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windowing
Used when training a model with time series data. A window is the period of time used for each training case. For example, if we have weekly stock price data that covers fifty weeks, and we set the window to five weeks, then the first training case uses weeks one through five and compares its prediction to week six. The second case uses weeks two through six to predict week seven, and so on.
Contributeurs: Imane Meziani, Isaline Hodecent, wiki