topic Re: How does the sliding window method work? in All Apps and Add-ons

How does the sliding window method work?

rosho — Wed, 19 Jun 2019 20:25:48 GMT

I am not sure how the "Sliding window" method work.

Let's assume I have a dataset of number of logins by hour.

a) A window of 24hours to predict the next 24h?

b) A window of 24h to predict the next 1h?

Thank you

grana_splunk — Wed, 19 Jun 2019 20:46:00 GMT

Can you add more detail to your question? is it about forecasting or prediction?

rosho — Wed, 19 Jun 2019 21:02:44 GMT

forecasting. I want to forecast the number of logins.
But I have divided my dataset in TRAIN and TEST. So it will be prediction for the TEST.

grana_splunk — Wed, 19 Jun 2019 21:12:11 GMT

I would recommend you to check our new blog on MLTK 4.3 which has a new Smart assistant and an example on maximum number of logins. https://www.splunk.com/blog/2019/06/03/what-s-new-in-the-splunk-machine-learning-toolkit-4-3.html

rosho — Thu, 20 Jun 2019 13:26:42 GMT

The problem is that when I update Splunk MLTK, the metrics (ex, RMSE in the Forecasting showcase) no longer appear.

grana_splunk — Thu, 20 Jun 2019 17:48:06 GMT

Can you share your MLTK version? Also, did you checked Experiment History option. It saves your old execution results

rosho — Thu, 20 Jun 2019 20:50:20 GMT

4.2.0 shows the metrics

Then I upgraded to the latest one and now I do not see the metrics.

grana_splunk — Thu, 20 Jun 2019 21:00:22 GMT

Use the Experiment not showcase.

Click on Experiments--> Click on Forecasting Assistant and then your history will be saved.

Showcase is just to show and guide user and its for example purpose. Experiments will retain your previous history.