Package org.knime.base.node.meta.xvalidation

The xvalidation package contains all classes for a cross validation flow.

See:
          Description

Class Summary
AggregateOutputNodeDialogPane This dialog lets the user choose the column containing the predicted class values and the column containing the real class values.
AggregateOutputNodeFactory This factory creates all necessary classes for the Cross validation aggregator node.
AggregateOutputNodeModel This models aggregates the result from each of the cross validation loops.
AggregateSettings This class holds the settings for the aggregation node.
XValidateDialog This is the simple dialog for the cross validation node.
XValidatePartitionerFactory This factory creates all necessary classes for the cross validation partioning node.
XValidatePartitionModel This is the cross validation partitioning node model that divides the input table into partitions.
XValidateSettings Simple class for managing the cross validation settings.
 

Package org.knime.base.node.meta.xvalidation Description

The xvalidation package contains all classes for a cross validation flow. The workflow between the XValidatePartitionModel node and the AggregateOutputNodeModel node should consist of at least a learner and its predictor. The output of the predictor should be connected to the aggregator node. The class column set in the aggregator node and the predictor has to be the same.



Copyright, 2003 - 2010. 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.