net.simplace.client.simulation.lap.transformer.LinearRegressionTransformer

taking data with n depth depended layers transformer creates m layers with the same information


public class LinearRegressionTransformer extends
net.simplace.simulation.io.resources.FWSimResourceTransformer {
// Public Constructors
public LinearRegressionTransformer(FWSimSession aSession, Element
aResourceElement, Integer aOrderNumber);
public LinearRegressionTransformer(FWSimSession aSession, Integer
aOrderNumber);


// Public Instance Methods
public HashMap createVariables(); // Defines
net.simplace.simulation.io.FWSimIOAdapter


public FWSimResourceCache getData(FWSimVarMap aVarMap)
throws MissingSimResourceException; // Defines
net.simplace.simulation.io.resources.FWSimInputAdapter


standard method from outside
public FWSimResourceCache getData(FWSimVarMap aVarMap, FWSimResourceCache
aResourceCache) throws MissingSimResourceException;

used by test cases
returns delivered new data from transformer
public void fillVarMap(FWSimVarMap aVarMap);
// Defines
net.simplace.simulation.io.resources.FWSimResourceTransformer


public FWSimResourceCache calculateLinearRegression(FWSimVariable aXName,
FWSimVariable aYName, String aProjectID, FWSimResourceCache aCache)
throws MissingSimResourceException;

Calculates the linear regression from two vectors X and Y by the least square approach.
returns the new created {@link FWSimResourceCache}
public Element toXML(); // Defines
net.simplace.simulation.io.resources.FWSimResourceTransformer


public void updateFields(FWObservable aObservable);
// Defines
net.simplace.simulation.io.resources.FWSimResourceTransformer




}



Hierarchy: java.lang.Object - net.simplace.simulation.io.FWSimIOAdapter (net.simplace.simulation.util.FWSimFieldContainer) - net.simplace.simulation.io.resources.FWSimInputAdapter - net.simplace.simulation.io.resources.FWSimResourceTransformer - LinearRegressionTransformer