Returns an enumeration describing the available options
-N
Don't normalize the input data.
listOptions().
Method in class weka.attributeSelection.RaceSearch
Returns an enumeration describing the available options
listOptions().
Method in class weka.filters.RandomizeFilter
Returns an enumeration describing the available options
listOptions().
Method in class weka.attributeSelection.RandomSearch
Returns an enumeration describing the available options
listOptions().
Method in class weka.experiment.RandomSplitResultProducer
Returns an enumeration describing the available options.
listOptions().
Method in class weka.attributeSelection.Ranker
Returns an enumeration describing the available options
listOptions().
Method in class weka.attributeSelection.RankSearch
Returns an enumeration describing the available options
listOptions().
Method in class weka.classifiers.RegressionByDiscretization
Returns an enumeration describing the available options
listOptions().
Method in class weka.experiment.RegressionSplitEvaluator
Returns an enumeration describing the available options.
listOptions().
Method in class weka.attributeSelection.ReliefFAttributeEval
Returns an enumeration describing the available options
listOptions().
Method in class weka.filters.ResampleFilter
Returns an enumeration describing the available options
listOptions().
Method in class weka.clusterers.SimpleKMeans
Returns an enumeration describing the available options.
listOptions().
Method in class weka.classifiers.SMO
Returns an enumeration describing the available options
listOptions().
Method in class weka.filters.SplitDatasetFilter
Gets an enumeration describing the available options.
listOptions().
Method in class weka.filters.SpreadSubsampleFilter
Returns an enumeration describing the available options
listOptions().
Method in class weka.classifiers.Stacking
Returns an enumeration describing the available options
listOptions().
Method in class weka.filters.StringToNominalFilter
Returns an enumeration describing the available options.
listOptions().
Method in class weka.filters.SwapAttributeValuesFilter
Returns an enumeration describing the available options
listOptions().
Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
Returns an enumeration describing the available options
listOptions().
Method in class weka.classifiers.ThresholdSelector
Returns an enumeration describing the available options
listOptions().
Method in class weka.classifiers.VFI
Returns an enumeration describing the available options
listOptions().
Method in class weka.classifiers.VotedPerceptron
Returns an enumeration describing the available options
listOptions().
Method in class weka.attributeSelection.WrapperSubsetEval
Returns an enumeration describing the available options
ListSelectorDialog(Frame, JList).
Constructor for class weka.gui.ListSelectorDialog
Create the list selection dialog.
lnFactorial(double).
Static method in class weka.core.SpecialFunctions
Returns natural logarithm of factorial using gamma function.
lnGamma(double).
Static method in class weka.core.SpecialFunctions
Returns natural logarithm of gamma function.
lnsrch(int, double[], double, double[], double[], double[], double, double[][], double[]).
Method in class weka.classifiers.Logistic
Finds a new point x in the direction p from
a point xold at which the value of the function
has decreased sufficiently.
locallyPredictiveTipText().
Method in class weka.attributeSelection.CfsSubsetEval
Returns the tip text for this property
locateIndex(int).
Method in class weka.core.SparseInstance
Locates the greatest index that is not greater than the
given index.
LOG2.
Static variable in interface weka.classifiers.kstar.KStarConstants
log2.
Static variable in class weka.core.Utils
The natural logarithm of 2.
log2(double).
Static method in class weka.core.Utils
Returns the logarithm of a for base 2.
log2Binomial(double, double).
Static method in class weka.core.SpecialFunctions
Returns base 2 logarithm of binomial coefficient using gamma function.
log2Multinomial(double, double[]).
Static method in class weka.core.SpecialFunctions
Returns base 2 logarithm of multinomial using gamma function.
log2MultipleHypergeometric(double[][]).
Static method in class weka.core.ContingencyTables
Returns negative base 2 logarithm of multiple hypergeometric
probability for a contingency table.
Logistic().
Constructor for class weka.classifiers.Logistic
LogitBoost().
Constructor for class weka.classifiers.LogitBoost
logMessage(String).
Method in interface weka.gui.Logger
Sends the supplied message to the log area.
logMessage(String).
Method in class weka.gui.LogPanel
Sends the supplied message to the log area.
logMessage(String).
Method in class weka.gui.SysErrLog
Sends the supplied message to the log area.
LogPanel().
Constructor for class weka.gui.LogPanel
Creates the log panel
LogPanel(WekaTaskMonitor).
Constructor for class weka.gui.LogPanel
Creates the log panel
lowerBoundMinSupportTipText().
Method in class weka.associations.Apriori
Returns the tip text for this property
lowerSizeTipText().
Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
lubksb(int, int[], double[]).
Method in class weka.classifiers.m5.Matrix
LU backward substitution
lubksb(int[], double[]).
Method in class weka.core.Matrix
Performs LU backward substitution.
ludcmp().
Method in class weka.core.Matrix
Performs LU decomposition.
ludcmp(int, int[]).
Method in class weka.classifiers.m5.Matrix
LU decomposition
LWR().
Constructor for class weka.classifiers.LWR