Hello NuPIC,
I've been discussing with Matt on gitter a while ago
https://gitter.im/numenta/public/archives/2015/08/19
about size of "iterationCount" parameter. My original problem was that
the swarming get stucked when I used "iterationCount": -1 on huge data
set (249459 lines). Matt said that everything that is over 3000 is
waste. So setting "iterationCount": 3000 solved my problems. But there
are two questions that comes to my mind:
1. What does the "iterationCount" exactly mean? Is it how much rows
(from the beginning of file) will be involved in swarming process or how
many times will swarm iterate over the input until it finds best model?
2. If it means the number of lines that are involved in swarm process
isn't setting a fix number (everything instead of -1 problem)? I mean
what if I have large data which nature might change after 3000th row,
will be swarming able to handle this?
Thank you
- Is iterationCount: 3000 enough for everyone Wakan Tanka
-