- add(Configuration) - Method in class autoweka.ConfigurationCollection
-
- add(Parameter) - Method in class autoweka.ParameterConditionalGroup
-
- add(Conditional) - Method in class autoweka.ParameterConditionalGroup
-
- addArgStrings() - Method in class autoweka.DefaultsExperimentConstructor
-
- addArgStrings() - Method in class autoweka.GridSearchExperimentConstructor
-
- addArgStrings() - Method in class autoweka.ListExperimentConstructor
-
- addGridSearchPoints(ClassParams) - Method in class autoweka.GridSearchExperimentConstructor
-
- addPoint(Trajectory.Point) - Method in class autoweka.Trajectory
-
Inserts a new point onto the end of this trajectory
- addTrajectory(Trajectory) - Method in class autoweka.TrajectoryGroup
-
- allowedClassifiers - Variable in class autoweka.Experiment
-
Forces Auto-WEKA to only use the list of classifiers here - if it is empty, then Auto-WEKA will try to use everything that it can
- allowedClassifiers - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
Forces Auto-WEKA to only use the list of classifiers here - if it is empty, then Auto-WEKA will try to use everything that it can
- ApplicabilityTester - Class in autoweka
-
Utility class for determining what kind of methods can be applied to a set of instances.
- ApplicabilityTester() - Constructor for class autoweka.ApplicabilityTester
-
- ApplicabilityTester.ApplicableClassifiers - Class in autoweka
-
- ApplicableClassifiers() - Constructor for class autoweka.ApplicabilityTester.ApplicableClassifiers
-
- AreaAboveROCMetric() - Constructor for class autoweka.ClassifierResult.AreaAboveROCMetric
-
- AreaUnderROCMetric() - Constructor for class autoweka.ClassifierResult.AreaUnderROCMetric
-
- argMap - Variable in class autoweka.WekaArgumentConverter.Arguments
-
Contains up to three elements, 'attributesearch' for all params related to the search process, 'attributeeval' for the evaluators, and 'classifier' which has all the arguments for the classifier
- argMapToString(Map<String, String>) - Static method in class autoweka.Util
-
Returns a string containing the arguments sorted by their name and joined together.
- as - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The chosen attribute selection method.
- asArrayList() - Method in class autoweka.ConfigurationCollection
-
- attributeEvalArgs - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- attributeEvalArgs - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The arguments of the chosen attribute evaluation method.
- attributeEvalClass - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- attributeEvalClass - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The class of the chosen attribute evaluation.
- attributeSearchArgs - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- attributeSearchArgs - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The arguments of the chosen attribute search method.
- attributeSearchClass - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- attributeSearchClass - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The class of the chosen attribute search method.
- attributeSelection - Variable in class autoweka.Experiment
-
Boolean indicating if Attribute/Feature selection should happen
- attributeSelection - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
Boolean indicating if Attribute/Feature selection should happen
- attributeSelectionTimeout - Variable in class autoweka.Experiment
-
How many seconds should be spent performing attribute selection?
- attributeSelectionTimeout - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
How many seconds should be spent performing attribute selection?
- autoweka - package autoweka
-
- autoweka.instancegenerators - package autoweka.instancegenerators
-
- autoweka.smac - package autoweka.smac
-
- autoweka.tools - package autoweka.tools
-
- AutoWEKAClassifier - Class in weka.classifiers.meta
-
Auto-WEKA interface for WEKA.
- AutoWEKAClassifier() - Constructor for class weka.classifiers.meta.AutoWEKAClassifier
-
Constructs a new AutoWEKAClassifier.
- AutoWEKAPanel - Class in weka.gui.explorer
-
This class provides a special, simple panel for Auto-WEKA in the Explorer.
- AutoWEKAPanel() - Constructor for class weka.gui.explorer.AutoWEKAPanel
-
Creates the Auto-WEKA panel.
- AvgCostMetric() - Constructor for class autoweka.ClassifierResult.AvgCostMetric
-
- aw - Variable in class weka.gui.explorer.AutoWEKAPanel
-
The Auto-WEKA classifier.
- callString - Variable in class autoweka.Experiment
-
The list of command line arguments that are used to invoke the SMBO method - this is set by the ExperimentConstructor
- cartesianProduct(List<List<String>>) - Static method in class autoweka.Util
-
Have a list of list of strings and need the Cartesian product? Look no further!
- categoricalInnards - Variable in class autoweka.Parameter
-
The list containing all the possible values of the parameter - only valid if type == CATEGORICAL
- cc - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The best configurations.
- child - Variable in class autoweka.InstanceGenerator.NestedArgs
-
- classifier - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The chosen classifier.
- classifierArgs - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- classifierArgs - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The arguments of the chosen classifier.
- classifierClass - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- classifierClass - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The class of the chosen classifier.
- ClassifierResult - Class in autoweka
-
Wraps all the data that comes from training a classifier so it can be passed back to a SMBO method
- ClassifierResult(String) - Constructor for class autoweka.ClassifierResult
-
- ClassifierResult(ClassifierResult.Metric) - Constructor for class autoweka.ClassifierResult
-
- ClassifierResult.AreaAboveROCMetric - Class in autoweka
-
- ClassifierResult.AreaUnderROCMetric - Class in autoweka
-
- ClassifierResult.AvgCostMetric - Class in autoweka
-
- ClassifierResult.CorrectMetric - Class in autoweka
-
- ClassifierResult.CorrelationCoefficientMetric - Class in autoweka
-
- ClassifierResult.ErrorRateMetric - Class in autoweka
-
- ClassifierResult.FalseNegativeRateMetric - Class in autoweka
-
- ClassifierResult.FalsePositiveRateMetric - Class in autoweka
-
- ClassifierResult.FMeasureMetric - Class in autoweka
-
- ClassifierResult.IncorrectMetric - Class in autoweka
-
- ClassifierResult.KappaMetric - Class in autoweka
-
- ClassifierResult.KBInformationMetric - Class in autoweka
-
- ClassifierResult.KBMeanInformationMetric - Class in autoweka
-
- ClassifierResult.KBRelativeInformationMetric - Class in autoweka
-
- ClassifierResult.MeanAbsoluteErrorMetric - Class in autoweka
-
- ClassifierResult.Metric - Interface in autoweka
-
Generic interface for different Metrics
You can define custom metrics and use them by using their full class name
- ClassifierResult.PctCorrectMetric - Class in autoweka
-
- ClassifierResult.PctIncorrectMetric - Class in autoweka
-
- ClassifierResult.PrecisionMetric - Class in autoweka
-
- ClassifierResult.RelativeAbsoluteErrorMetric - Class in autoweka
-
- ClassifierResult.RootMeanSquaredErrorMetric - Class in autoweka
-
- ClassifierResult.RootRelativeSquaredErrorMetric - Class in autoweka
-
- ClassifierResult.WeightedAreaUnderROCMetric - Class in autoweka
-
- ClassifierResult.WeightedFalseNegativeRateMetric - Class in autoweka
-
- ClassifierResult.WeightedFalsePositiveRateMetric - Class in autoweka
-
- ClassifierResult.WeightedFMeasureMetric - Class in autoweka
-
- ClassifierResult.WeightedPrecisionMetric - Class in autoweka
-
- ClassifierResult.WeightedRecallMetric - Class in autoweka
-
- ClassifierResult.WeightedTrueNegativeRateMetric - Class in autoweka
-
- ClassifierResult.WeightedTruePositiveRateMetric - Class in autoweka
-
- ClassifierRunner - Class in autoweka
-
Class that is responsible for actually running a WEKA classifier from start to finish using the Auto-WEKA argument format.
- ClassifierRunner(Properties) - Constructor for class autoweka.ClassifierRunner
-
Prepares a runner with the specified properties.
- ClassifierRunner.EvaluatorThread - Class in autoweka
-
- classifyInstance(Instance) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Calculates the class membership for the given test instance.
- ClassParams - Class in autoweka
-
Captures all the Parameters and Conditionals for a specific classifier that Auto-WEKA will search over
- ClassParams(String) - Constructor for class autoweka.ClassParams
-
Parses a given .param file to extract all the Parameter and Conditional objects
- compareTo(Object) - Method in class autoweka.Configuration
-
- Conditional - Class in autoweka
-
Simple struct that matains conditionality between params
- Conditional(String, HashMap<String, Parameter>) - Constructor for class autoweka.Conditional
-
- Conditional(Parameter, Parameter, String) - Constructor for class autoweka.Conditional
-
- Conditional(Parameter, Parameter, Collection<String>) - Constructor for class autoweka.Conditional
-
- Conditional(Parameter, Parameter, Conditional) - Constructor for class autoweka.Conditional
-
- Configuration - Class in autoweka
-
- Configuration() - Constructor for class autoweka.Configuration
-
- Configuration(List<String>) - Constructor for class autoweka.Configuration
-
- Configuration(String) - Constructor for class autoweka.Configuration
-
- ConfigurationCollection - Class in autoweka
-
- ConfigurationCollection() - Constructor for class autoweka.ConfigurationCollection
-
- ConfigurationCollection(List<Configuration>) - Constructor for class autoweka.ConfigurationCollection
-
- ConfigurationCollection(ArrayList<Configuration>) - Constructor for class autoweka.ConfigurationCollection
-
- configurationHashSetPath - Static variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The path for the log with the hashcodes for the configs we have
- configurationInfoDirPath - Static variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The path for the directory with the configuration data and score
- ConfigurationRanker - Class in autoweka
-
- ConfigurationRanker() - Constructor for class autoweka.ConfigurationRanker
-
- configurationRankingPath - Static variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The path for the sorted best configurations
- constructor - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
The class name of the ExperimentConstructor to use
- constructorArgs - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
Any additional arguments that the ExperimentConstructor may want
- convert(List<String>) - Static method in class autoweka.WekaArgumentConverter
-
Converts arguments from the Auto-WEKA format into something that WEKA can actually understand.
- copyFile(File, File) - Static method in class autoweka.Util
-
- CorrectMetric() - Constructor for class autoweka.ClassifierResult.CorrectMetric
-
- CorrelationCoefficientMetric() - Constructor for class autoweka.ClassifierResult.CorrelationCoefficientMetric
-
- create(String, String) - Static method in class autoweka.InstanceGenerator
-
Creates an instance of an InstanceGenerator given a class name and the datasetFileName
- create(String, Instances, Instances) - Static method in class autoweka.InstanceGenerator
-
Creates an instance of an InstanceGenerator given a class name, training data and the testing data
- createDummyInstances(int, int, int, int, int, int, int, int) - Static method in class autoweka.Util
-
Makes a simple real valued dataset of a given size, with the class determined by index
- createExperiment(ExperimentBatch.ExperimentComponent, ExperimentBatch.DatasetComponent) - Static method in class autoweka.ExperimentBatch
-
Builds an Experiment from an ExperimentComponent and a DatasetComponent
- createFromFolder(File) - Static method in class autoweka.Experiment
-
- CrossValidation - Class in autoweka.instancegenerators
-
Splits the training data up into CV folds with a given seed.
- CrossValidation(InstanceGenerator) - Constructor for class autoweka.instancegenerators.CrossValidation
-
- CrossValidation(String) - Constructor for class autoweka.instancegenerators.CrossValidation
-
- CrossValidation(Instances, Instances) - Constructor for class autoweka.instancegenerators.CrossValidation
-
- current - Variable in class autoweka.InstanceGenerator.NestedArgs
-
- enableOutput() - Method in class autoweka.ClassifierRunner
-
- ensemble - Variable in class autoweka.ApplicabilityTester.ApplicableClassifiers
-
- enumerateMeasures() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns an enumeration of the additional measure names
- envVariables - Variable in class autoweka.Experiment
-
A list of var=values that are set in environment variables before the SMBO method is executed - these are set by the ExperimentConstructor
- error - Variable in class autoweka.SubProcessWrapper.ErrorAndTime
-
- error - Variable in class autoweka.Trajectory.Point.SpecificInstanceInfo
-
- ErrorAndTime(float, float) - Constructor for class autoweka.SubProcessWrapper.ErrorAndTime
-
- errorEstimate - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- ErrorRateMetric() - Constructor for class autoweka.ClassifierResult.ErrorRateMetric
-
- estimatedMetricValue - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The estimated metric value of the method chosen out of the parallel runs.
- estimatedMetricValues - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The estimated metric values of the chosen methods for each parallel run.
- eval - Variable in class autoweka.tools.TrainedModelPredictionMaker
-
- eval - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The evaluation for the best classifier.
- evaluateClassifierOnTesting(AbstractClassifier, String, String, float) - Method in class autoweka.ClassifierRunner
-
- EvaluatorThread(Evaluation, AbstractClassifier, Instances) - Constructor for class autoweka.ClassifierRunner.EvaluatorThread
-
- EvaluatorThread(Evaluation, AbstractClassifier, Instances, String) - Constructor for class autoweka.ClassifierRunner.EvaluatorThread
-
- expandEnvironmentVariable(String) - Static method in class autoweka.Util
-
Tries to evaluate the environment variable into something useful.
- expandPath(String) - Static method in class autoweka.Util
-
Tries to resolve any relative paths/symlinks on a given path.
- Experiment - Class in autoweka
-
- Experiment() - Constructor for class autoweka.Experiment
-
- experiment - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- Experiment.TrajectoryPointExtra - Class in autoweka
-
Class capturing any of the extra dataset partitions that should be run on all the trajectory points for analysis
- ExperimentBatch - Class in autoweka
-
Helpful XML class that easily allows for the creation of multiple experiments.
- ExperimentBatch() - Constructor for class autoweka.ExperimentBatch
-
- ExperimentBatch.DatasetComponent - Class in autoweka
-
Enscapsulates a dataset that you want to run experiments on
- ExperimentBatch.ExperimentComponent - Class in autoweka
-
Captures all the settings of an experiment that are not related to a dataset
- ExperimentComponent() - Constructor for class autoweka.ExperimentBatch.ExperimentComponent
-
- ExperimentConstructor - Class in autoweka
-
Abstract class responsible for generating all the necessary stuff to run an Auto-WEKA Experiment.
- ExperimentConstructor() - Constructor for class autoweka.ExperimentConstructor
-
- expName - Static variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The internal name of the experiment.
- extraArgs - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The extra arguments for Auto-WEKA.
- extraProps - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
The property string with any extra properties that the experiment might need
- extraPropsString - Variable in class autoweka.Experiment
-
Any extra properties that are associated with the experiment, these are generally for the constructor or your wrappers
- generateAlgorithmParameterConditionalGroupForDAG() - Method in class autoweka.ExperimentConstructor
-
Populates a ParameterConditionalGroup with all the params/conditionals that are needed for
optimization methods that support a DAG structure
- generateBatches(String) - Static method in class autoweka.ExperimentConstructor
-
- generateBatches(String) - Static method in class autoweka.ListExperimentConstructor
-
- get(int) - Method in class autoweka.ConfigurationCollection
-
- getAbsoluteClasspath() - Static method in class autoweka.Util
-
- getAllInstanceFeatures(String) - Method in class autoweka.InstanceGenerator
-
Some SMBO methods can leverage extra features about an Instance, this method should return a map of feature/value pairs for all instances
- getAllInstanceFeatures(String) - Method in class autoweka.instancegenerators.MultiLevel
-
- getAllInstanceFeatures(String) - Method in class autoweka.instancegenerators.TerminationHoldout
-
- getAllInstanceStrings(String) - Method in class autoweka.InstanceGenerator
-
Gets a list of all the 'params' Strings that can be used with this InstanceGenerator.
- getAllInstanceStrings(String) - Method in class autoweka.instancegenerators.CrossValidation
-
- getAllInstanceStrings(String) - Method in class autoweka.instancegenerators.Default
-
- getAllInstanceStrings(String) - Method in class autoweka.instancegenerators.MultiLevel
-
- getAllInstanceStrings(String) - Method in class autoweka.instancegenerators.RandomSubSampling
-
- getAllInstanceStrings(String) - Method in class autoweka.instancegenerators.TerminationHoldout
-
- getAmtFolds() - Method in class autoweka.Configuration
-
- getApplicableAttributeEvaluators(Instances, String) - Static method in class autoweka.ApplicabilityTester
-
Looks inside a folder for .param files that are WEKA ASEvals
- getApplicableAttributeSearchers(Instances, String) - Static method in class autoweka.ApplicabilityTester
-
Looks inside a folder for .param files that are WEKA ASSearches
- getApplicableClassifiers(Instances, String, List<String>) - Static method in class autoweka.ApplicabilityTester
-
Looks inside a folder for .param files that are WEKA classifiers (base, meta and ensemble)
- getArgs() - Method in class autoweka.Trajectory.Point
-
- getArgStrings() - Method in class autoweka.Configuration
-
- getAttributeSelection() - Method in class autoweka.ClassifierResult
-
- getAttributeSelectionTime() - Method in class autoweka.ClassifierResult
-
- getAutoWekaDistributionPath() - Static method in class autoweka.Util
-
- getAverageScore() - Method in class autoweka.Configuration
-
- GetBestFromTrajectoryGroup - Class in autoweka.tools
-
- GetBestFromTrajectoryGroup(String) - Constructor for class autoweka.tools.GetBestFromTrajectoryGroup
-
- GetBestFromTrajectoryGroup(TrajectoryGroup) - Constructor for class autoweka.tools.GetBestFromTrajectoryGroup
-
- getCallString(String) - Method in class autoweka.ExperimentConstructor
-
Gets the set of strings that are called on the command line to invoke the SMBO method
- getCallString(String) - Method in class autoweka.smac.SMACExperimentConstructor
-
- getCapabilities() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns default capabilities of the classifier.
- getClassifier() - Method in class autoweka.ClassifierResult
-
- getCompleted() - Method in class autoweka.ClassifierResult
-
- getConditionals() - Method in class autoweka.ClassParams
-
Gets the list of all conditionals for this class.
- getConditionalsForParameter(Parameter) - Method in class autoweka.ParameterConditionalGroup
-
- getConditionalsForParameter(String) - Method in class autoweka.ParameterConditionalGroup
-
- getDatasetString() - Method in class autoweka.ExperimentBatch.DatasetComponent
-
Gets the dataset string out of this component
- getDefault() - Method in class autoweka.ClassifierResult.AreaAboveROCMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.AreaUnderROCMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.AvgCostMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.CorrectMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.CorrelationCoefficientMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.ErrorRateMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.FalseNegativeRateMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.FalsePositiveRateMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.FMeasureMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.IncorrectMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.KappaMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.KBInformationMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.KBMeanInformationMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.KBRelativeInformationMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.MeanAbsoluteErrorMetric
-
- getDefault() - Method in interface autoweka.ClassifierResult.Metric
-
- getDefault() - Method in class autoweka.ClassifierResult.PctCorrectMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.PctIncorrectMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.PrecisionMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.RelativeAbsoluteErrorMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.RootMeanSquaredErrorMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.RootRelativeSquaredErrorMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedAreaUnderROCMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedFalseNegativeRateMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedFalsePositiveRateMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedFMeasureMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedPrecisionMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedRecallMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedTrueNegativeRateMetric
-
- getDefault() - Method in class autoweka.ClassifierResult.WeightedTruePositiveRateMetric
-
- getDescription() - Method in class autoweka.ClassifierResult
-
- getDiscretization(int) - Method in class autoweka.Parameter
-
Creates a List of Strings that contain the discretization of this parameter.
- getEnvVariables() - Method in class autoweka.ExperimentConstructor
-
Gets a list of all the environment variables that need to be set for this experiment to run
- getErrorAndTime(File, ListExperiment, String, String, String) - Static method in class autoweka.SubProcessWrapper
-
- getErrorAndTime(File, ListExperiment, String, String, String, Properties) - Static method in class autoweka.SubProcessWrapper
-
- getErrorAndTime(File, Experiment, String, String, String) - Static method in class autoweka.SubProcessWrapper
-
- getErrorAndTime(File, Experiment, String, String, String, Properties) - Static method in class autoweka.SubProcessWrapper
-
- getErrorAndTime(File, String, Properties, float, String, String, String) - Static method in class autoweka.SubProcessWrapper
-
Calls the SubProcessWrapper as a SubProcess, and returns the result back up to the caller.
- getErrorEstimate() - Method in class autoweka.Trajectory.Point
-
- getEvaluatedFold() - Method in class autoweka.Configuration
-
- getEvaluatedScore() - Method in class autoweka.Configuration
-
- getEvaluationTime() - Method in class autoweka.ClassifierResult
-
- getExperiment() - Method in class autoweka.TrajectoryGroup
-
- getExplorer() - Method in class weka.gui.explorer.AutoWEKAPanel
-
returns the parent Explorer frame.
- getFolds() - Method in class autoweka.Configuration
-
- getFullyEvaluatedAmt() - Method in class autoweka.ConfigurationCollection
-
- getInstanceGenerator() - Method in class autoweka.ClassifierRunner
-
- getInstances(boolean, Properties) - Method in class autoweka.instancegenerators.CrossValidation
-
- getInstances(Instances, Resample) - Method in class autoweka.instancegenerators.RandomSubSampling
-
- getJavaExecutable() - Static method in class autoweka.Util
-
Tries to get the full path to the Java Executable that we're running.
- getLastPoint() - Method in class autoweka.Trajectory
-
Gets the last point in the trajectory, ie the best one
- getMeasure(String) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the value of the named measure
- getMemLimit() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Get the memory limit.
- getMemOut() - Method in class autoweka.ClassifierResult
-
- getMetric() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Get the metric.
- getnBestConfigs() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Get the memory limit.
- getNextPoint(double) - Method in class autoweka.Trajectory
-
Gets the next point in the trajectory after the given time
- getNormalizationPenalty() - Method in class autoweka.ClassifierResult
-
- getNumEvaluations() - Method in class autoweka.Trajectory
-
Gets the total number of evaluations that were performed
- getNumMemOutEvaluations() - Method in class autoweka.Trajectory
-
Gets the number of evaluations that hit the memory limit (-1 if not recorded)
- getNumTimedOutEvaluations() - Method in class autoweka.Trajectory
-
Gets the number of evaluations that timed out (-1 if not recorded)
- getOpName() - Method in class autoweka.ClassifierRunner.EvaluatorThread
-
- getOptions() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the options of the current setup.
- getParallelRuns() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Get the number of runs to do in parallel.
- getParameter(String) - Method in class autoweka.ParameterConditionalGroup
-
- getParameterMap() - Method in class autoweka.ClassParams
-
Gets a map between the parameter names and the actual parameters for this class
- getParameters() - Method in class autoweka.ClassParams
-
Gets the list of all parameters for this class.
- getParameters() - Method in class autoweka.ParameterConditionalGroup
-
- getPercentEvaluated() - Method in class autoweka.ClassifierResult
-
- getPointAtTime(double) - Method in class autoweka.Trajectory
-
Gets the point in the trajectory that's closest to this time
- getPoints() - Method in class autoweka.Trajectory
-
Gets all the points inside this trajectory
- getPrefix(String) - Method in class autoweka.ExperimentConstructor
-
Gets a prefix out of the classifier name by stripping all the packages and capital letters - needed to ensure that parameters with the same WEKA name don't collide.
- getRandomValue(Random) - Method in class autoweka.Parameter
-
- getRawScore() - Method in class autoweka.ClassifierResult
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.AreaAboveROCMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.AreaUnderROCMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.AvgCostMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.CorrectMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.CorrelationCoefficientMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.ErrorRateMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.FalseNegativeRateMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.FalsePositiveRateMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.FMeasureMetric
-
- getScore() - Method in class autoweka.ClassifierResult
-
Gets the 'score' for this result, which includes the regularization penalty plus the metric value
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.IncorrectMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.KappaMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.KBInformationMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.KBMeanInformationMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.KBRelativeInformationMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.MeanAbsoluteErrorMetric
-
- getScore(Evaluation, Instances) - Method in interface autoweka.ClassifierResult.Metric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.PctCorrectMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.PctIncorrectMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.PrecisionMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.RelativeAbsoluteErrorMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.RootMeanSquaredErrorMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.RootRelativeSquaredErrorMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedAreaUnderROCMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedFalseNegativeRateMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedFalsePositiveRateMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedFMeasureMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedPrecisionMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedRecallMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedTrueNegativeRateMetric
-
- getScore(Evaluation, Instances) - Method in class autoweka.ClassifierResult.WeightedTruePositiveRateMetric
-
- getScores() - Method in class autoweka.Configuration
-
- getSeed() - Method in class autoweka.Trajectory
-
Gets the seed for this trajectory
- getSeed() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Get the random seed.
- getSeeds() - Method in class autoweka.TrajectoryGroup
-
- getTabTitle() - Method in class weka.gui.explorer.AutoWEKAPanel
-
Returns the title for the tab in the Explorer.
- getTabTitleToolTip() - Method in class weka.gui.explorer.AutoWEKAPanel
-
Returns the tooltip for the tab in the Explorer.
- getTargetClass() - Method in class autoweka.ClassParams
-
Gets the canonical name of the class that these parameters capture.
- getTechnicalInformation() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTesting() - Method in class autoweka.InstanceGenerator
-
Gets a copy of the testing data
- getTestingFromParams(String) - Method in class autoweka.InstanceGenerator
-
Given a parameter string (generally in the form of a property string), get the testing data; if params is 'default', then this method returns the raw testing data
- getTime() - Method in class autoweka.ClassifierResult
-
Gets the total time spent dealing with this classifier
- getTime() - Method in class autoweka.Trajectory.Point
-
- getTimeLimit() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Get the time limit.
- getTraining() - Method in class autoweka.InstanceGenerator
-
Gets a copy of the training data
- getTrainingFromParams(String) - Method in class autoweka.InstanceGenerator
-
Given a parameter string (generally in the form of a property string), get the training data; if params is 'default', then this method returns the raw training data
- getTrainingTime() - Method in class autoweka.ClassifierResult
-
- getTrajectories() - Method in class autoweka.TrajectoryGroup
-
- getTrajectory(String) - Method in class autoweka.TrajectoryGroup
-
- getTrajectory(Experiment, File, String) - Static method in class autoweka.TrajectoryParser
-
- getTrajectoryParserClassName() - Method in class autoweka.ExperimentConstructor
-
Gets the name of the class that is used to parse the results of the SMBO method into a Trajectory
- getTrajectoryParserClassName() - Method in class autoweka.smac.SMACExperimentConstructor
-
- getType() - Method in class autoweka.ExperimentConstructor
-
Get a string indicating the type of this Experiment (namely the name of the SMBO method)
- getType() - Method in class autoweka.smac.SMACExperimentConstructor
-
- getWrapperPropString() - Method in class autoweka.ExperimentConstructor
-
- globalInfo() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
This will return a string describing the classifier.
- GridSearchExperimentConstructor - Class in autoweka
-
Creates a ListExperiment that does a grid search over the allowable classifiers
- GridSearchExperimentConstructor() - Constructor for class autoweka.GridSearchExperimentConstructor
-
- m_CEPanel - Variable in class weka.gui.explorer.AutoWEKAPanel
-
The panel showing the current classifier selection.
- m_ClassCombo - Variable in class weka.gui.explorer.AutoWEKAPanel
-
Lets the user select the class column.
- m_ClassifierEditor - Variable in class weka.gui.explorer.AutoWEKAPanel
-
Lets the user configure the classifier.
- m_Explorer - Variable in class weka.gui.explorer.AutoWEKAPanel
-
the parent frame.
- m_History - Variable in class weka.gui.explorer.AutoWEKAPanel
-
A panel controlling results viewing.
- m_Instances - Variable in class weka.gui.explorer.AutoWEKAPanel
-
The main set of instances we're playing with.
- m_Log - Variable in class weka.gui.explorer.AutoWEKAPanel
-
The destination for log/status messages.
- m_ManualBut - Variable in class weka.gui.explorer.AutoWEKAPanel
-
Click to download manual.
- m_OutText - Variable in class weka.gui.explorer.AutoWEKAPanel
-
The output area for classification results.
- m_RunThread - Variable in class weka.gui.explorer.AutoWEKAPanel
-
A thread that classification runs in.
- m_SaveOut - Variable in class weka.gui.explorer.AutoWEKAPanel
-
The buffer saving object for saving output.
- m_StartBut - Variable in class weka.gui.explorer.AutoWEKAPanel
-
Click to start running the experiment.
- m_StopBut - Variable in class weka.gui.explorer.AutoWEKAPanel
-
Click to stop a running experiment.
- main(String[]) - Static method in class autoweka.Experiment
-
Main method to actually run an experiment with a given seed.
- main(String[]) - Static method in class autoweka.ExperimentBatch
-
Makes an empty batch file that you can fill in with stuff
- main(String[]) - Static method in class autoweka.ExperimentConstructor
-
Main method that can either take stuff on the command line to build a single experiment, or points to an ExperimentBatch XML file.
- main(String[]) - Static method in class autoweka.ListExperimentConstructor
-
- main(String[]) - Static method in class autoweka.smac.MultiInstanceWrapper
-
- main(String[]) - Static method in class autoweka.smac.SMACWrapper
-
- main(String[]) - Static method in class autoweka.SubProcessWrapper
-
Calls the SubProcessWrapper using the given arguments
- main(String[]) - Static method in class autoweka.tools.GetBestFromTrajectoryGroup
-
Point this main method at a .trajectory file, and be presented with what you should actually run your dataset on.
- main(String[]) - Static method in class autoweka.tools.TrainedModelPredictionMaker
-
- main(String[]) - Static method in class autoweka.TrajectoryMerger
-
- main(String[]) - Static method in class autoweka.TrajectoryParser
-
- main(String[]) - Static method in class autoweka.TrajectoryPointExtraRunner
-
- main(String[]) - Static method in class autoweka.TrajectoryPointPredictionRunner
-
- main(String[]) - Static method in class weka.classifiers.meta.AutoWEKAClassifier
-
Main method for testing this class.
- main(String[]) - Static method in class weka.gui.explorer.AutoWEKAPanel
-
Tests out the Auto-WEKA panel from the command line.
- makePath(String) - Static method in class autoweka.Util
-
Makes folders along the specified path.
- mAllowedClassifiers - Variable in class autoweka.ExperimentConstructor
-
List containing what classifiers are allowed to be used by this experiment
- mArgs - Variable in class autoweka.Trajectory.Point
-
The arg string that was used for the wrapper on this trajectory point
- mAttribEvalClassParams - Variable in class autoweka.ExperimentConstructor
-
- mAttribSearchClassParams - Variable in class autoweka.ExperimentConstructor
-
- maxNumeric - Variable in class autoweka.Parameter
-
The maximal numeric value - Stored as a float but will be converted to an int if needed
- mBaseClassParams - Variable in class autoweka.ExperimentConstructor
-
- mClassifierParams - Variable in class autoweka.ListExperimentConstructor
-
- mDatasets - Variable in class autoweka.ExperimentBatch
-
The list of datasets in this batch
- MeanAbsoluteErrorMetric() - Constructor for class autoweka.ClassifierResult.MeanAbsoluteErrorMetric
-
- measureEstimatedMetricValue() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the metric value estimated during Auto-WEKA's internal evaluation.
- memLimit - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The memory limit for running classifiers.
- memLimitTipText() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the tip text for this property.
- memory - Variable in class autoweka.Experiment
-
The string passed to the Xmx argument of a sub process limiting the RAM that WEKA will have
- memory - Variable in class autoweka.ExperimentBatch.ExperimentComponent
-
The string passed to the Xmx argument of a sub process limiting the RAM that WEKA will have
- mEnsembleClassParams - Variable in class autoweka.ExperimentConstructor
-
- mEnsembleMaxNum - Variable in class autoweka.ExperimentConstructor
-
How deep should the ensemble tree go?
- mergeExperimentFolder(String) - Static method in class autoweka.TrajectoryMerger
-
- mergeWith(Configuration) - Method in class autoweka.Configuration
-
- mErrorEstimate - Variable in class autoweka.Trajectory.Point
-
The estimate of the error at this point in the trajectory that the SMBO method believes is true
- meta - Variable in class autoweka.ApplicabilityTester.ApplicableClassifiers
-
- metric - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The error metric.
- metricTipText() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the tip text for this property.
- mExperiment - Variable in class autoweka.ExperimentConstructor
-
The active Experiment that we're trying to build
- mExperiment - Variable in class autoweka.ListExperimentConstructor
-
- mExperimentPath - Variable in class autoweka.ExperimentConstructor
-
The output path for the experiments
- mExperimentPath - Variable in class autoweka.ListExperimentConstructor
-
- mExperiments - Variable in class autoweka.ExperimentBatch
-
The list of experiment prototypes in this batch
- mExperimentSeed - Variable in class autoweka.Wrapper
-
- mIncludeBase - Variable in class autoweka.ExperimentConstructor
-
- mIncludeBase - Variable in class autoweka.ListExperimentConstructor
-
- mIncludeEnsemble - Variable in class autoweka.ExperimentConstructor
-
- mIncludeEnsemble - Variable in class autoweka.ListExperimentConstructor
-
- mIncludeMeta - Variable in class autoweka.ExperimentConstructor
-
- mIncludeMeta - Variable in class autoweka.ListExperimentConstructor
-
- minNumeric - Variable in class autoweka.Parameter
-
The minimal numeric value - Stored as a float but will be converted to an int if needed
- mInstance - Variable in class autoweka.Wrapper
-
- mInstanceGenerator - Variable in class autoweka.ExperimentConstructor
-
The instance generator we're using, all loaded up and ready to go with the appropriate dataset
- mInstanceGenerator - Variable in class autoweka.ListExperimentConstructor
-
- mMetaClassParams - Variable in class autoweka.ExperimentConstructor
-
- mParamBaseDir - Variable in class autoweka.ExperimentConstructor
-
The directory with all the param files in it.
- mParamBaseDir - Variable in class autoweka.ListExperimentConstructor
-
- mParams - Variable in class autoweka.smac.MultiInstanceWrapper
-
- mProperties - Variable in class autoweka.ExperimentConstructor
-
Properties associated with our constructor.
- mProperties - Variable in class autoweka.ListExperimentConstructor
-
- mProperties - Variable in class autoweka.Wrapper
-
- mResultMetric - Variable in class autoweka.Wrapper
-
- mRunner - Variable in class autoweka.Wrapper
-
- msExperimentPaths - Static variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The paths to the internal Auto-WEKA files.
- mTime - Variable in class autoweka.Trajectory.Point
-
The time that this point was found by the SMBO method
- mTimeout - Variable in class autoweka.Wrapper
-
- mTrajectoryPointExtras - Variable in class autoweka.ListExperimentConstructor
-
- MultiInstanceWrapper - Class in autoweka.smac
-
- MultiInstanceWrapper() - Constructor for class autoweka.smac.MultiInstanceWrapper
-
- MultiLevel - Class in autoweka.instancegenerators
-
Experimental InstanceGenerator that takes as input a child classifier, and creates multiple levels of training data.
- MultiLevel(String) - Constructor for class autoweka.instancegenerators.MultiLevel
-
- MultiLevel(InstanceGenerator) - Constructor for class autoweka.instancegenerators.MultiLevel
-
- MultiLevel(Instances, Instances) - Constructor for class autoweka.instancegenerators.MultiLevel
-
- parallelRuns - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The number of parallel threads.
- parallelRunsTipText() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the tip text for this property.
- parameter - Variable in class autoweka.Conditional
-
The name of the 'child' parameter that is conditional on the parent taking on a particular value
(This class encodes the condition from the child param's perspective.
- Parameter - Class in autoweka
-
Captures all the data about if this parameter is categorical, numeric (and what the ranges are), and some other helper functions to get some data out of them
- Parameter(String) - Constructor for class autoweka.Parameter
-
Creates a Parameter from a given line in a .param file.
- Parameter(String, String) - Constructor for class autoweka.Parameter
-
- Parameter(String, List<String>) - Constructor for class autoweka.Parameter
-
- Parameter(String, List<String>, String) - Constructor for class autoweka.Parameter
-
- Parameter(String, Parameter) - Constructor for class autoweka.Parameter
-
- Parameter.ParamType - Enum in autoweka
-
- ParameterConditionalGroup - Class in autoweka
-
- ParameterConditionalGroup() - Constructor for class autoweka.ParameterConditionalGroup
-
- parent - Variable in class autoweka.Conditional
-
The name of the parameter that the child is conditional on
- parseCommandLineProperties(Properties, String[]) - Static method in class autoweka.Util
-
Looks for command line arguments of the form -prop PROPERTYSTRING and adds them to the given properties object
- parseCommandLineProperties(Properties, List<String>) - Static method in class autoweka.Util
-
Looks for command line arguments of the form -prop PROPERTYSTRING and adds them to the given properties object
- parsePropertyString(String) - Static method in class autoweka.Util
-
Given a property string (var1=val1:var2=val2:....) convert it to a property object.
- parsePropertyString(Properties, String) - Static method in class autoweka.Util
-
Given a property string (var1=val1:var2=val2:....) convert it to a property object.
- parseTrajectory(Experiment, File, String) - Method in class autoweka.smac.SMACTrajectoryParser
-
- parseTrajectory(Experiment, File, String) - Method in class autoweka.TrajectoryParser
-
- PctCorrectMetric() - Constructor for class autoweka.ClassifierResult.PctCorrectMetric
-
- PctIncorrectMetric() - Constructor for class autoweka.ClassifierResult.PctIncorrectMetric
-
- Point(double, double, String) - Constructor for class autoweka.Trajectory.Point
-
- populateObjectFromCMDParams(Object, String[]) - Static method in class autoweka.XmlSerializable
-
Given a list of command line arguments which have the same name as the XML nodes, populate me an object with the values filled in
- populateObjectFromCMDParams(Object, Deque<String>) - Static method in class autoweka.XmlSerializable
-
Given a list of command line arguments which have the same name as the XML nodes, populate me an object with the values filled in
- PrecisionMetric() - Constructor for class autoweka.ClassifierResult.PrecisionMetric
-
- prepareExperiment(String) - Method in class autoweka.ExperimentConstructor
-
Subclasses must provide this method which is responsible for
- prepareExperiment(String) - Method in class autoweka.smac.SMACExperimentConstructor
-
- printFeatureFile(PrintStream) - Method in class autoweka.smac.SMACExperimentConstructor
-
- printInstanceFile(PrintStream) - Method in class autoweka.smac.SMACExperimentConstructor
-
- printParamFile(PrintStream) - Method in class autoweka.smac.SMACExperimentConstructor
-
- printScenarioFile(PrintStream) - Method in class autoweka.smac.SMACExperimentConstructor
-
- printTestInstanceFile(PrintStream) - Method in class autoweka.smac.SMACExperimentConstructor
-
- processArg(String, Queue<String>) - Method in class autoweka.ExperimentConstructor
-
Process a constructor argument, and suck out stuff from the arg queue
- processArg(String, Queue<String>) - Method in class autoweka.GridSearchExperimentConstructor
-
- processArg(String, Queue<String>) - Method in class autoweka.ListExperimentConstructor
-
- ProcessKillerShutdownHook(Process) - Constructor for class autoweka.Util.ProcessKillerShutdownHook
-
- propertiesToString(Properties) - Static method in class autoweka.Util
-
Converts a Properties object to a property string, escaping ':' as needed
- propertyMap - Variable in class autoweka.WekaArgumentConverter.Arguments
-
Contains a bunch of properties like the 'targetclass', 'attributeeval', 'attributesearch', and 'attributetime'
- saveBuffer(String) - Method in class weka.gui.explorer.AutoWEKAPanel
-
Save the currently selected experiment output to a file.
- saveConfiguration(ClassifierResult, List<String>, String) - Method in class autoweka.ClassifierRunner
-
- seed - Variable in class autoweka.tools.GetBestFromTrajectoryGroup
-
- seed - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The random seed.
- seedTipText() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the tip text for this property.
- setAttributeSelection(AttributeSelection) - Method in class autoweka.ClassifierResult
-
- setAttributeSelectionTime(double) - Method in class autoweka.ClassifierResult
-
- setClassifier(AbstractClassifier) - Method in class autoweka.ClassifierResult
-
- setCompleted(boolean) - Method in class autoweka.ClassifierResult
-
- setEvaluationCounts(int, int, int) - Method in class autoweka.Trajectory
-
Set all the statistics regarding the number of evaluations performed for this trajectory
- setEvaluationTime(double) - Method in class autoweka.ClassifierResult
-
- setEvaluationValues(double, int) - Method in class autoweka.Configuration
-
- setExplorer(Explorer) - Method in class weka.gui.explorer.AutoWEKAPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data).
- setFoldId(int) - Method in class autoweka.Configuration
-
- setInstances(Instances) - Method in class weka.gui.explorer.AutoWEKAPanel
-
Tells the panel to use a new set of instances.
- setLog(Logger) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the WEKA logger.
- setLog(Logger) - Method in class weka.gui.explorer.AutoWEKAPanel
-
Sets the Logger to receive informational messages.
- setMemLimit(int) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the memory limit.
- setMemOut(boolean) - Method in class autoweka.ClassifierResult
-
- setMetric(AutoWEKAClassifier.Metric) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the metric.
- setnBestConfigs(int) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the amount of configurations that will be given as output
- setOptions(String[]) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the options for the current setup.
- setParallelRuns(int) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the number of parallel runs.
- setPercentEvaluated(Evaluation) - Method in class autoweka.ClassifierResult
-
- setPercentEvaluated(double) - Method in class autoweka.ClassifierResult
-
- setRegularizationPenalty(double) - Method in class autoweka.ClassifierResult
-
- setScore(double) - Method in class autoweka.Configuration
-
- setScoreFromEval(Evaluation, Instances) - Method in class autoweka.ClassifierResult
-
- setSeed(int) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the random seed.
- setTimeLimit(int) - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Set the time limit.
- setTrainingTime(double) - Method in class autoweka.ClassifierResult
-
- setTrainTestArff(String, String) - Method in class autoweka.ExperimentBatch.DatasetComponent
-
- showPopup(String, int, int) - Method in class weka.gui.explorer.AutoWEKAPanel
-
Handles constructing a popup menu with visualization options.
- size() - Method in class autoweka.ConfigurationCollection
-
- SMACExperimentConstructor - Class in autoweka.smac
-
- SMACExperimentConstructor() - Constructor for class autoweka.smac.SMACExperimentConstructor
-
- SMACTrajectoryParser - Class in autoweka.smac
-
- SMACTrajectoryParser() - Constructor for class autoweka.smac.SMACTrajectoryParser
-
- SMACWrapper - Class in autoweka.smac
-
- SMACWrapper() - Constructor for class autoweka.smac.SMACWrapper
-
- specificInstanceInfo - Variable in class autoweka.Trajectory.Point
-
Any extra data (aka trajectoryPointExtras) on given instance strings for this point
- SpecificInstanceInfo() - Constructor for class autoweka.Trajectory.Point.SpecificInstanceInfo
-
- SpecificInstanceInfo(String, String, double, double) - Constructor for class autoweka.Trajectory.Point.SpecificInstanceInfo
-
- splitNestedString(String, String, int, int) - Static method in class autoweka.Util
-
Splits a string, returning the string separated by the delimiter, with only the numLeft and numRight taken from the appropriate sides.
- splitQuotedString(String) - Static method in class autoweka.Util
-
Splits a string based on spaces, grouping atoms if they are inside non escaped double quotes.
- startAutoWEKA() - Method in class weka.gui.explorer.AutoWEKAPanel
-
Starts Auto-WEKA.
- stopAutoWEKA() - Method in class weka.gui.explorer.AutoWEKAPanel
-
Stops the currently running Auto-WEKA (if any).
- SubProcessWrapper - Class in autoweka
-
An implementation of a Wrapper that should ideally just be called from other Java objects - it performes the training/evaluation of a classifier on a sub process to preserve the JVM of the caller
- SubProcessWrapper() - Constructor for class autoweka.SubProcessWrapper
-
- SubProcessWrapper.ErrorAndTime - Class in autoweka
-
Small class that just encapsulates the error and time of a sub process run
TODO: Should really be changed to use a ClassifierResult instead
- TerminationHoldout - Class in autoweka.instancegenerators
-
Experimental InstanceGenerator that takes as input a child classifier, and holds back a bunch of data as a 'Termination' set from the SMBO methods.
- TerminationHoldout(String) - Constructor for class autoweka.instancegenerators.TerminationHoldout
-
- time - Variable in class autoweka.SubProcessWrapper.ErrorAndTime
-
- time - Variable in class autoweka.Trajectory.Point.SpecificInstanceInfo
-
- timeLimit - Variable in class weka.classifiers.meta.AutoWEKAClassifier
-
The time limit for running Auto-WEKA.
- timeLimitTipText() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
Returns the tip text for this property.
- toString() - Method in class autoweka.Conditional
-
- toString() - Method in class autoweka.Configuration
-
- toString() - Method in class autoweka.InstanceGenerator.NestedArgs
-
- toString() - Method in class autoweka.Parameter
-
- toString() - Method in class autoweka.Trajectory.Point
-
- toString() - Method in class autoweka.Trajectory
-
- toString() - Method in class autoweka.WekaArgumentConverter.Arguments
-
- toString() - Method in class weka.classifiers.meta.AutoWEKAClassifier
-
This will return a string describing the classifier.
- toXML(String) - Method in class autoweka.XmlSerializable
-
Spits out the class to the given XML file
- toXML(OutputStream) - Method in class autoweka.XmlSerializable
-
Spits out the class to the given XML file
- TrainedModelPredictionMaker - Class in autoweka.tools
-
- TrainedModelPredictionMaker(String, String, String, String, String) - Constructor for class autoweka.tools.TrainedModelPredictionMaker
-
- trainTimeout - Variable in class autoweka.Experiment
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How many seconds should be spent training a set of hyperparameters on a specific partition of the training and test data?.
- trainTimeout - Variable in class autoweka.ExperimentBatch.ExperimentComponent
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How many seconds should be spent training a set of hyperparameters on a specific partition of the training and test data?.
- Trajectory - Class in autoweka
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Class that captures a trajectory of an optimisation run
- Trajectory(String) - Constructor for class autoweka.Trajectory
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makes a new empty trajectory with the given seed
- Trajectory.Point - Class in autoweka
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Representation of a single point along the optimisation run
- Trajectory.Point.SpecificInstanceInfo - Class in autoweka
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Class used to store this extra data
- TrajectoryGroup - Class in autoweka
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Wrapper class that provides a nice way to get at a bunch of trajectories from an experiment run with different seeds
- TrajectoryGroup() - Constructor for class autoweka.TrajectoryGroup
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- TrajectoryGroup(Experiment) - Constructor for class autoweka.TrajectoryGroup
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- TrajectoryMerger - Class in autoweka
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Given a bunch of folders that have experiments in them, merges all the trajectories into a single file for easy analysis
- TrajectoryMerger() - Constructor for class autoweka.TrajectoryMerger
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- TrajectoryParser - Class in autoweka
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Abstract class that SMBO Methods must provide that allows for trajectories to be extracted after a run has completed
- TrajectoryParser() - Constructor for class autoweka.TrajectoryParser
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Call this on a specific experiment to automatically create the correct trajectory parser that will
be used to extract the data
- trajectoryParserClassName - Variable in class autoweka.Experiment
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The name of the class that's going to be used to parse the trajectory - this is set by the ExperimentConstructor
- TrajectoryPointExtra() - Constructor for class autoweka.Experiment.TrajectoryPointExtra
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- TrajectoryPointExtra(String, String) - Constructor for class autoweka.Experiment.TrajectoryPointExtra
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- TrajectoryPointExtraRunner - Class in autoweka
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Helper class that runs all the trajectoryPointExtras on a given trajectory - needed for analysis experiments
- TrajectoryPointExtraRunner() - Constructor for class autoweka.TrajectoryPointExtraRunner
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- trajectoryPointExtras - Variable in class autoweka.Experiment
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For analysis experiements, these extra classifier evaluations will be done for every point along the trajectory.
- trajectoryPointExtras - Variable in class autoweka.ExperimentBatch.ExperimentComponent
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For analysis experiements, these extra classifier evaluations will be done for every point along the trajectory.
- TrajectoryPointPredictionRunner - Class in autoweka
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- TrajectoryPointPredictionRunner() - Constructor for class autoweka.TrajectoryPointPredictionRunner
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- truncateToTime(float) - Method in class autoweka.Trajectory
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- tunerTimeout - Variable in class autoweka.Experiment
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How many seconds should be spent for this experiment overall? (IE the SMBO method's budget)
- tunerTimeout - Variable in class autoweka.ExperimentBatch.ExperimentComponent
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How many seconds should be spent for this experiment overall? (IE the SMBO method's budget)
- type - Variable in class autoweka.Experiment
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A helper variable that indicates the type of the experiment - this is set by the ExperimentConstructor
- type - Variable in class autoweka.Parameter
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The type of this parameter