de.dfki.madm.mlwizard.landmarking
Class LandmarkingParameters

java.lang.Object
  extended by de.dfki.madm.mlwizard.landmarking.LandmarkingParameters

public class LandmarkingParameters
extends java.lang.Object

This class contains parameters needed by the LandmarkingOperator and the AbstractLandmarker.

Author:
Sarah Daniel

Field Summary
static int METHOD_PROPORTION_TRANSFORMATION
           
static int METHOD_RANGE_TRANSFORMATION
           
static int METHOD_Z_TRANSFORMATION
           
static java.lang.String[] NORMALIZATION_METHODS
           
static int NUMBER_OF_PERFORMANCE_CRITERIA
           
static java.lang.String PARAMETER_AVERAGE_NODE_LM
           
static java.lang.String PARAMETER_AVERAGE_PERFORMANCES_ONLY
          The parameter name for "Indicates if only performance vectors should be averaged or all types of averagable result vectors"
static java.lang.String PARAMETER_CROSS_VALIDATION
           
static java.lang.String PARAMETER_DECISION_NODE_LM
           
static java.lang.String PARAMETER_KNN_K_VALUE
           
static java.lang.String PARAMETER_KNN_LM
           
static java.lang.String PARAMETER_LEAVE_ONE_OUT
          The parameter name for "Set the number of validations to the number of examples.
static java.lang.String PARAMETER_LINEAR_DISCRIMINANT_LM
           
static java.lang.String PARAMETER_MAX
          The parameter name for "The maximum value after normalization"
static java.lang.String PARAMETER_MIN
          The parameter name for "The minimum value after normalization"
static java.lang.String PARAMETER_NAIVEBAYES_LM
           
static java.lang.String PARAMETER_NORMALIZATION_METHOD
           
static java.lang.String PARAMETER_NORMALIZE_EXAMPLESET
           
static java.lang.String PARAMETER_NUMBER_OF_VALIDATIONS
          The parameter name for "Number of subsets for the crossvalidation.
static java.lang.String PARAMETER_RANDOMLY_CHOSEN_NODE_LM
           
static java.lang.String PARAMETER_SAMPLING_TYPE
          The parameter name for "Defines the sampling type of the cross validation (linear = consecutive subsets, shuffled = random subsets, stratified = random subsets with class distribution kept constant)"
static java.lang.String PARAMETER_WORST_NODE_LM
           
 
Constructor Summary
LandmarkingParameters()
           
 
Method Summary
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

NUMBER_OF_PERFORMANCE_CRITERIA

public static final int NUMBER_OF_PERFORMANCE_CRITERIA
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PARAMETER_NAIVEBAYES_LM

public static final java.lang.String PARAMETER_NAIVEBAYES_LM
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PARAMETER_KNN_LM

public static final java.lang.String PARAMETER_KNN_LM
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PARAMETER_KNN_K_VALUE

public static final java.lang.String PARAMETER_KNN_K_VALUE
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PARAMETER_DECISION_NODE_LM

public static final java.lang.String PARAMETER_DECISION_NODE_LM
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PARAMETER_AVERAGE_NODE_LM

public static final java.lang.String PARAMETER_AVERAGE_NODE_LM
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PARAMETER_WORST_NODE_LM

public static final java.lang.String PARAMETER_WORST_NODE_LM
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PARAMETER_RANDOMLY_CHOSEN_NODE_LM

public static final java.lang.String PARAMETER_RANDOMLY_CHOSEN_NODE_LM
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PARAMETER_LINEAR_DISCRIMINANT_LM

public static final java.lang.String PARAMETER_LINEAR_DISCRIMINANT_LM
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PARAMETER_CROSS_VALIDATION

public static final java.lang.String PARAMETER_CROSS_VALIDATION
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PARAMETER_NORMALIZE_EXAMPLESET

public static final java.lang.String PARAMETER_NORMALIZE_EXAMPLESET
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NORMALIZATION_METHODS

public static final java.lang.String[] NORMALIZATION_METHODS

METHOD_Z_TRANSFORMATION

public static final int METHOD_Z_TRANSFORMATION
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METHOD_RANGE_TRANSFORMATION

public static final int METHOD_RANGE_TRANSFORMATION
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METHOD_PROPORTION_TRANSFORMATION

public static final int METHOD_PROPORTION_TRANSFORMATION
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PARAMETER_NORMALIZATION_METHOD

public static final java.lang.String PARAMETER_NORMALIZATION_METHOD
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PARAMETER_MIN

public static final java.lang.String PARAMETER_MIN
The parameter name for "The minimum value after normalization"

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PARAMETER_MAX

public static final java.lang.String PARAMETER_MAX
The parameter name for "The maximum value after normalization"

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PARAMETER_NUMBER_OF_VALIDATIONS

public static final java.lang.String PARAMETER_NUMBER_OF_VALIDATIONS
The parameter name for "Number of subsets for the crossvalidation."

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Constant Field Values

PARAMETER_LEAVE_ONE_OUT

public static final java.lang.String PARAMETER_LEAVE_ONE_OUT
The parameter name for "Set the number of validations to the number of examples. If set to true, number_of_validations is ignored"

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Constant Field Values

PARAMETER_SAMPLING_TYPE

public static final java.lang.String PARAMETER_SAMPLING_TYPE
The parameter name for "Defines the sampling type of the cross validation (linear = consecutive subsets, shuffled = random subsets, stratified = random subsets with class distribution kept constant)"

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Constant Field Values

PARAMETER_AVERAGE_PERFORMANCES_ONLY

public static final java.lang.String PARAMETER_AVERAGE_PERFORMANCES_ONLY
The parameter name for "Indicates if only performance vectors should be averaged or all types of averagable result vectors"

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Constant Field Values
Constructor Detail

LandmarkingParameters

public LandmarkingParameters()


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