Index

A C D E G H L M N O P R S T V

A

add(Attribute) - Method in class Attributes: Adds a new attribute to this set of attributes.
add(DataSet) - Method in class DataSet: Adds the examples of the specified data set to this data set.
add(Example) - Method in class DataSet: Adds the specified example to this data set.
addValue(String) - Method in class NominalAttribute: Adds a new nominal value to the domain of this nominal attribute.
Attribute - Class in <Unnamed>: Stores information for an attribute.
Attribute() - Constructor for class Attribute: Default constructor.
Attribute(String) - Constructor for class Attribute: Explicit constructor that sets the name of this attribute.
AttributeFactory - Class in <Unnamed>: A factory for making NominalAttributes and NumericAttributes from a scanner.
AttributeFactory() - Constructor for class AttributeFactory
Attributes - Class in <Unnamed>: Stores information for attributes for data sets for machine learning.
Attributes() - Constructor for class Attributes: Default constructor.
attributes - Variable in class Attributes: a list of attributes
attributes - Variable in class DataSet: the attributes of this data set
attributes - Variable in class Examples: the attributes structure for these examples

C

classIndex - Variable in class Attributes: stores the position of the class label

D

DataSet - Class in <Unnamed>: Implements a class for a data set for machine-learning methods.
DataSet() - Constructor for class DataSet: Default constructor.
DataSet(String[]) - Constructor for class DataSet: Explicit constructor.
DataSet(Attributes) - Constructor for class DataSet: Explicit constructor.
domain - Variable in class NominalAttribute: a list of strings for the domain of nominal attributes

E

Example - Class in <Unnamed>: Stores the attribute values of an example.
Example(int) - Constructor for class Example: Explicit constructor.
examples - Variable in class DataSet: the examples of this data set
Examples - Class in <Unnamed>: Stores examples for data sets for machine learning.
Examples(Attributes) - Constructor for class Examples: Explicit constructor.

G

get(int) - Method in class Attributes: Returns the ith attribute in this set of attributes.
getAttributes() - Method in class DataSet: Gets the attributes of this DataSet object.
getClassAttribute() - Method in class Attributes: Returns the class attribute.
getClassIndex() - Method in class Attributes: Returns the index of the class label.
getExamples() - Method in class DataSet: Gets the examples of this data set.
getHasNumericAttributes() - Method in class Attributes: Returns true if this set of attributes has one or more numeric attributes; returns false otherwise.
getHasNumericAttributes() - Method in class DataSet: Returns true if this data set has numeric attributes; returns false otherwise.
getIndex(String) - Method in class Attributes: Returns the attribute's index.
getIndex(String) - Method in class NominalAttribute: Returns the index of the specified value index for this nominal attribute.
getName() - Method in class Attribute: Gets the name of this attribute.
getSeed() - Method in class DataSet: Gets the seed for this data set.
getTestingSet() - Method in class TrainTestSets: Returns the testing set of this train/test set.
getTrainingSet() - Method in class TrainTestSets: Returns the training set of this train/test set.
getValue(int) - Method in class NominalAttribute: Returns the value of this nominal attribute at the specified index.

H

hasNumericAttributes - Variable in class Attributes: a flag indicating that the data set has one or more numeric attributes

L

load(String) - Method in class DataSet: Loads a data set from the specified file.

M

main(String[]) - Static method in class Attribute
main(String[]) - Static method in class Attributes: A main method for testing.
main(String[]) - Static method in class DataSet: A main method for testing.
main(String[]) - Static method in class NominalAttribute
main(String[]) - Static method in class NumericAttribute
make(Scanner) - Static method in class AttributeFactory: Processes a single attribute declaration, consisting of the keyword &attribute, name, and either the keyword numeric or a list of nominal values.

N

name - Variable in class Attribute: this attribute's name
name - Variable in class DataSet: the name of this data set
NominalAttribute - Class in <Unnamed>: Stores information for a nominal attribute.
NominalAttribute() - Constructor for class NominalAttribute: Default constructor.
NominalAttribute(String) - Constructor for class NominalAttribute: Explicit constructor.
NumericAttribute - Class in <Unnamed>: Stores information for a numeric attribute.
NumericAttribute() - Constructor for class NumericAttribute: Default constructor.
NumericAttribute(String) - Constructor for class NumericAttribute: Explicit constructor.

O

OptionHandler - Interface in <Unnamed>: An interface for an option handler.

P

parse(Scanner) - Method in class Attributes: Parses the attribute declarations in the specified scanner.
parse(Scanner) - Method in class DataSet: Parses a data set from the specified scanner, which consists of parsing the data set's header, attributes, and examples.
parse(Scanner) - Method in class Examples: Given the attributes structure, parses the tokens in the scanner, makes Examples, and adds them to this Examples object.

R

random - Variable in class DataSet: a random number generator

S

seed - Variable in class DataSet: default random seed
setClassIndex(int) - Method in class Attributes: Sets the class index for this set of attributes.
setName(String) - Method in class Attribute: Sets the name of this attribute to the specified name.
setOptions(String[]) - Method in class DataSet: Sets the options for this data set.
setOptions(String[]) - Method in interface OptionHandler
setOptions(String[]) - Method in class TrainTestSets: Sets the options for this train/test set.
setSeed(long) - Method in class DataSet: Sets the random number seed for this data set.
setTestingSet(DataSet) - Method in class TrainTestSets: Sets the testing set of this train/test set to the specified data set.
setTrainingSet(DataSet) - Method in class TrainTestSets: Sets the training set of this train/test set to the specified data set.
size() - Method in class Attribute: Gets the size of this attribute's domain.
size() - Method in class Attributes: Returns the number of attributes.
size() - Method in class NominalAttribute: Gets the size of this nominal attribute's domain.

T

test - Variable in class TrainTestSets: the testing examples
toString() - Method in class Attribute: Returns a string representation of this attribute.
toString() - Method in class Attributes: Returns a string representation of this Attributes object.
toString() - Method in class DataSet: Returns a string representation of the data set in a format identical to that of the file format.
toString() - Method in class Examples: Returns a string representation of this Examples object.
toString() - Method in class NominalAttribute: Returns a string representation of this NominalAttribute.
toString() - Method in class NumericAttribute: Returns a string representation of this NumericAttribute.
toString() - Method in class TrainTestSets: Returns a string representation of this train/test set in a format similar to that of the file format.
train - Variable in class TrainTestSets: the training examples
TrainTestSets - Class in <Unnamed>: Implements a class for storing training and testing sets for machine-learning methods.
TrainTestSets() - Constructor for class TrainTestSets: Default constructor.
TrainTestSets(String[]) - Constructor for class TrainTestSets: Explicit constructor that processes the specified arguments.
TrainTestSets(DataSet, DataSet) - Constructor for class TrainTestSets: Explicit constructor that sets the training and testing sets to the specified data sets.

V

validValue(String) - Method in class NominalAttribute: Returns whether the value is valid for a nominal attribute
validValue(Double) - Method in class NumericAttribute: Returns whether the specified value is valid for a numeric attribute.

A C D E G H L M N O P R S T V