Stationarity in machine learning is a property of a forecasting machine learning model by which the statistical attributes of a variable, such as mean, variance and covariance, are kept constant instead of varying over time.
Stationarity in machine learning is a property of a forecasting machine learning model by which the statistical attributes of a variable, such as mean, variance and covariance, are kept constant instead of varying over time.