public class StatisticalTestUtils
extends java.lang.Object
Constructor and Description |
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StatisticalTestUtils() |
Modifier and Type | Method and Description |
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static org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.log.StochasticLanguageLog |
applySample(org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.log.StochasticLanguageLog language,
double[] sample) |
static java.util.List<org.processmining.plugins.InductiveMiner.Quadruple<java.lang.Double,java.lang.Boolean,java.lang.String,java.lang.String>> |
benjaminiHochberg(java.util.List<org.processmining.plugins.InductiveMiner.Triple<java.lang.Double,java.lang.String,java.lang.String>> values,
double alpha) |
static java.util.List<org.deckfour.xes.model.XTrace> |
filterTracesCategorical(org.processmining.plugins.inductiveminer2.attributes.Attribute attribute,
org.deckfour.xes.model.XLog log,
boolean debug) |
static double[] |
getMassKeyNormal(org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.log.StochasticLanguageLog language) |
static int[] |
getSample(java.util.List<org.deckfour.xes.model.XTrace> traces,
int sampleSize,
java.util.Random random) |
static double |
getSimilarity(org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.StochasticLanguage<?> languageA,
org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.StochasticLanguage<?> languageB,
org.processmining.earthmoversstochasticconformancechecking.distancematrix.DistanceMatrix<?,?> distanceMatrix,
org.processmining.earthmoversstochasticconformancechecking.parameters.EMSCParameters parameters,
org.processmining.framework.plugin.ProMCanceller canceller) |
static java.lang.String[] |
getTraceString(org.deckfour.xes.model.XTrace xTrace,
org.deckfour.xes.classification.XEventClassifier classifier) |
static double[] |
sample(AliasMethod aliasMethod,
int sampleSize) |
public static java.util.List<org.deckfour.xes.model.XTrace> filterTracesCategorical(org.processmining.plugins.inductiveminer2.attributes.Attribute attribute, org.deckfour.xes.model.XLog log, boolean debug)
attribute
- log
- debug
- public static int[] getSample(java.util.List<org.deckfour.xes.model.XTrace> traces, int sampleSize, java.util.Random random)
traces
- sampleSize
- random
- public static java.lang.String[] getTraceString(org.deckfour.xes.model.XTrace xTrace, org.deckfour.xes.classification.XEventClassifier classifier)
public static double[] getMassKeyNormal(org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.log.StochasticLanguageLog language)
public static double getSimilarity(org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.StochasticLanguage<?> languageA, org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.StochasticLanguage<?> languageB, org.processmining.earthmoversstochasticconformancechecking.distancematrix.DistanceMatrix<?,?> distanceMatrix, org.processmining.earthmoversstochasticconformancechecking.parameters.EMSCParameters parameters, org.processmining.framework.plugin.ProMCanceller canceller)
languageA
- languageB
- distanceMatrix
- parameters
- canceller
- public static org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.log.StochasticLanguageLog applySample(org.processmining.earthmoversstochasticconformancechecking.stochasticlanguage.log.StochasticLanguageLog language, double[] sample)
public static double[] sample(AliasMethod aliasMethod, int sampleSize)
public static java.util.List<org.processmining.plugins.InductiveMiner.Quadruple<java.lang.Double,java.lang.Boolean,java.lang.String,java.lang.String>> benjaminiHochberg(java.util.List<org.processmining.plugins.InductiveMiner.Triple<java.lang.Double,java.lang.String,java.lang.String>> values, double alpha)
X
- X
- values
-