Creating the ML job for forecasting

This example dataset goes from January 31st 2017 to March 11th 2017. Despite being from the past, we can contrive a scenario in which we are pretending to be in that time frame and say that today's date is March 1st, 2017. We therefore want to have an ML job analyze the data between January 31st and today, and then use ML to forecast that data ten days into the future.

If your Kibana time zone is set to your local time, the dates in this chapter may look slightly different as the screenshots were taken with a version of Kibana that's been set to the Eastern time zone of the United States.

We can then have the ML job analyze the rest of the data in the index (from March 1st through March 11th) and we can ...

Get Machine Learning with the Elastic Stack now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.