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

C

calculateDerived() - Method in class weka.experiment.Stats

Tells the object to calculate any statistics that don't have their values automatically updated during add.

capacity() - Method in class weka.core.FastVector

Returns the capacity of the vector.

checkForRemainingOptions(String[]) - Static method in class weka.core.Utils

Checks if the given array contains any non-empty options.

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

Checks for string attributes in the dataset

checkInstance(Instance) - Method in class weka.core.Instances

Checks if the given instance is compatible with this dataset.

chiSquared(double[][], boolean) - Static method in class weka.core.ContingencyTables

Returns chi-squared probability for a given matrix.

chiSquaredProbability(double, int) - Static method in class weka.core.Statistics

Returns chi-squared probability for given value and degrees of freedom.

chiVal(double[][], boolean) - Static method in class weka.core.ContingencyTables

Computes chi-squared statistic for a contingency table.

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

Returns class attribute.

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

Returns the class attribute.

Classifier - Class in weka.classifiers

Abstract classifier.

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

classifyInstance(Instance) - Method in class weka.classifiers.Classifier

Classifies a given instance.

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

Classifies the given test instance.

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

Returns the class attribute's index.

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

Returns the class attribute's index.

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

Tests if an instance's class is missing.

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

Returns an instance's class value in internal format.

cochransCriterion(double[][]) - Static method in class weka.core.ContingencyTables

Tests if Cochran's criterion is fullfilled for the given contingency table.

collectStems() - Method in class KEAKeyphraseExtractor

Collects the stems of the file names.

collectStems() - Method in class KEAModelBuilder

Collects the stems of the file names.

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

Compactifies the set of instances.

containsEntry(String) - Method in class Vocabulary

Checks whether a normalized version of a phrase (pseudo phrase) is a valid vocabulary term.

ContingencyTables - Class in weka.core

Class implementing some statistical routines for contingency tables.

ContingencyTables() - Constructor for class weka.core.ContingencyTables

convertNewLines(String) - Static method in class weka.core.Utils

Converts carriage returns and new lines in a string into \r and \n.

copy() - Method in class weka.core.Attribute

Produces a shallow copy of this attribute.

copy() - Method in interface weka.core.Copyable

This method produces a shallow copy of an object.

copy() - Method in class weka.core.FastVector

Produces a shallow copy of this vector.

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

Produces a shallow copy of this instance.

copy() - Method in class weka.core.SparseInstance

Produces a shallow copy of this instance.

Copyable - Interface in weka.core

Interface implemented by classes that can produce "shallow" copies of their objects.

copyElements() - Method in class weka.core.FastVector

Clones the vector and shallow copies all its elements.

correlation(double[], double[], int) - Static method in class weka.core.Utils

Returns the correlation coefficient of two double vectors.

count - Variable in class weka.experiment.Stats

The number of values seen

Counter - Class in <Unnamed>

Class that implements a simple counter.

Counter() - Constructor for class Counter

Initializes the counter to 1

Counter(int) - Constructor for class Counter

Initializes the counter to the given value

CramersV(double[][]) - Static method in class weka.core.ContingencyTables

Computes Cramer's V for a contingency table.