# Hot Gym 96 step ahead prediction: AssertionError **URL:** \ **Category:** NuPIC\ **Created:** [September 30, 2016, 9:58pm UTC](https://discourse.numenta.org/t/hot-gym-96-step-ahead-prediction-assertionerror/1459 "2016-09-30T21:58:45Z")\ **Posts on this page:** 1\ **Showing post:** 5

**Author:** ![robinschucker](https://avatars.discourse-cdn.com/v4/letter/r/53a042/32.png) [@robinschucker](https://discourse.numenta.org/u/robinschucker)\ **Post date:** [September 30, 2016, 11:17pm UTC](https://discourse.numenta.org/t/hot-gym-96-step-ahead-prediction-assertionerror/1459/5 "2016-09-30T23:17:27Z")

Yes I expect it to take some time! I have already setup a cluster to let it run over the weekend! I am very curious to see how HTM performs for longer steps ahead prediction. As expected, with `"predictionSteps": [96]` the swarm runs smoothly. I am changed the model\_params manually to force a 96-vector output and also increase `n` as suggested [here](https://discourse.numenta.org/t/is-my-data-being-predicted-correctly/735/2): > [@Is my data being predicted correctly?](https://discourse.numenta.org/t/is-my-data-being-predicted-correctly/735/2): > > As you can see in this example n has a value of 22 while w has a value of 21. I’m not sure how much HTM theory you understand, but n should be much larger than 22, generally between 300-400, but definitely not less than 100. If your generated model\_params.py file has such values, I recommend using another encoder type called RandomDistributedScalarEncoder, by simply deleting all of the previous values above and inserting those instead To go back to the original problem, it looks like during swarming it is trying to access the results of a model that is still running, any ideas how to alleviate that? I am trying to reduce the number of rows to swarm over but not sure if that will work… --- _[View the full topic](https://discourse.numenta.org/t/hot-gym-96-step-ahead-prediction-assertionerror/1459)._