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A “metric”, according to FojiSoft, refers to the piece of data that is tracked at each increment of time.
Examples of metrics include number of orders per product, number of application logins per day, or machine activities per hour
A “metric series”, according to FojiSoft, refers to the unique set of all label attributes associated with a single metric.
For example, given a metric named "order_count" with a product label for "product 1" and "product 2", this would be 2 metric series.
A "forecast training session" refers to any period of time a machine learning model needs to be trained or re-trained.
Meaning: Execute multiple algorithms simultaneously to clean and train your data, determine which algorithms will give the best performance, calculate accuracy metrics, create severity impact scores, monitor Forecast performance, and generate forecasts.
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