Hello Kentaro: Thanks for your help, and the model_params.py help me great, but I still want to know that how can I configure swarmming description file search_def.json to make a coordinateEncoder. Becouse I think the model generated by the swarming process will be more accurate. So are there some friends who know how should I do?
thanks everyone! ------------------ ???????? ------------------ ??????: "Kentaro Iizuka";<[email protected]>; ????????: 2015??11??17??(??????) ????10:29 ??????: "Weiru Zeng"<[email protected]>; ????: Re: Question about running swarming Hello Weiru, I tried to use your `13.csv` data with CoordinateEncoder. Here is the sample code. https://gist.github.com/iizukak/885b11fc33db566c5e3d It??s not OPF, but I think you will find how to use CoordinateEncoder. BTW, your CSV's first column looks incorrect. Thanks. 2015-11-17 20:16 GMT+09:00 Weiru Zeng <[email protected]>: > thank you for your reply. > > I have some data which contain coordinate and the date is attached by this > mail. I have searched almost all the documents, but can not find any > information about how to edit the search_def.josn file to make the opf use > the CoordianteEncoder to encode the input data. The fields I want to predict > is the coordiante (x,y,z), the predictionSteps is 1. And how to edit the > search_def.json file? > > Weiru Zeng > > > ------------------ ???????? ------------------ > ??????: "Matthew Taylor";<[email protected]>; > ????????: 2015??11??17??(??????) ????6:48 > ??????: "Weiru Zeng"<[email protected]>; > ????: Re: Question about running swarming > > There are many reasons you may be getting a bad prediction. One major > reason could be that the data is not predictable. > > By the way, you can run the exact experiment you're trying with a very > simple Menorah script: > https://gist.github.com/rhyolight/d9342c4f0ada961ee406 > > You just need to "pip install menorah" first. > > When I ran, I got the following from the swarm: > > Field Contributions: > { u'chicago-beach-water-quality Calumet Beach turbidity': > 13.665743305632503, > u'chicago-beach-water-quality Calumet Beach water_temperature': > 10.618651892890124, > u'chicago-beach-water-quality Calumet Beach wave_height': > 4.709141274238225, > u'chicago-beach-water-quality Calumet Beach wave_period': > 16.712834718374882, > u'timestamp_dayOfWeek': 15.050784856879035, > u'timestamp_timeOfDay': -11.04578340758864, > u'timestamp_weekend': 0.0} > > These numbers are rather low, which tells us that wave_period may not > be very predictable. > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Tue, Nov 10, 2015 at 5:39 AM, Weiru Zeng <[email protected]> wrote: >> Hi nupic: >> >> Recent I used the nupic to make prediction, and I attached my data and >> the >> .json file with this email. Run the swarming with my code and data, you >> will find the low constribution of the field, and it makes a bad >> prediction. >> My question is below: >> >> First: Is the bad predicion caused by my .json file? >> Second: The low contribution of all the fields means that the feature in >> the >> data is not enough to make a good prediction. Is that right? >> Last: This is about the .json file. I found that there is a item named >> "aggregation" in some other .json file, the detail is below: >> >> "aggregation": { >> "hours": 1, >> "microseconds": 0, >> "seconds": 0, >> "fields": [ >> [ >> "consumption", >> "sum" >> ], >> [ >> "gym", >> "first" >> ], >> [ >> "timestamp", >> "first" >> ] >> ], >> "weeks": 0, >> "months": 0, >> "minutes": 0, >> "days": 0, >> "milliseconds": 0, >> "years": 0 >> } >> >> I atempted to set it, but fieled. I want to know what's the means of the >> time and the fields?. When should I set the time to 1, and how to set the >> "fields"?. >> >> Thanks in advance! >> >> Weiru Zeng -- Kentaro Iizuka<[email protected]> Github https://github.com/iizukak/ Facebook https://www.facebook.com/kentaroiizuka
