Hi everyone,

I have based on gym energy consumption example and try to make a future prediction.

I want to get 10 steps ahead from the last time value.

For example if my data has 1000 rows, and it steps has 1 minutes, i want to get 1010 which means:

1001 -> 1 minutes ahead

1002 -> 2 minutes ahead

…

etc.

First I have changed model params like below:

( It was mentioned in another topic. )

‘clParams’: { ‘alpha’: 0.019888046680498178,

‘regionName’: ‘SDRClassifierRegion’,

‘steps’: ‘1,2,3,4,5,6,7,8,9,10’,

‘verbosity’: 0},

But i did not get prediction, it is the same with result.inferences[“multiStepBestPredictions”][1] and result.inferences[“multiStepBestPredictions”][10]

I also could not manage to write csv file, all predicitons:

output.write([timestamp] , [consumption] , [p1] , [p2] , [p3])

Could you help me about this?

- How can I make future prediciton for example 10 steps from the last row
- How can I write to csv files all predicitons?