Modifier and Type | Class | Description |
---|---|---|
class |
ConfirmatoryMonotonicUnionContainer |
Class used to create and store all upward and downward confirmatory monotonic unions which can be defined for a memory container
|
class |
MonotonicUnionContainer |
Class used to create and store all upward and downward monotonic unions which can be defined for a memory container
|
class |
PairDecisionMonotonicUnionContainer |
Class used to create and store all upward and downward standard unions which can be defined for a memory container
|
class |
StandardJmafUnionContainer |
Implementation of
StandardUnionContainer used by foremka
project. |
class |
StandardUnionContainer |
Class used to create and store all upward and downward standard unions which can be defined for a memory container
|
Modifier and Type | Method | Description |
---|---|---|
abstract double |
ConsistencyMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a data set for a given set of unions of decision classes.
|
abstract double |
ConsistencyMeasure.getConsistency(UnionContainer unionContainer,
HVDMetric hvdm,
int exampleIndex) |
Gets consistency of an example in a data set for a given HVDM neighborhood.
|
double |
EpsilonMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
EpsilonMeasure.getConsistency(UnionContainer unionContainer,
HVDMetric hvdm,
int exampleIndex) |
Gets consistency of an example in a data set for a given HVDM neighborhood.
|
double |
EpsilonPrimMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
EpsilonPrimMeasure.getConsistency(UnionContainer unionContainer,
HVDMetric hvdm,
int exampleIndex) |
Gets consistency of an example in a data set for a given HVDM neighborhood.
|
double |
Exp2EpsilonMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
Exp2RoughMembershipMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
Exp3EpsilonMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
Exp3RoughMembershipMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
ExpNEpsilonMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
ExpNRoughMembershipMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a dataset for a given set of unions of decision classes.
|
double |
RoughMembershipMeasure.getConsistency(UnionContainer unionContainer,
int exampleIndex) |
Gets consistency of an example in a data set for a given set of unions of decision classes.
|
double |
RoughMembershipMeasure.getConsistency(UnionContainer unionContainer,
HVDMetric hvdm,
int exampleIndex) |
Gets consistency of an example in a data set for a given HVDM neighborhood.
|
Modifier and Type | Method | Description |
---|---|---|
static UnionContainer |
UnionContainerMerger.mergeUnions(UnionContainer[] unionContainers) |
Merges given union containers into one union container
|
Modifier and Type | Method | Description |
---|---|---|
static UnionContainer |
UnionContainerMerger.mergeUnions(UnionContainer[] unionContainers) |
Merges given union containers into one union container
|
Modifier and Type | Method | Description |
---|---|---|
static UnionContainer |
Cadabra.createTableBFullWithApproximationsETC(MemoryContainer informationTable,
PairSimilarity[] similarity,
int[] refObject) |
|
UnionContainer |
Cadabra.getSimilarityTable() |
Constructor | Description |
---|---|
DRSAClassificationMethod(UnionContainer container) |
|
DRSAClassificationMethod(UnionContainer container,
double consistencyLevel) |
|
DRSAClassificationMethod(UnionContainer container,
double consistencyLevel,
Attribute decisionAttribute) |
|
DRSAClassificationMethod(UnionContainer container,
Attribute decisionAttribute) |
Modifier and Type | Field | Description |
---|---|---|
UnionContainer |
RankerResults.unionContainer |
Union container for the PCT created using the preference information
|
Modifier and Type | Method | Description |
---|---|---|
UnionContainer |
PreferenceGraphGeneratorVirtualAllRules.getUnionContainer() |
Gets union container created for learning PCT
|
UnionContainer |
PreferenceStructureVirtualAllRulesDRSA.getUnionContainer() |
Deprecated.
Gets union container created for learning PCT
|
Constructor | Description |
---|---|
PreferenceGraphGeneratorVirtualAllRules(MemoryContainer informationTable,
EvaluationDifference2PreferenceIntensityDegree evaluationDifference2PreferenceIntensityDegree,
UnionContainer unionContainer,
int consideredRelations,
boolean calculateFuzzySatisfactionDegrees,
int objectConsistencyMeasure,
java.util.HashMap<Field,java.lang.Double> objectConsistencyMeasureUpwardThresholds,
java.util.HashMap<Field,java.lang.Double> objectConsistencyMeasureDownwardThresholds,
int negativeExamplesTreatment) |
Constructor for
PreferenceGraphGeneratorVirtualAllRules class,
which sets this generator to work in VC-DRSA mode with certain rules only,
using one of monotonic object consistency measures $\epsilon$, $\epsilon*$ or $\epsilon'$. |
PreferenceGraphGeneratorVirtualAllRules(MemoryContainer informationTable,
EvaluationDifference2PreferenceIntensityDegree evaluationDifference2PreferenceIntensityDegree,
UnionContainer unionContainer,
int typeOfRules,
int consideredRelations,
boolean calculateFuzzySatisfactionDegrees,
int ruleConsistencyMeasure) |
Constructor for
PreferenceGraphGeneratorVirtualAllRules class,
which sets this generator to work in DRSA mode. |
PreferenceStructureVirtualAllRulesDRSA(MemoryContainer informationTable,
EvaluationDifference2PreferenceIntensityDegree evaluationDifference2PreferenceIntensityDegree,
UnionContainer unionContainer) |
Deprecated.
Constructor for
PreferenceStructureVirtualAllRulesDRSA class. |