===================================================== Reconstructing Improper Values with Linear Regression ===================================================== :doc:`/SingleStepClassifiers/NonCausalStep/index` This step first estimates the parameters of the linear model using the data. Then, the linear model with known parameters can reconstruct improper values at corresponding times. .. rubric:: Input Parameters 1. Input data including improper values 2. Definition of improper values ('nan', 'inf', or 'null', etc.) .. rubric:: Output Parameters 1. Output data excluding improper values .. rubric:: Workflow .. image:: workflow.svg .. rubric:: Algorithm :doc:`/Algorithms/LinearRegression/index` .. rubric:: References - J.\ Han, M. Kamber and J. Pei, Data Mining - Concepts and Techniques, 3rd ed., Amsterdam: Morgan Kaufmann Publishers, 2012.