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All Classes All Packages
All Classes All Packages
A
- acceptErrorResult(Task, Instances, int, Classifier, String, String) - Method in class org.openml.weka.experiment.TaskResultListener
 - acceptResultsForSending(Task, Instances, int, Integer, Integer, Integer, Classifier, String, List<Integer>, ArrayList<Prediction>, Map<String, MetricScore>, List<OptimizationTrace.Quadlet<String, Double, List<Map.Entry<String, Object>>, Boolean>>) - Method in class org.openml.weka.experiment.TaskResultListener
 - actionPerformed(ActionEvent) - Method in class org.openml.weka.gui.TaskListPanel
 - 
Handle actions when buttons get pressed.
 - actionPerformedTaskBasedAdd(ActionEvent) - Method in class org.openml.weka.gui.TaskListPanel
 - actionPerformedTaskBasedEdit(ActionEvent) - Method in class org.openml.weka.gui.TaskListPanel
 - addPropertyChangeListener(PropertyChangeListener) - Method in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Adds a PropertyChangeListener who will be notified of value changes.
 - addTraceToDataset(Instances, List<OptimizationTrace.Quadlet<String, Double, List<Map.Entry<String, Object>>, Boolean>>, int, int, int) - Static method in class org.openml.weka.algorithm.OptimizationTrace
 - advanceCounters() - Method in class org.openml.weka.experiment.TaskBasedExperiment
 - apiconnector - Variable in class org.openml.weka.experiment.TaskBasedExperiment
 - apiconnector - Variable in class org.openml.weka.experiment.TaskResultProducer
 - apiconnector - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - ARRAY - org.openml.weka.algorithm.WekaParameterType
 - AuthenticationDialog - Class in org.openml.weka.gui
 - AuthenticationDialog(JFrame) - Constructor for class org.openml.weka.gui.AuthenticationDialog
 
C
- CLASSIFIER - org.openml.weka.algorithm.WekaParameterType
 - classifierSerializedToFile(Classifier, Integer) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - Constants - Class in org.openml.weka.algorithm
 - Constants() - Constructor for class org.openml.weka.algorithm.Constants
 - containsEscapableCharacter(String) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - currentTaskRepresentation - Variable in class org.openml.weka.experiment.TaskResultProducer
 - 
Current task information string
 
D
- DATASET_ID - Variable in class org.openml.weka.algorithm.DataSplits
 - DataSplits - Class in org.openml.weka.algorithm
 - DataSplits(int, EstimationProcedure, Instances, Instances) - Constructor for class org.openml.weka.algorithm.DataSplits
 - deserializeClassifier(Flow) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - deserializeSetup(SetupParameters, Flow, boolean) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - determineOutputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - determineOutputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate
 - doRun(int) - Method in class org.openml.weka.experiment.TaskResultProducer
 
E
- executeTask(OpenmlConnector, WekaConfig, Integer, Classifier) - Static method in class org.openml.weka.experiment.RunOpenmlJob
 - extractTrace(Classifier) - Static method in class org.openml.weka.algorithm.OptimizationTrace
 
F
- FLAG - org.openml.weka.algorithm.WekaParameterType
 - FOLDS - Variable in class org.openml.weka.algorithm.DataSplits
 - fromString(String) - Static method in enum org.openml.weka.algorithm.WekaParameterType
 - 
Converts a textual description of a parameter into a ParameterType
 
G
- getApiKey() - Method in class org.openml.weka.gui.AuthenticationDialog
 - getApplicationName() - Method in class org.openml.weka.gui.OpenmlExperimenter
 - getArffFromUrl(int) - Method in class org.openml.weka.io.OpenmlWekaConnector
 - 
Downloads a file from OpenML and parses it as Instances object
 - getAttributeIndex(Instances, String) - Static method in class org.openml.weka.algorithm.InstancesHelper
 - getAttributes(Instances) - Static method in class org.openml.weka.algorithm.InstancesHelper
 - getAvoidDuplicateRuns() - Method in class org.openml.weka.algorithm.WekaConfig
 - getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - getDataset(DataSetDescription) - Method in class org.openml.weka.io.OpenmlWekaConnector
 - 
Downloads a dataset from OpenML and parses it as Instances object
 - getDatasetFromTask(OpenmlConnector, Task) - Static method in class org.openml.weka.algorithm.InstancesHelper
 - getDatasets() - Method in class org.openml.weka.experiment.TaskBasedExperiment
 - getDebugMode() - Method in class org.openml.weka.algorithm.WekaConfig
 - getEstimationProcedure() - Method in class org.openml.weka.algorithm.DataSplits
 - getExperiment() - Method in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Gets the currently configured experiment.
 - getImplementationId(Flow, Classifier, OpenmlConnector) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - getJobRequestSetupId() - Method in class org.openml.weka.algorithm.WekaConfig
 - getJobRequestSetupTag() - Method in class org.openml.weka.algorithm.WekaConfig
 - getJobRequestTaskTag() - Method in class org.openml.weka.algorithm.WekaConfig
 - getMenuBar() - Method in class org.openml.weka.gui.OpenmlExperimenter
 - getMenuEntryText() - Method in class org.openml.weka.gui.OpenmlExperimenter
 - getMenuToDisplayIn() - Method in class org.openml.weka.gui.OpenmlExperimenter
 - getMultipleParamValues(String[], String) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - getName() - Method in enum org.openml.weka.algorithm.WekaParameterType
 - getName() - Method in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - getNrOfRuns() - Method in class org.openml.weka.algorithm.DataSplits
 - getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - getParameterSetting(String[], Flow) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - getReturnValue() - Method in class org.openml.weka.gui.AuthenticationDialog
 - getRun(Integer) - Method in class org.openml.weka.experiment.TaskResultListener
 - getRunIds() - Method in class org.openml.weka.experiment.TaskResultListener
 - getSetupId(String, String, OpenmlConnector) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - getSkipJvmBenchmark() - Method in class org.openml.weka.algorithm.WekaConfig
 - getSplitEvaluatorKey(int) - Method in class org.openml.weka.experiment.TaskResultProducer
 - getSplitsFromTask(Task) - Method in class org.openml.weka.io.OpenmlWekaConnector
 - 
Downloads a data splits file from OpenML and parses it as Instances object
 - getTasks() - Method in class org.openml.weka.experiment.TaskBasedExperiment
 - getTestSet(int, int) - Method in class org.openml.weka.algorithm.DataSplits
 - getTestSet(int, int, Integer) - Method in class org.openml.weka.algorithm.DataSplits
 - getTestSetRowIds(int, int, Integer) - Method in class org.openml.weka.algorithm.DataSplits
 - getTrainedClassifier() - Method in class org.openml.weka.experiment.OpenmlClassificationSplitEvaluator
 - getTrainedClassifier() - Method in class org.openml.weka.experiment.OpenmlRegressionSplitEvaluator
 - getTrainedClassifier() - Method in interface org.openml.weka.experiment.OpenmlSplitEvaluator
 - 
Returns the classifier that was trained most recent.
 - getTrainingSet(int, int) - Method in class org.openml.weka.algorithm.DataSplits
 - getTrainingSet(int, int, Integer) - Method in class org.openml.weka.algorithm.DataSplits
 - getVersion(String) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate
 
H
- HAS_SAMPLES - Variable in class org.openml.weka.algorithm.DataSplits
 
I
- imputeMedian(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate
 - initialize() - Method in class org.openml.weka.experiment.TaskBasedExperiment
 - InstancesHelper - Class in org.openml.weka.algorithm
 - InstancesHelper() - Constructor for class org.openml.weka.algorithm.InstancesHelper
 
L
- listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 
M
- m_AlgorithmListPanel - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
The panel for configuring selected algorithms
 - m_BrowseDestinationButton - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Button for browsing destination files
 - m_CurrentTask - Variable in class org.openml.weka.experiment.TaskBasedExperiment
 - 
The task currently being used
 - m_DataSplits - Variable in class org.openml.weka.experiment.TaskResultProducer
 - 
Object representing the datasplits
 - m_Exp - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
The experiment being configured
 - m_Exp - Variable in class org.openml.weka.gui.TaskListPanel
 - 
The experiment to set the dataset or task list of.
 - m_Memory - Static variable in class org.openml.weka.gui.OpenmlExperimenter
 - 
for monitoring the Memory consumption
 - m_NotesButton - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
A button for bringing up the notes
 - m_NotesFrame - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Frame for the notes
 - m_NotesText - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Area for user notes Default of 10 rows
 - m_NumSamples - Variable in class org.openml.weka.experiment.TaskResultProducer
 - 
Number of samples, if applicable
 - m_ResultsDestinationPathLabel - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Label for destination field
 - m_ResultsDestinationPathTField - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Input field for result destination path
 - m_RunPanel - Variable in class org.openml.weka.gui.OpenmlExperimenter
 - 
The panel for running the experiment
 - m_SetupModePanel - Variable in class org.openml.weka.gui.OpenmlExperimenter
 - 
The panel for configuring the experiment
 - m_Support - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Manages sending notifications to people when we change the experiment, at this stage, only the resultlistener so the resultpanel can update.
 - m_TabbedPane - Variable in class org.openml.weka.gui.OpenmlExperimenter
 - 
The tabbed pane that controls which sub-pane we are working with
 - m_Task - Variable in class org.openml.weka.experiment.TaskResultProducer
 - 
The task to be run
 - m_TaskListPanel - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
The panel for configuring selected OpenML tasks
 - m_Tasks - Variable in class org.openml.weka.experiment.TaskBasedExperiment
 - 
An array of the Tasks to be executed
 - main(String[]) - Static method in class org.openml.weka.experiment.RunOpenmlJob
 - main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - 
Main method for testing this class.
 - MAX_ALLOWED_PARAMETERS - Static variable in class org.openml.weka.algorithm.Constants
 - MAX_LENGTH_FLOW_NAME - Static variable in class org.openml.weka.algorithm.Constants
 - MAX_LENGTH_PARAM_NAME - Static variable in class org.openml.weka.algorithm.Constants
 - MAX_LENGTH_PARAM_VALUE - Static variable in class org.openml.weka.algorithm.Constants
 - missingLabels - Variable in class org.openml.weka.experiment.TaskResultProducer
 
N
- nextIteration() - Method in class org.openml.weka.experiment.TaskBasedExperiment
 
O
- OpenmlClassificationSplitEvaluator - Class in org.openml.weka.experiment
 - OpenmlClassificationSplitEvaluator() - Constructor for class org.openml.weka.experiment.OpenmlClassificationSplitEvaluator
 - openmlconfig - Variable in class org.openml.weka.experiment.TaskBasedExperiment
 - openmlconfig - Variable in class org.openml.weka.experiment.TaskResultProducer
 - openmlconfig - Variable in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - OpenmlExperimenter - Class in org.openml.weka.gui
 - OpenmlExperimenter() - Constructor for class org.openml.weka.gui.OpenmlExperimenter
 - OpenmlExperimenter(boolean) - Constructor for class org.openml.weka.gui.OpenmlExperimenter
 - 
Creates the experiment environment gui with no initial experiment
 - OpenmlRegressionSplitEvaluator - Class in org.openml.weka.experiment
 - OpenmlRegressionSplitEvaluator() - Constructor for class org.openml.weka.experiment.OpenmlRegressionSplitEvaluator
 - OpenmlSimpleSetupPanel - Class in org.openml.weka.gui
 - 
This panel controls the configuration of an experiment.
 - OpenmlSimpleSetupPanel() - Constructor for class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Creates the setup panel with no initial experiment.
 - OpenmlSimpleSetupPanel(Experiment) - Constructor for class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Creates the setup panel with the supplied initial experiment.
 - OpenmlSplitEvaluator - Interface in org.openml.weka.experiment
 - OpenmlWekaConnector - Class in org.openml.weka.io
 - OpenmlWekaConnector() - Constructor for class org.openml.weka.io.OpenmlWekaConnector
 - OpenmlWekaConnector(String, String) - Constructor for class org.openml.weka.io.OpenmlWekaConnector
 - OptimizationTrace - Class in org.openml.weka.algorithm
 - OptimizationTrace() - Constructor for class org.openml.weka.algorithm.OptimizationTrace
 - OptimizationTrace.Quadlet<T,U,V,W> - Class in org.openml.weka.algorithm
 - OPTION - org.openml.weka.algorithm.WekaParameterType
 - OPTIONHANDLER - org.openml.weka.algorithm.WekaParameterType
 - org.openml.weka.algorithm - package org.openml.weka.algorithm
 - org.openml.weka.experiment - package org.openml.weka.experiment
 - org.openml.weka.gui - package org.openml.weka.gui
 - org.openml.weka.io - package org.openml.weka.io
 
P
- PARAMETERFREE_CLASS - org.openml.weka.algorithm.WekaParameterType
 - parameterValuesToJson(String[], Integer) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - postExecution() - Method in class org.openml.weka.experiment.RunOpenmlJob
 - preExecution() - Method in class org.openml.weka.experiment.RunOpenmlJob
 - process(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - process(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate
 
R
- recentPredictions() - Method in class org.openml.weka.experiment.OpenmlClassificationSplitEvaluator
 - recentPredictions() - Method in class org.openml.weka.experiment.OpenmlRegressionSplitEvaluator
 - recentPredictions() - Method in interface org.openml.weka.experiment.OpenmlSplitEvaluator
 - 
Returns the predictions of the classifier that was called on it's predict function most recent.
 - regressionTask - Variable in class org.openml.weka.experiment.TaskResultProducer
 - removePropertyChangeListener(PropertyChangeListener) - Method in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Removes a PropertyChangeListener.
 - RemoveUnusedClassValues - Class in weka.filters.unsupervised.attribute
 - RemoveUnusedClassValues() - Constructor for class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - REPEATS - Variable in class org.openml.weka.algorithm.DataSplits
 - ReplaceMissingNumericValuesAndIndicate - Class in weka.filters.unsupervised.attribute
 - ReplaceMissingNumericValuesAndIndicate() - Constructor for class weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate
 - run(Object, String[]) - Method in class org.openml.weka.experiment.RunOpenmlJob
 - RunOpenmlJob - Class in org.openml.weka.experiment
 - RunOpenmlJob() - Constructor for class org.openml.weka.experiment.RunOpenmlJob
 
S
- SAMPLE_FIELD_NAME - Static variable in class org.openml.weka.experiment.TaskResultProducer
 - SAMPLES - Variable in class org.openml.weka.algorithm.DataSplits
 - searchMedian(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate
 - serializeClassifier(OptionHandler, String[]) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 - setExperiment(Experiment) - Method in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - 
Sets the experiment to configure.
 - setExperiment(Experiment) - Method in class org.openml.weka.gui.TaskListPanel
 - 
Tells the panel to act on a new experiment.
 - setInstances(Instances) - Method in class org.openml.weka.experiment.TaskResultProducer
 - setModePanel(SetupModePanel) - Method in class org.openml.weka.gui.OpenmlSimpleSetupPanel
 - setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveUnusedClassValues
 - setTargetAttribute(Instances, String) - Static method in class org.openml.weka.algorithm.InstancesHelper
 - setTask(Task) - Method in class org.openml.weka.experiment.TaskResultProducer
 - setTasks(DefaultListModel<Task>) - Method in class org.openml.weka.experiment.TaskBasedExperiment
 - splitEvaluatorToMap(SplitEvaluator, Object[]) - Static method in class org.openml.weka.algorithm.WekaAlgorithm
 
T
- TASK_FIELD_NAME - Static variable in class org.openml.weka.experiment.TaskResultProducer
 - TaskBasedExperiment - Class in org.openml.weka.experiment
 - TaskBasedExperiment(Experiment, OpenmlConnector, WekaConfig) - Constructor for class org.openml.weka.experiment.TaskBasedExperiment
 - TaskListPanel - Class in org.openml.weka.gui
 - TaskListPanel(OpenmlConnector) - Constructor for class org.openml.weka.gui.TaskListPanel
 - TaskResultListener - Class in org.openml.weka.experiment
 - TaskResultListener(OpenmlConnector, WekaConfig) - Constructor for class org.openml.weka.experiment.TaskResultListener
 - TaskResultProducer - Class in org.openml.weka.experiment
 - TaskResultProducer(OpenmlConnector, WekaConfig) - Constructor for class org.openml.weka.experiment.TaskResultProducer
 - TaskResultProducer.UserMeasures - Class in org.openml.weka.experiment
 
U
- USER_MEASURES - Static variable in class org.openml.weka.experiment.TaskResultProducer
 
V
- valueOf(String) - Static method in enum org.openml.weka.algorithm.WekaParameterType
 - 
Returns the enum constant of this type with the specified name.
 - values() - Static method in enum org.openml.weka.algorithm.WekaParameterType
 - 
Returns an array containing the constants of this enum type, in the order they are declared.
 
W
- weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute
 - WekaAlgorithm - Class in org.openml.weka.algorithm
 - WekaAlgorithm() - Constructor for class org.openml.weka.algorithm.WekaAlgorithm
 - WekaConfig - Class in org.openml.weka.algorithm
 - WekaConfig() - Constructor for class org.openml.weka.algorithm.WekaConfig
 - WekaConfig(String) - Constructor for class org.openml.weka.algorithm.WekaConfig
 - WekaParameterType - Enum in org.openml.weka.algorithm
 
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