A B C D E F G H I J K L M N O P Q R S T U V W X

D

dataset() - Method in class weka.core.Instance

Returns the dataset this instance has access to.

delete() - Method in class weka.core.Instances

Removes all instances from the set.

delete(int) - Method in class weka.core.Instances

Removes an instance at the given position from the set.

deleteAttributeAt(int) - Method in class weka.core.Instance

Deletes an attribute at the given position (0 to numAttributes() - 1).

deleteAttributeAt(int) - Method in class weka.core.Instances

Deletes an attribute at the given position (0 to numAttributes() - 1).

deleteStringAttributes() - Method in class weka.core.Instances

Deletes all string attributes in the dataset.

deleteWithMissing(int) - Method in class weka.core.Instances

Removes all instances with missing values for a particular attribute from the dataset.

deleteWithMissing(Attribute) - Method in class weka.core.Instances

Removes all instances with missing values for a particular attribute from the dataset.

deleteWithMissingClass() - Method in class weka.core.Instances

Removes all instances with a missing class value from the dataset.

description() - Method in class weka.core.Option

Returns the option's description.

disallowInternalPeriodsTipText() - Method in class KEAPhraseFilter

Returns the tip text for this property

DiscretizeFilter - Class in weka.filters

An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.

DiscretizeFilter() - Constructor for class weka.filters.DiscretizeFilter

Constructor - initialises the filter

distinctCount - Variable in class weka.core.AttributeStats

The number of distinct values

DistributionClassifier - Class in weka.classifiers

Abstract classification model that produces (for each test instance) an estimate of the membership in each class (ie.

DistributionClassifier() - Constructor for class weka.classifiers.DistributionClassifier

distributionForInstance(Instance) - Method in class weka.classifiers.DistributionClassifier

Predicts the class memberships for a given instance.

distributionForInstance(Instance) - Method in class weka.classifiers.FilteredClassifier

Classifies a given instance after filtering.

distributionForInstance(Instance) - Method in class weka.classifiers.NaiveBayesSimple

Calculates the class membership probabilities for the given test instance.

doubleToString(double, int) - Static method in class weka.core.Utils

Rounds a double and converts it into String.

doubleToString(double, int, int) - Static method in class weka.core.Utils

Rounds a double and converts it into a formatted decimal-justified String.