org.knime.base.node.mine.bfn.radial
Class RadialBasisFunctionLearnerNodeModel

java.lang.Object
  extended by org.knime.core.node.NodeModel
      extended by org.knime.base.node.mine.bfn.BasisFunctionLearnerNodeModel
          extended by org.knime.base.node.mine.bfn.radial.RadialBasisFunctionLearnerNodeModel

public class RadialBasisFunctionLearnerNodeModel
extends BasisFunctionLearnerNodeModel

The NodeModel for RadialBasisFunctionLearnerRows.

Author:
Thomas Gabriel, University of Konstanz

Field Summary
(package private) static double THETAMINUS
          Default theta minus: 0.2.
(package private) static double THETAPLUS
          Default theta plus: 0.4.
 
Fields inherited from class org.knime.base.node.mine.bfn.BasisFunctionLearnerNodeModel
DISTANCE, DISTANCES, HILITE_MAPPING_FILE_NAME, MAX_CLASS_COVERAGE, MAX_EPOCHS, MODEL_INFO, MODEL_INFO_FILE_NAME, SHRINK_AFTER_COMMIT, TARGET_COLUMNS
 
Constructor Summary
RadialBasisFunctionLearnerNodeModel()
          Inits a new RadialBasisFunctionFactory with one in- and one output.
 
Method Summary
 BasisFunctionPortObject createPortObject(BasisFunctionModelContent content)
          Creates a new basisfunction port object given the model content.
 RadialBasisFunctionFactory getFactory(DataTableSpec spec)
          Create factory to generate BasisFunctions.
 DataType getModelType()
          
 double getThetaMinus()
           
 double getThetaPlus()
           
 void loadValidatedSettingsFrom(NodeSettingsRO settings)
          Sets new settings from the passed object in the model.
 void saveSettingsTo(NodeSettingsWO settings)
          Adds to the given NodeSettings the model specific settings.
 void validateSettings(NodeSettingsRO settings)
          Validates the settings in the passed NodeSettings object.
 
Methods inherited from class org.knime.base.node.mine.bfn.BasisFunctionLearnerNodeModel
configure, execute, getDistance, getMaxNrEpochs, getMissingFct, getModelInfo, getOutHiLiteHandler, getTargetColumns, isMaxClassCoverage, isShrinkAfterCommit, loadInternals, reset, saveInternals, setInHiLiteHandler
 
Methods inherited from class org.knime.core.node.NodeModel
addWarningListener, configure, continueLoop, execute, executeModel, getInHiLiteHandler, getLoopEndNode, getLoopStartNode, getNrInPorts, getNrOutPorts, getWarningMessage, notifyViews, notifyWarningListeners, peekFlowVariableDouble, peekFlowVariableInt, peekFlowVariableString, peekScopeVariableDouble, peekScopeVariableInt, peekScopeVariableString, pushFlowVariableDouble, pushFlowVariableInt, pushFlowVariableString, pushScopeVariableDouble, pushScopeVariableInt, pushScopeVariableString, removeWarningListener, setWarningMessage, stateChanged
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

THETAMINUS

static final double THETAMINUS
Default theta minus: 0.2.

See Also:
Constant Field Values

THETAPLUS

static final double THETAPLUS
Default theta plus: 0.4.

See Also:
Constant Field Values
Constructor Detail

RadialBasisFunctionLearnerNodeModel

public RadialBasisFunctionLearnerNodeModel()
Inits a new RadialBasisFunctionFactory with one in- and one output.

Method Detail

getFactory

public RadialBasisFunctionFactory getFactory(DataTableSpec spec)
Create factory to generate BasisFunctions.

Specified by:
getFactory in class BasisFunctionLearnerNodeModel
Parameters:
spec - the cleaned data for training
Returns:
factory to create special basis function rules

loadValidatedSettingsFrom

public void loadValidatedSettingsFrom(NodeSettingsRO settings)
                               throws InvalidSettingsException
Sets new settings from the passed object in the model. You can safely assume that the object passed has been successfully validated by the #validateSettings(NodeSettings) method. The model must set its internal configuration according to the settings object passed.

Overrides:
loadValidatedSettingsFrom in class BasisFunctionLearnerNodeModel
Parameters:
settings - The settings to read.
Throws:
InvalidSettingsException - If a property is not available.
See Also:
NodeModel.saveSettingsTo(NodeSettingsWO), NodeModel.validateSettings(NodeSettingsRO)

saveSettingsTo

public void saveSettingsTo(NodeSettingsWO settings)
Adds to the given NodeSettings the model specific settings. The settings don't need to be complete or consistent. If, right after startup, no valid settings are available this method can write either nothing or invalid settings.

Method is called by the Node if the current settings need to be saved or transfered to the node's dialog.

Overrides:
saveSettingsTo in class BasisFunctionLearnerNodeModel
Parameters:
settings - The object to write settings into.
See Also:
NodeModel.loadValidatedSettingsFrom(NodeSettingsRO), NodeModel.validateSettings(NodeSettingsRO)

validateSettings

public void validateSettings(NodeSettingsRO settings)
                      throws InvalidSettingsException
Validates the settings in the passed NodeSettings object. The specified settings should be checked for completeness and consistency. It must be possible to load a settings object validated here without any exception in the #loadValidatedSettings(NodeSettings) method. The method must not change the current settings in the model - it is supposed to just check them. If some settings are missing, invalid, inconsistent, or just not right throw an exception with a message useful to the user.

Overrides:
validateSettings in class BasisFunctionLearnerNodeModel
Parameters:
settings - The settings to validate.
Throws:
InvalidSettingsException - If the validation of the settings failed.
See Also:
NodeModel.saveSettingsTo(NodeSettingsWO), NodeModel.loadValidatedSettingsFrom(NodeSettingsRO)

getModelType

public final DataType getModelType()

Specified by:
getModelType in class BasisFunctionLearnerNodeModel
Returns:
the type of the learned model cells

getThetaMinus

public double getThetaMinus()
Returns:
theta minus

getThetaPlus

public double getThetaPlus()
Returns:
theta plus

createPortObject

public BasisFunctionPortObject createPortObject(BasisFunctionModelContent content)
Creates a new basisfunction port object given the model content.

Specified by:
createPortObject in class BasisFunctionLearnerNodeModel
Parameters:
content - basisfunction rules and spec
Returns:
a new basisfunction port object


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University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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