org.knime.base.node.mine.bfn.fuzzy
Class FuzzyBasisFunctionPredictorNodeModel
java.lang.Object
org.knime.core.node.NodeModel
org.knime.base.node.mine.bfn.BasisFunctionPredictorNodeModel
org.knime.base.node.mine.bfn.fuzzy.FuzzyBasisFunctionPredictorNodeModel
public class FuzzyBasisFunctionPredictorNodeModel
- extends BasisFunctionPredictorNodeModel
The fuzzy basis function predictor model performing a prediction on the data
from the first input and the fuzzy basisfunction model from the second.
- Author:
- Thomas Gabriel, University of Konstanz
Methods inherited from class org.knime.base.node.mine.bfn.BasisFunctionPredictorNodeModel |
appendClassProbabilities, configure, createRearranger, createSpec, execute, getApplyColumn, getDontKnowClassDegree, loadInternals, loadValidatedSettingsFrom, reset, saveInternals, saveSettingsTo, validateSettings |
Methods inherited from class org.knime.core.node.NodeModel |
addWarningListener, configure, continueLoop, execute, executeModel, getInHiLiteHandler, getLoopEndNode, getLoopStartNode, getNrInPorts, getNrOutPorts, getOutHiLiteHandler, getWarningMessage, notifyViews, notifyWarningListeners, peekFlowVariableDouble, peekFlowVariableInt, peekFlowVariableString, peekScopeVariableDouble, peekScopeVariableInt, peekScopeVariableString, pushFlowVariableDouble, pushFlowVariableInt, pushFlowVariableString, pushScopeVariableDouble, pushScopeVariableInt, pushScopeVariableString, removeWarningListener, setInHiLiteHandler, setWarningMessage, stateChanged |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
FuzzyBasisFunctionPredictorNodeModel
public FuzzyBasisFunctionPredictorNodeModel()
normalizeClassification
public boolean normalizeClassification()
-
- Specified by:
normalizeClassification
in class BasisFunctionPredictorNodeModel
- Returns:
true
if normalization is required for output
Copyright, 2003 - 2010. All rights reserved.
University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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