org.knime.base.node.mine.regression
Class PMMLRegressionTranslator.RegressionTable

java.lang.Object
  extended by org.knime.base.node.mine.regression.PMMLRegressionTranslator.RegressionTable
Enclosing class:
PMMLRegressionTranslator

public static final class PMMLRegressionTranslator.RegressionTable
extends Object

This table wraps a polynomial regression formula for use inside a PMML model.

Author:
Bernd Wiswedel, University of Konstanz

Constructor Summary
PMMLRegressionTranslator.RegressionTable(double intercept, PMMLRegressionTranslator.NumericPredictor[] variables)
          Creates a new regression table.
 
Method Summary
 double getIntercept()
           
 List<PMMLRegressionTranslator.NumericPredictor> getVariables()
           
 String toString()
          
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

PMMLRegressionTranslator.RegressionTable

public PMMLRegressionTranslator.RegressionTable(double intercept,
                                                PMMLRegressionTranslator.NumericPredictor[] variables)
Creates a new regression table.

Parameters:
intercept - the constant intercept of the regression formula
variables - the regression variables
Method Detail

getIntercept

public double getIntercept()
Returns:
the intercept

getVariables

public List<PMMLRegressionTranslator.NumericPredictor> getVariables()
Returns:
the variables

toString

public String toString()

Overrides:
toString in class Object


Copyright, 2003 - 2012. All rights reserved.
University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
You may not modify, publish, transmit, transfer or sell, reproduce, create derivative works from, distribute, perform, display, or in any way exploit any of the content, in whole or in part, except as otherwise expressly permitted in writing by the copyright owner or as specified in the license file distributed with this product.