|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Objectde.dfki.madm.mlwizard.landmarking.LandmarkingParameters
public class LandmarkingParameters
This class contains parameters needed by the LandmarkingOperator
and
the AbstractLandmarker
.
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 |
---|
public static final int NUMBER_OF_PERFORMANCE_CRITERIA
public static final java.lang.String PARAMETER_NAIVEBAYES_LM
public static final java.lang.String PARAMETER_KNN_LM
public static final java.lang.String PARAMETER_KNN_K_VALUE
public static final java.lang.String PARAMETER_DECISION_NODE_LM
public static final java.lang.String PARAMETER_AVERAGE_NODE_LM
public static final java.lang.String PARAMETER_WORST_NODE_LM
public static final java.lang.String PARAMETER_RANDOMLY_CHOSEN_NODE_LM
public static final java.lang.String PARAMETER_LINEAR_DISCRIMINANT_LM
public static final java.lang.String PARAMETER_CROSS_VALIDATION
public static final java.lang.String PARAMETER_NORMALIZE_EXAMPLESET
public static final java.lang.String[] NORMALIZATION_METHODS
public static final int METHOD_Z_TRANSFORMATION
public static final int METHOD_RANGE_TRANSFORMATION
public static final int METHOD_PROPORTION_TRANSFORMATION
public static final java.lang.String PARAMETER_NORMALIZATION_METHOD
public static final java.lang.String PARAMETER_MIN
public static final java.lang.String PARAMETER_MAX
public static final java.lang.String PARAMETER_NUMBER_OF_VALIDATIONS
public static final java.lang.String PARAMETER_LEAVE_ONE_OUT
public static final java.lang.String PARAMETER_SAMPLING_TYPE
public static final java.lang.String PARAMETER_AVERAGE_PERFORMANCES_ONLY
Constructor Detail |
---|
public LandmarkingParameters()
|
|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |