Can you paste the model params you are using? Looking at the chart, my
guess is that it's not being processed as temporal data. Are you using
a timestamp? Seeing your input CSV for the swarm (or at least a part
of it) would be helpful, too.
---------
Matt Taylor
OS Community Flag-Bearer
Numenta


On Tue, May 13, 2014 at 12:13 PM, Daniel Cohen <[email protected]> wrote:
> This is a data set taken from google analytics - it is almost 2 years of web
> traffic data by date hour - that's about 4000 data points.
>
> I ran through the same process I used for the sine wave prediction tutorial
> except I added more prediction steps. The attached .png is a zoom in of the
> plot. Even the 1 step prediction is disappointing and I'd expect better
> after 4000 data points. The 10 step prediction is almost wholly unreliable
> and anything beyond that is useless. Sure the predictions are within the
> right range of points but you couldn't base anything useful off them. They
> don't even seem to have picked up on the hourly modulation throughout a day.
>
> Is there any way to improve the prediction quality without simply using more
> data points?
>
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>

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