So are you guys making any progress?

---------
Matt Taylor
OS Community Flag-Bearer
Numenta


On Tue, Oct 22, 2013 at 8:23 PM, Chetan Surpur <[email protected]> wrote:

> Kaggle team,
>
> Hope everyone's okay with communicating general stuff here, as per request.
>
> I was thinking that we could start simply, by just feeding in the stream
> of solar energy readings to the CLA sequentially. This will allow us to see
> how well it does at predicting solar energy from just the temporal
> sequence, and the time of day, day of week, etc.
>
> In parallel, someone else can learn to extract what we need from the GEFS
> weather data, correlating the weather variables with each solar energy
> reading time. We can build a CSV file of all the variables together, and
> run a swarm.
>
> How does this approach sound?
>
> I can volunteer to set up the project and start feeding the solar energy
> with temporal information to the CLA. Whoever wants to help is welcome to.
> Anyone up for massaging the GEFS data as described above?
>
> Thanks,
> Chetan
>
> P.S. We still need a team name!
>
>
> On Mon, Oct 21, 2013 at 9:31 PM, Tim McNamara <[email protected]
> > wrote:
>
>> +1
>>
>> Very interested in observing this project
>> On 22/10/2013 12:08 AM, "Matthew Taylor" <[email protected]> wrote:
>>
>>> Pedro et al,
>>>
>>> Unless you're actually going to be dealing with proprietary
>>> information, I encourage you to have your Kaggle discussions here on
>>> the mailing list. I'm sure there are others out there interested in
>>> what you're doing, but unable to take part (like me).
>>>
>>> Feel free to start a new thread, or use this one, but please use this
>>> list if you can. No one has complained about too many emails... yet
>>> ;).
>>>
>>> ---------
>>> Matt Taylor
>>> OS Community Flag-Bearer
>>> Numenta
>>>
>>>
>>> On Fri, Oct 18, 2013 at 11:39 AM, Pedro Tabacof <[email protected]>
>>> wrote:
>>> > Hello,
>>> >
>>> > Thank you all for the interest. I think now it's time to create a
>>> private
>>> > thread for the competition. The Solar Energy competition was the most
>>> voted
>>> > one so it can be our first Kaggle attempt.
>>> >
>>> > If anyone else is also interested in joining the competition, just
>>> send me a
>>> > message.
>>> >
>>> > Pedro.
>>> >
>>> >
>>> > On Fri, Oct 18, 2013 at 3:13 PM, Doug King <[email protected]> wrote:
>>> >>
>>> >> I'm interested in joining the team. I looked at the Kaggle contests
>>> and I
>>> >> agree that the best choice would be Solar Energy Prediction, but I
>>> wouldn't
>>> >> discount the Phone accelerometer contest. I think its a good fit for
>>> the CLA
>>> >> and and interesting application. The forum posts for that contest
>>> seem to
>>> >> indicate the sponsors are willing to judge a 'clean' (no leakage)
>>> version of
>>> >> the contest.
>>> >>
>>> >>
>>> >> On Thu, Oct 17, 2013 at 10:45 AM, Jay Gokhale <[email protected]>
>>> wrote:
>>> >>>
>>> >>> I'd love to use CLA's on a kaggle project!
>>> >>>
>>> >>> If Chetan's description is correct, it seems to me that the Solar
>>> Energy
>>> >>> Prediction contest would be the most straight forward one to work on.
>>> >>>
>>> >>> Jay Gokhale
>>> >>>
>>> >>>
>>> >>> On Wed, Oct 16, 2013 at 9:07 PM, Matthew Taylor <[email protected]>
>>> wrote:
>>> >>>>
>>> >>>> These also sound like good hackathon projects!
>>> >>>>
>>> >>>> Matt
>>> >>>>
>>> >>>> Sent from my MegaPhone
>>> >>>>
>>> >>>> On Oct 16, 2013, at 8:03 PM, Chetan Surpur <[email protected]>
>>> wrote:
>>> >>>>
>>> >>>> I'm interested in participating!
>>> >>>>
>>> >>>> I haven't decided on one yet, but I wanted to point out that the CLA
>>> >>>> looks ideally suited for the AMS 2013-2014 Solar Energy Prediction
>>> contest.
>>> >>>> From what I can tell, it's about predicting the daily energy output
>>> of solar
>>> >>>> farms from 12, 15, 18, 21, 24-hourly training data. There's 29 days
>>> to go.
>>> >>>>
>>> >>>>
>>> >>>> On Wed, Oct 16, 2013 at 7:31 PM, Pedro Tabacof <[email protected]>
>>> >>>> wrote:
>>> >>>>>
>>> >>>>> Hello,
>>> >>>>>
>>> >>>>> After the warm reception of the Kaggle competition idea, I decided
>>> to
>>> >>>>> create the thread asap. For those who are not aware, Kaggle is a
>>> data mining
>>> >>>>> competition website. It has been hyped on the machine learning
>>> media and has
>>> >>>>> some great people participating in it. It rewards with different
>>> prizes, but
>>> >>>>> my focus is not earn money, but rather to see how good NuPIC would
>>> fare
>>> >>>>> against the state of the art. I found those following competitions
>>> to be a
>>> >>>>> viable start:
>>> >>>>>
>>> >>>>> 1) Accelerometer Biometric Competition
>>> >>>>> From real acceleration data you have to guess from which cell phone
>>> >>>>> came the test samples.
>>> >>>>> 36 days to go
>>> >>>>> Pros:
>>> >>>>> -Multivariable, temporal data seems ideal for the CLA
>>> >>>>> Cons:
>>> >>>>> -The best competitors are using data leaks (meta-information), so
>>> the
>>> >>>>> chance of winning fairly is zero (though they will give a
>>> consolation prize
>>> >>>>> to the best "honest" entry)
>>> >>>>> Questions:
>>> >>>>> -How fast would NuPIC go through a 1GB CSV file?
>>> >>>>> -The test data is not open-ended, that is, you have to say whether
>>> a
>>> >>>>> recording belongs to a specific cell phone or not, with 50% chance
>>> of being
>>> >>>>> right. Would NuPIC do well in this case?
>>> >>>>>
>>> >>>>> 2) Multi-Label Bird Species Classification
>>> >>>>> Try to guess the bird species present on some audio recordings
>>> >>>>> 38 days to go
>>> >>>>> Pros:
>>> >>>>> -Temporal data
>>> >>>>> Cons:
>>> >>>>> -Multiple labels, so I think we would need 87 different models,
>>> which
>>> >>>>> is kinda impractical
>>> >>>>> Question:
>>> >>>>> -Is there a better way to do multi-label classification with NuPIC?
>>> >>>>>
>>> >>>>> 3) Conway's Reverse Game of Life
>>> >>>>> Reverse the game of life for 1 to 5 steps
>>> >>>>> 4 months to go
>>> >>>>> Pros:
>>> >>>>> -Natural input sparseness (have to check on it)
>>> >>>>> -Temporal data
>>> >>>>> -Multistep classification
>>> >>>>> -We can generate our own training data if necessary
>>> >>>>> Cons:
>>> >>>>> -Maybe there are very straightforward ways to solve this (rule
>>> based,
>>> >>>>> brute force, etc)
>>> >>>>> -Too much time before the competition ends
>>> >>>>> Questions:
>>> >>>>> -How sparse does the input need to be for the CLA to work well?
>>> >>>>> -Is it possible to use a 2D arrangement on the cells connection
>>> matrix?
>>> >>>>>
>>> >>>>> There is also the AMS 2013-2014 Solar Energy Prediction contest,
>>> but I
>>> >>>>> didn't have time to go over it. The other competitions don't seem
>>> to be
>>> >>>>> suited for NuPIC.
>>> >>>>>
>>> >>>>> Who here is interested on participating and what competition do you
>>> >>>>> think to be the most promising one?
>>> >>>>>
>>> >>>>> Pedro.
>>> >>>>> --
>>> >>>>> Pedro Tabacof,
>>> >>>>> Unicamp - Eng. de Computação 08.
>>> >>>>>
>>> >>>>> _______________________________________________
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>>> >>>>>
>>> >>>>
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>>> >>
>>> >>
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>>> >>
>>> >
>>> >
>>> >
>>> > --
>>> > Pedro Tabacof,
>>> > Unicamp - Eng. de Computação 08.
>>> >
>>> > _______________________________________________
>>> > nupic mailing list
>>> > [email protected]
>>> > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
>>> >
>>>
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