Comparator
that only compares the keys of Map.Entry
s.KFoldCrossValidation
from an array of
AbstractClassifier
s and a two-dimensional array of TrainableStatisticalModel
s, which are combined to additional classifiers.KFoldCrossValidation
from a set of
AbstractClassifier
s.KFoldCrossValidation
from a set of TrainableStatisticalModel
s.AbstractClassifier
s and those constructed using the given
TrainableStatisticalModel
s by a KFoldCrossValidation
.ClassifierAssessmentAssessParameterSet
that
must be used to call method assess( ...
- KFoldCrossValidationAssessParameterSet() - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet
-
Constructs a new
KFoldCrossValidationAssessParameterSet
with empty parameter
values.
- KFoldCrossValidationAssessParameterSet(StringBuffer) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet
-
The standard constructor for the interface
Storable
.
- KFoldCrossValidationAssessParameterSet(DataSet.PartitionMethod, int, boolean, int) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet
-
Constructs a new
KFoldCrossValidationAssessParameterSet
with given parameter
values.
- KMereStatistic - Class in de.jstacs.motifDiscovery
-
This class enables the user to get some statistics of a
DataSet
in an easy way.
- KMereStatistic(DataSet, int) - Constructor for class de.jstacs.motifDiscovery.KMereStatistic
-
This constructor creates an internal statistic counting all
k
-mers in the data
.
- kruskal(double[][]) - Static method in class de.jstacs.algorithms.graphs.MST
-
Does Kruskals algorithm and finds the maximal spanning
tree (MST).
A B C D E F G H I J K L M N O P Q R S T U V W X Z