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

C

characters(char[], int, int) - Method in class ace.xmlparsers.ParseACEProjectFileHandler
This stores the contents of parsed text elements.
characters(char[], int, int) - Method in class ace.xmlparsers.ParseClassificationsFileHandler
This method responds to the contents of tags in a way determined by the name of the tag (as determined by the startElement method).
characters(char[], int, int) - Method in class ace.xmlparsers.ParseDataSetFileHandler
This method responds to the contents of tags in a way determined by the name of the tag (as determined by the startElement method).
characters(char[], int, int) - Method in class ace.xmlparsers.ParseFeatureDefinitionsFileHandler
This method responds to the contents of tags in a way determined by the name of the tag (as determined by the startElement method).
characters(char[], int, int) - Method in class ace.xmlparsers.ParseTaxonomyFileHandler
This method creates a new node of the tree and places the textual content of the element in the new node.
class_attribute - Variable in class ace.datatypes.TrainedModel
Attribute describing the possible classes to which an Instance may belong.
classification_paths - Variable in class ace.datatypes.Project
Array of paths to the ACE XML classification files that hold model classifications for instances.
classifications - Variable in class ace.datatypes.SegmentedClassification
The class(es) that this top-level SegmentedClassification or section belongs to.
classifications_file - Variable in class ace.CommandLine
The path to the ACE XML classifications file for this project.
ClassificationSettingsPanel - Class in ace.gui
// FILL IN
ClassificationSettingsPanel(MainGUIFrame) - Constructor for class ace.gui.ClassificationSettingsPanel
Basic constructor.
classifier - Variable in class ace.datatypes.TrainedModel
A Weka Classifier to be trained based on the training Instances.
classifier_descriptions - Variable in class ace.datatypes.CrossValidationResults
The type of classifier or classification algorithm being used for this cross validation.
classifier_settings_path - Variable in class ace.datatypes.Project
Path to the current classifier_settings_file that holds preferences for use in training and testing classifiers.
classifier_type - Variable in class ace.CommandLine
The type of Weka Classifier to be trained.
classify(String, TrainedModel) - Method in class ace.Coordinator
Classifies a set of instances with the given trained classifier.
classify(TrainedModel, DataBoard, Instances, String, boolean) - Static method in class ace.InstanceClassifier
Classify a set of instances using a trained Weka Classifier.
classifyInstances(TrainedModel, Instances, boolean) - Static method in class ace.InstanceClassifier
Classifies a set of Weka Instances.
CommandLine - Class in ace
Parses and processes the flags and options given at the command line.
CommandLine(String[]) - Constructor for class ace.CommandLine
Reads options from the command line and sets fields accordinly.
comments - Variable in class ace.datatypes.Project
Comments concerning this ACE project to be included in the ACE XML project file with the <comments> tag.
Coordinator - Class in ace
Coordinates ACE's main functionality.
Coordinator(DataBoard, String, boolean) - Constructor for class ace.Coordinator
Constructs an instance of a Coordinator object.
cross_val_times - Variable in class ace.datatypes.CrossValidationResults
The time (in minutes) that it took for the cross validation to finish.
cross_validation_confusion_matrices - Variable in class ace.datatypes.CrossValidationResults
A table displaying the distribution of correct and incorrect instances.
cross_validation_string - Variable in class ace.CommandLine
Specifies the number of folds to be used in cross validation.
crossValidate(double, double, boolean, String, String, String, int, int, OutputStream, boolean) - Method in class ace.Coordinator
Cross validates a set of Weka Instances.
crossValidate(TrainedModel, CrossValidationResults[], Instances, OutputStream, StringBuffer, String, String, boolean, boolean, int) - Method in class ace.CrossValidator
Cross validates a set of Weka Instances.
crossValidateMultiApproaches(int, Instances, String, boolean, boolean, int, String[]) - Method in class ace.Experimenter
Apply a variety of dimensionality reduction and classification techniques to the given instances.
CrossValidationResults - Class in ace.datatypes
Holds the results of a cross validation.
CrossValidationResults() - Constructor for class ace.datatypes.CrossValidationResults
 
CrossValidator - Class in ace
Cross validates a set of Weka Instances.
CrossValidator(Instances, int, String[]) - Constructor for class ace.CrossValidator
This constructor will be called when a single cross validation is being performed with only one type of Classifier and one type of dimensionality reduction.
CrossValidator(Instances, int[], int) - Constructor for class ace.CrossValidator
This constructor will be called in the context of Experimentation when multiple Classifiers and types of dimensionality reduction are being used.

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