone', genBaseDescription=None, genPermutations=None, >> engLastUpdateTime=datetime.datetime(2015, 2, 22, 1, 31, 19), >> engCjmConnId=None, engWorkerState=None, engStatus=None, >> engModelMilestones=None) >> jobInfo.results: None >> EXCEPTION: expected string or buffer >> Traceback (most recent call last): >> File "./swarm.py", line 109, in <module> >> swarm(INPUT_FILE) >> File "./swarm.py", line 101, in swarm >> modelParams = swarmForBestModelParams(SWARM_DESCRIPTION, name) >> File "./swarm.py", line 78, in swarmForBestModelParams >> verbosity=0 >> File >> "/usr/local/lib/python2.7/dist-packages/nupic/swarming/permutations_runner.py", >> line 276, in runWithConfig >> return _runAction(runOptions) >> File >> "/usr/local/lib/python2.7/dist-packages/nupic/swarming/permutations_runner.py", >> line 217, in _runAction >> returnValue = _runHyperSearch(runOptions) >> File >> "/usr/local/lib/python2.7/dist-packages/nupic/swarming/permutations_runner.py", >> line 160, in _runHyperSearch >> metricsKeys=search.getDiscoveredMetricsKeys()) >> File >> "/usr/local/lib/python2.7/dist-packages/nupic/swarming/permutations_runner.py", >> line 825, in generateReport >> results = json.loads(jobInfo.results) >> File >> "/usr/local/lib/python2.7/dist-packages/nupic/support/object_json.py", line >> 163, in loads >> json.loads(s, object_hook=objectDecoderHook, **kwargs)) >> File "/usr/lib/python2.7/json/__init__.py", line 351, in loads >> return cls(encoding=encoding, **kw).decode(s) >> File "/usr/lib/python2.7/json/decoder.py", line 366, in decode >> obj, end = self.raw_decode(s, idx=_w(s, 0).end()) >> TypeError: expected string or buffer >> ]] >> >
