Hi
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
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
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
The problem is that when I update Splunk MLTK, the metrics (ex, RMSE in the Forecasting showcase) no longer appear.
Can you share your MLTK version? Also, did you checked Experiment History option. It saves your old execution results
4.2.0 shows the metrics
Then I upgraded to the latest one and now I do not see the metrics.
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.
Can you add more detail to your question? is it about forecasting or prediction?
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.