Uses of Class
ace.datatypes.DataSet

Packages that use DataSet
ace.datatypes   
 

Uses of DataSet in ace.datatypes
 

Fields in ace.datatypes declared as DataSet
 DataSet[] DataBoard.feature_vectors
          Feature vectors for a set of instances.
 DataSet DataSet.parent
          If this object is a sub-set of another DataSet, this field points to that parent dataset.
 DataSet[] DataSet.sub_sets
          Sub-sets of this DataSet.
 

Methods in ace.datatypes that return DataSet
 DataSet[] DataBoard.getFeatureVectors()
          Returns feature vectors for a set of instances.
static DataSet[] DataSet.getMergedFeatureTypes(DataSet[][] datasets_to_combine, FeatureDefinition[] combined_feature_definitions, java.lang.String[][] matching_identifier_keys)
          Merges the different extracted features contained in multiple DataSet objects that hold references to the same instances.
static DataSet[] DataSet.parseDataSetFile(java.lang.String data_set_file_path)
          Parses a feature_vector_file XML file and returns an array of DataSet objects holding its contents.
static DataSet[] DataSet.parseDataSetFile(java.lang.String data_set_file_path, FeatureDefinition[] definitions)
          Parses a feature_vector_file XML file and returns an array of DataSet objects holding its contents.
static DataSet[] DataSet.parseDataSetFiles(java.lang.String[] data_set_file_paths, FeatureDefinition[] definitions)
          Parses a several feature_vector_file XML files and returns an array of DataSet objects holding the combined contents of all of the files.
 

Methods in ace.datatypes with parameters of type DataSet
static SegmentedClassification SegmentedClassification.findMatchingClassification(DataSet instance, SegmentedClassification[] classes)
          Compares the given DataSet object to each of the SegmentedClassification objects in order to find a SegmentedClassification object with the same identifier as the given DataSet object.
static java.lang.String DataSet.getDataSetDescriptions(DataSet[] dataset)
          Returns a formatted text description of the given DataSet objects.
 SegmentedClassification DataBoard.getMatchingModelClassification(DataSet data_set)
          Searches the model_classifications stored in this DataBoard with an identifier that matches the identifier of the given DataSet.
static DataSet[] DataSet.getMergedFeatureTypes(DataSet[][] datasets_to_combine, FeatureDefinition[] combined_feature_definitions, java.lang.String[][] matching_identifier_keys)
          Merges the different extracted features contained in multiple DataSet objects that hold references to the same instances.
static java.lang.String[][][] SegmentedClassification.getMergedSectionalClassifications(SegmentedClassification[] sub_classes, DataSet[] sub_set, double[][][] times)
          Finds the timeframes in which the sub-sets overlap with the sub-classifications.
static java.lang.String[][] SegmentedClassification.getOverallLabelsOfDataSets(DataSet[] data_sets, SegmentedClassification[] set_classifications)
          Returns a 2-D array describing the top-level label(s) of the given DataSets, according to the given SegmentedClassifications.
static java.lang.String[][][] SegmentedClassification.getSubSectionLabelsOfDataSets(DataSet[] data_sets, SegmentedClassification[] set_classifications)
          Returns a 3-D array describing the sub-section label(s) of the given DataSets, according to the given SegmentedClassifications.
static void DataSet.saveDataSets(DataSet[] data_sets, FeatureDefinition[] definitions, java.io.File to_save_to, java.lang.String comments)
          Saves a feature_vector_file XML file with the contents specified in the given DataSet array and the comments specified in the comments parameter.
 

Constructors in ace.datatypes with parameters of type DataSet
DataBoard(Taxonomy taxonomy, FeatureDefinition[] feature_definitions, DataSet[] feature_vectors, SegmentedClassification[] model_classifications)
          Generates a DataBoard with the fields specified in the parameters.
DataSet(java.lang.String identifier, DataSet[] sub_sets, java.lang.Double start, java.lang.Double stop, double[][] feature_values, java.lang.String[] feature_names, DataSet parent)
          Explicitly creates a DataSet
DataSet(java.lang.String identifier, DataSet[] sub_sets, java.lang.Double start, java.lang.Double stop, double[][] feature_values, java.lang.String[] feature_names, DataSet parent)
          Explicitly creates a DataSet