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

G

generateArray(LinkedList<String>) - Static method in class ace.datatypes.CrossValidationResults
Instantiates an array of CrossValidationResults objects.
generatePartitionArray(int, int) - Static method in class ace.CrossValidator
Generates an array of evenly distributed random numbers between 0 and num_folds -1 to be used during the partitioning of Instances into cross validation folds.
generateTaxonomy(SegmentedClassification[]) - Static method in class ace.datatypes.Taxonomy
Automatically generates a flat taxonomy based on the class labels in the given SegmentedClassification object.
getAllParentsAndTheirDirectChildren() - Method in class ace.datatypes.Taxonomy
Returns the name of each class with children and its direct descendants.
getAllUntrainedClassifiers(LinkedList<String>) - Static method in class ace.Coordinator
Return an array of untrained but parameterized classifiers that can be used for a variety of purposes.
getClassesInClassificationsButNotTaxonomy(SegmentedClassification[]) - Method in class ace.datatypes.Taxonomy
Returns an array listing the classes that are found in the given classifications (either overall classifications or classifications of sub-sections) but not in this taxonomy.
getClassesInTaxonomyButNotInClassifications(SegmentedClassification[]) - Method in class ace.datatypes.Taxonomy
Returns an array listing the classes that are found in this taxonomy but not in the given classifications (either overall classifications or classifications of sub-sections).
getClassificationDescription(int) - Method in class ace.datatypes.SegmentedClassification
Generate a formatted String detailing the contents of this SegmentedClassification.
getClassificationDescriptions(SegmentedClassification[]) - Static method in class ace.datatypes.SegmentedClassification
Returns a formatted text description of the given SegmentedClassification objects.
getClassifications(Instances, Instances, Instances, String[][]) - Static method in class ace.CrossValidator
Prints the training instances and testing instances with their corresponding model and predicted classification.
getClassifiedResults(Instances, boolean, TrainedModel, boolean, boolean) - Method in class ace.datatypes.DataBoard
Classify the given set of Instances using the given AttributeSelection and the given Classifier.
getClassNames(Instances) - Static method in class ace.CrossValidator
Gets the names of the possible classes into which an instance of the given data set could be classified.
getColumnClass(int) - Method in class ace.gui.FeatureDefinitionsTableModel
Returns the type of class used for each column.
getColumnClass(int) - Method in class ace.gui.InstancesTableModel
Returns the type of class used for each column.
getConfusionMatrix(Instances, Instances, String[]) - Static method in class ace.InstanceClassifier
Gets the confusion matrix for a set of classified Instances.
getCorrectCount(Instances, Instances) - Static method in class ace.InstanceClassifier
Compares the given classifications with the given model classifications and returns number of correct classifications.
getDataSetDescription(int) - Method in class ace.datatypes.DataSet
Generate a formatted strind detailing the contents of this DataSet.
getDataSetDescriptions(DataSet[]) - Static method in class ace.datatypes.DataSet
Returns a formatted text description of the given DataSet objects.
getDimensionallyReducedInstances(Instances, LinkedList<String>, LinkedList<String>, LinkedList<String>, double[][], OutputStream, boolean, int) - Static method in class ace.DimensionalityReducer
Perform a variety of features selection techniques on the given instances in order to produce a variety of sets of instances with different selected features.
getFeatureDefinitions() - Method in class ace.datatypes.DataBoard
Returns meta-data about the feautres that characterize instances.
getFeatureDescription() - Method in class ace.datatypes.FeatureDefinition
Returns a formatted text description of the FeatureDescription object.
getFeatureDescriptions(FeatureDefinition[]) - Static method in class ace.datatypes.FeatureDefinition
Returns a formatted text description of the given FeatureDescription objects.
getFeatureDimensionalities() - Method in class ace.datatypes.DataBoard
Returns the number of dimensions of each of the features stored in the feature_definitions field.
getFeatureNames() - Method in class ace.datatypes.DataBoard
Returns the names of the features stored in the feature_definitions field.
getFeatureSelectors(Instances, LinkedList<String>, LinkedList<String>, double[][], int, OutputStream) - Static method in class ace.DimensionalityReducer
Return an array of AttributeSelection objects that can be applied to instances.
getFeatureValuesOfSubSections(FeatureDefinition[]) - Method in class ace.datatypes.DataSet
Returns the feature values stored in the DataSets in the sub_sets field of this object.
getFeatureValuesOfTopLevel(FeatureDefinition[]) - Method in class ace.datatypes.DataSet
Returns the feature values stored in the feature_values field of this object.
getFeatureVectors() - Method in class ace.datatypes.DataBoard
Returns feature vectors for a set of instances.
getFileType(String) - Static method in class ace.xmlparsers.XMLDocumentParser
Returns the file type of the given file.
getFormattedSelectedFeatureNames(Instances, int) - Static method in class ace.DimensionalityReducer
Returns a formatted string describing the features available in the given instances.
getFormattedTreeStructure() - Method in class ace.datatypes.Taxonomy
Returns a string showing the entire taxonomy.
getInstanceAttributes(String, int) - Method in class ace.datatypes.DataBoard
Uses the feature definitions and taxonomy stored in this DataBoard to return an empty set of Weka Instances.
getInstanceIdentifiers() - Method in class ace.datatypes.DataBoard
Gets array of unique identifiers for DataSet object of this DataBoard.
getInstanceMetaDataFields() - Method in class ace.datatypes.DataBoard
Returns the names of all meta-data fields stored in the contents of any of the instances stored in the model_classifications field.
getLeafClasses(SegmentedClassification[]) - Static method in class ace.datatypes.SegmentedClassification
Returns an array containing the names of all classes that any instances or sub-sections of the given SegmentedClassification belong to.
getLeafLabels() - Method in class ace.datatypes.Taxonomy
Returns an array holding the labels of all leaf classes in the taxonomy field.
getLeafsAndTheirParents() - Method in class ace.datatypes.Taxonomy
Returns each leaf class in the taxonomy field and its ancestry.
getMatchingModelClassification(DataSet) - Method in class ace.datatypes.DataBoard
Searches the model_classifications stored in this DataBoard with an identifier that matches the identifier of the given DataSet.
getMergedFeatureDefinitions(FeatureDefinition[][]) - Static method in class ace.datatypes.FeatureDefinition
Takes multiple different arrays of feature definitions and combines them.
getMergedFeatureTypes(DataSet[][], FeatureDefinition[], String[][]) - Static method in class ace.datatypes.DataSet
Merges the different extracted features contained in multiple DataSet objects that hold references to the same instances.
getMergedSectionalClassifications(SegmentedClassification[], DataSet[], double[][][]) - Static method in class ace.datatypes.SegmentedClassification
Finds the timeframes in which the sub-sets overlap with the sub-classifications.
getMiddleLabels() - Method in class ace.datatypes.Taxonomy
Returns an array holding the labels of the classes in the taxonomy field that are neither leaves nor parent classes.
getModelClassifications() - Method in class ace.datatypes.DataBoard
Returns the model classifications that are used in supervised training.
getNumberOverallInstancesBelongingToClass(SegmentedClassification[], String) - Static method in class ace.datatypes.SegmentedClassification
Returns the number of given instances that belong to the given class.
getNumberSectionsInInstancesBelongingToClass(SegmentedClassification[], String) - Static method in class ace.datatypes.SegmentedClassification
Returns the number of given instances that have sections belonging to the given class.
getOneUntrainedClassifier(String, String[]) - Static method in class ace.Coordinator
Prepares a single Weka Classifier.
getOverallConfusionMatrix(double[][][]) - Method in class ace.CrossValidator
Gets the confusion matrix for the cross validation as a whole from the confusion matrices of each fold.
getOverallLabelsOfDataSets(DataSet[], SegmentedClassification[]) - Static method in class ace.datatypes.SegmentedClassification
Returns a 2-D array describing the top-level label(s) of the given DataSets, according to the given SegmentedClassifications.
getParentLabels() - Method in class ace.datatypes.Taxonomy
Returns an array holding the labels of all parent classes (i.e.
getSelectedFeatureNames(AttributeSelection, int, Instances) - Static method in class ace.DimensionalityReducer
Returns a string detailing the features that have been selected.
getSubSectionLabelsOfDataSets(DataSet[], SegmentedClassification[]) - Static method in class ace.datatypes.SegmentedClassification
Returns a 3-D array describing the sub-section label(s) of the given DataSets, according to the given SegmentedClassifications.
getSuccessRate(SegmentedClassification[], SegmentedClassification[], StringBuffer) - Static method in class ace.InstanceClassifier
Gets the number of correct classifications for overall instances and subsections and appends the results of each classification to a given StringBuffer object.
getSuccessString(SegmentedClassification[], SegmentedClassification[], StringBuffer) - Static method in class ace.InstanceClassifier
Gets a String describing the success rate of a classification.
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class ace.gui.ShowSectionsColumnRenderer
Determines whether the cell should be blank or have a checkbox.
getTaxonomy() - Method in class ace.datatypes.DataBoard
Returns the taxonomy that instances are to be classified into.
gui_preferences_path - Variable in class ace.datatypes.Project
Path to the current gui_preferences_file.
GUIPreferencesPanel - Class in ace.gui
// FILL IN
GUIPreferencesPanel(MainGUIFrame) - Constructor for class ace.gui.GUIPreferencesPanel
Basic constructor.

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