Often, people ask how they can get ML to ignore that a certain time period has occurred. Perhaps it was an expected maintenance window, or perhaps something was broken within the data ingest pipeline and data was lost for a few moments. There are a few ways that you can get ML to ignore time periods and, for distinction, we'll separate them into two groups:

• A known, upcoming window of time 
• An unexpected window of time that is discovered after the fact

To illustrate things, we'll use a reference job and dataset that has an anomaly on the date of February 9^th: