Index (multisearch 2017.10.1 API)

A B C D E G I L M N P R S T V W

A

AbstractEvaluationFactory<M extends AbstractEvaluationMetrics,W extends AbstractEvaluationWrapper,T extends AbstractEvaluationTask,E> - Class in weka.classifiers.meta.multisearch: Factory for creating evaluation-related objects.
AbstractEvaluationFactory() - Constructor for class weka.classifiers.meta.multisearch.AbstractEvaluationFactory
AbstractEvaluationMetrics - Class in weka.classifiers.meta.multisearch: Ancestor for evaluation metrics (to be used in the GUI).
AbstractEvaluationMetrics() - Constructor for class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics
AbstractEvaluationTask - Class in weka.classifiers.meta.multisearch: Helper class for evaluating a setup.
AbstractEvaluationTask(MultiSearchCapable, Instances, Instances, SetupGenerator, Point<Object>, int, int, int) - Constructor for class weka.classifiers.meta.multisearch.AbstractEvaluationTask: Initializes the task.
AbstractEvaluationWrapper<T,M extends AbstractEvaluationMetrics> - Class in weka.classifiers.meta.multisearch: Wrapper for evaluation classes.
AbstractEvaluationWrapper(T, M) - Constructor for class weka.classifiers.meta.multisearch.AbstractEvaluationWrapper: Initializes the wrapper.
AbstractMultiThreadedSearch - Class in weka.classifiers.meta.multisearch: Ancestor for multi-threaded searches.
AbstractMultiThreadedSearch() - Constructor for class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch
AbstractParameter - Class in weka.core.setupgenerator: Abstract container class for search parameters.
AbstractParameter() - Constructor for class weka.core.setupgenerator.AbstractParameter: default constructor.
AbstractPropertyParameter - Class in weka.core.setupgenerator: Abstract container class for search parameters.
AbstractPropertyParameter() - Constructor for class weka.core.setupgenerator.AbstractPropertyParameter: default constructor.
AbstractSearch - Class in weka.classifiers.meta.multisearch: Ancestor for search algorithms.
AbstractSearch() - Constructor for class weka.classifiers.meta.multisearch.AbstractSearch
AbstractSearch.SearchResult - Class in weka.classifiers.meta.multisearch: Container class for the search results.
add(int, Performance) - Method in class weka.classifiers.meta.multisearch.PerformanceCache: adds the performance to the cache.
addPerformance(Performance, int) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Adds the performance to the cache and the current list of performances.
algorithmTipText() - Method in class weka.classifiers.meta.MultiSearch: Returns the tip text for this property.

B

baseObjectFileTipText() - Method in class weka.core.SetupGenerator: Returns the tip text for this property.
baseTipText() - Method in class weka.core.setupgenerator.MathParameter: Returns the tip text for this property.
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiSearch: builds the classifier.

C

call() - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationTask: Performs the evaluation.
check(int) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics: Returns whether the ID is valid.
classifier - Variable in class weka.classifiers.meta.multisearch.AbstractSearch.SearchResult
classLabelTipText() - Method in class weka.classifiers.meta.MultiSearch: Returns the tip text for this property.
cleanUp() - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationTask: Cleans up after the task finishes.
cleanUpSearch() - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Called after the search regardless whether successful or failed.
cleanUpSearch() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Called after the search regardless whether successful or failed.
clone() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns a clone of itself.
clone() - Method in class weka.classifiers.meta.multisearch.Performance: Returns a copy of itself.
clone() - Method in class weka.core.setupgenerator.AbstractParameter: Returns a clone of itself.
clone() - Method in class weka.core.setupgenerator.Point: Returns a clone of itself.
compare(Performance, Performance) - Method in class weka.classifiers.meta.multisearch.PerformanceComparator: Compares its two arguments for order.
compareTo(Point<E>) - Method in class weka.core.setupgenerator.Point: Compares the given point with this point.
customerDelimiterTipText() - Method in class weka.core.setupgenerator.ListParameter: Returns the tip text for this property.

D

debugTipText() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the tip text for this property
defaultAlgorithm() - Method in class weka.classifiers.meta.MultiSearch: Creates the default search algorithm.
DefaultEvaluationFactory - Class in weka.classifiers.meta.multisearch: Default factory.
DefaultEvaluationFactory() - Constructor for class weka.classifiers.meta.multisearch.DefaultEvaluationFactory
DefaultEvaluationMetrics - Class in weka.classifiers.meta.multisearch: Default metrics.
DefaultEvaluationMetrics() - Constructor for class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics
DefaultEvaluationTask - Class in weka.classifiers.meta.multisearch: Default Evaluation task.
DefaultEvaluationTask(MultiSearchCapable, Instances, Instances, SetupGenerator, Point<Object>, int, int, int) - Constructor for class weka.classifiers.meta.multisearch.DefaultEvaluationTask: Initializes the task.
DefaultEvaluationWrapper - Class in weka.classifiers.meta.multisearch: Wrapper for the Evaluation class.
DefaultEvaluationWrapper(Evaluation, DefaultEvaluationMetrics) - Constructor for class weka.classifiers.meta.multisearch.DefaultEvaluationWrapper: Initializes the wrapper.
DefaultSearch - Class in weka.classifiers.meta.multisearch: Performs a search of an arbitrary number of parameters of a classifier and chooses the best setup found for the actual training.
The properties being explored are totally up to the user.

E.g., if you have a FilteredClassifier selected as base classifier, sporting a PLSFilter and you want to explore the number of PLS components, then your property will be made up of the following components:
- filter: referring to the FilteredClassifier's property (= PLSFilter)
- numComponents: the actual property of the PLSFilter that we want to modify
And assembled, the property looks like this:
filter.numComponents

The initial space is worked on with 2-fold CV to determine the values of the parameters for the selected type of evaluation (e.g., accuracy).
DefaultSearch() - Constructor for class weka.classifiers.meta.multisearch.DefaultSearch
dimensions() - Method in class weka.core.setupgenerator.Point: Returns the number of dimensions this points uses.
dimensions() - Method in class weka.core.setupgenerator.Space: Returns the number of dimensions of this space.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiSearch: Returns the distribution for the given instance.
doSearch(Instances) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Performs the actual search and returns the best setup.
doSearch(Instances) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Performs the actual search and returns the best setup.
doSearch(Instances) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Performs the actual search and returns the best setup.

E

enumerateMeasures() - Method in class weka.classifiers.meta.MultiSearch: Returns an enumeration of the measure names.
equals(Object) - Method in class weka.classifiers.meta.multisearch.PerformanceComparator: Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in class weka.core.setupgenerator.Point: Determines whether or not two points are equal.
equals(Object) - Method in class weka.core.setupgenerator.SpaceDimension: Tests itself against the provided dimension object.
evaluate(Point<Object>) - Method in class weka.core.SetupGenerator: evalutes the expression for the current iteration.
EVALUATION_ACC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Accuracy.
EVALUATION_AUC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: AUC.
EVALUATION_CC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Correlation coefficient.
EVALUATION_COMBINED - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Combined = (1-CC) + RRSE + RAE.
EVALUATION_FALSE_NEGATIVE_RATE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: false negative rate.
EVALUATION_FALSE_POSITIVE_RATE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: false positive rate.
EVALUATION_FMEASURE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: FMeasure.
EVALUATION_KAPPA - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Kappa statistic.
EVALUATION_MAE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Mean absolute error.
EVALUATION_MATTHEWS_CC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Matthews Correlation coefficient.
EVALUATION_PRC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: PRC.
EVALUATION_PRECISION - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: precision.
EVALUATION_RAE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Relative absolute error.
EVALUATION_RECALL - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: recall.
EVALUATION_RMSE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Root mean squared error.
EVALUATION_RRSE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: Root relative squared error.
EVALUATION_TRUE_NEGATIVE_RATE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: true negative rate.
EVALUATION_TRUE_POSITIVE_RATE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: true positive rate.
EVALUATION_WEIGHTED_AUC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: weighted AUC.
EVALUATION_WEIGHTED_FMEASURE - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: weighted FMeasure.
EVALUATION_WEIGHTED_PRC - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: weighted PRC.
EVALUATION_WEIGHTED_PRECISION - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: weighted precision.
EVALUATION_WEIGHTED_RECALL - Static variable in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: evaluation via: weighted recall.
evaluationTipText() - Method in class weka.classifiers.meta.MultiSearch: Returns the tip text for this property.
expressionTipText() - Method in class weka.core.setupgenerator.MathParameter: Returns the tip text for this property.

G

get(int, Point<Object>) - Method in class weka.classifiers.meta.multisearch.PerformanceCache: returns a cached performance object, null if not yet in the cache.
getAlgorithm() - Method in class weka.classifiers.meta.MultiSearch: Returns the search algorithm.
getAlgorithm() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Returns the search algorithm.
getBase() - Method in class weka.core.setupgenerator.MathParameter: Get the value of the base.
getBaseObject() - Method in class weka.core.SetupGenerator: Returns the base object.
getBestClassifier() - Method in class weka.classifiers.meta.MultiSearch: returns the best Classifier setup.
getBestClassifier() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: returns the best Classifier setup.
getBestCoordinates() - Method in class weka.classifiers.meta.MultiSearch: returns the points that were found to work best.
getBestCoordinates() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: returns the points that were found to work best.
getBestValues() - Method in class weka.classifiers.meta.MultiSearch: returns the parameter values that were found to work best.
getBestValues() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: returns the parameter values that were found to work best.
getCapabilities() - Method in class weka.classifiers.meta.MultiSearch: Returns default capabilities of the classifier.
getClassifier() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: returns the Classifier setup.
getClassifier() - Method in class weka.classifiers.meta.multisearch.Performance: Returns the classifier.
getClassLabel() - Method in class weka.classifiers.meta.MultiSearch: Returns the class label to retrieve the metrics for (if applicable).
getClassLabel() - Method in class weka.classifiers.meta.multisearch.Performance: Returns the class label index (may not be applicable).
getClassLabelIndex(int) - Method in class weka.classifiers.meta.MultiSearch: Returns the integer index.
getClassLabelIndex(int) - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Returns the integer index.
getCommandline(Object) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the commandline of the given object.
getCommandline(Object) - Method in class weka.classifiers.meta.MultiSearch: Returns the commandline of the given object.
getCommandline(Object) - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Returns the commandline of the given object.
getCustomDelimiter() - Method in class weka.core.setupgenerator.ListParameter: Get the custom delimiter to use.
getDebug() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Get whether debugging is turned on.
getDefaultMetric() - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics: Returns the ID of default metric to use.
getDefaultMetric() - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: Returns the ID of default metric to use.
getDimension(int) - Method in class weka.core.setupgenerator.Space: Returns the specified dimension.
getEvaluation() - Method in class weka.classifiers.meta.MultiSearch: Gets the criterion used for evaluating the classifier performance.
getEvaluation() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Gets the criterion used for evaluating the classifier performance.
getEvaluation() - Method in class weka.classifiers.meta.multisearch.Performance: Returns the evaluation type.
getEvaluation() - Method in class weka.classifiers.meta.multisearch.PerformanceComparator: returns the performance measure that's used to compare the objects.
getExpression() - Method in class weka.core.setupgenerator.MathParameter: Get the expression.
getFactory() - Method in class weka.classifiers.meta.MultiSearch: Returns the factory instance.
getFactory() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Returns the factory instance.
getGenerator() - Method in class weka.classifiers.meta.MultiSearch: Returns the setup generator.
getGenerator() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Returns the setup generator.
getInitialSpaceNumFolds() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Gets the number of CV folds for the initial space.
getInitialSpaceTestSet() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Gets the test set to use for the initial space.
getItems() - Method in class weka.core.setupgenerator.ListParameter: Splits the list string using the appropriate delimiter.
getLabel() - Method in class weka.core.setupgenerator.SpaceDimension: returns the label for the axis.
getList() - Method in class weka.core.setupgenerator.ListParameter: Get the list of values.
getList() - Method in class weka.core.setupgenerator.SpaceDimension: Returns the list of values, null in case of a numeric dimension that is based on a mathematical function.
getLocation(Object) - Method in class weka.core.setupgenerator.SpaceDimension: returns the closest index for the given value in the dimension.
getLocations(Point<Object>) - Method in class weka.core.setupgenerator.Space: Returns the locations for the given values in the various dimensions.
getLogFile() - Method in class weka.classifiers.meta.MultiSearch: Gets current log file.
getMax() - Method in class weka.core.setupgenerator.MathParameter: Get the value of the Maximum.
getMax() - Method in class weka.core.setupgenerator.SpaceDimension: returns the right border.
getMeasure(String) - Method in class weka.classifiers.meta.MultiSearch: Returns the value of the named measure.
getMetric(Tag, int) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationWrapper: Returns the metric for the given tag.
getMetric(int, int) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationWrapper: Returns the metric for the given ID.
getMetric(int, int) - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationWrapper: Returns the metric for the given ID.
getMetrics() - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationWrapper: Returns the metrics.
getMetrics() - Method in class weka.classifiers.meta.MultiSearch: Returns the evaluation metrics.
getMetrics() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Returns the evaluation metrics.
getMetrics() - Method in class weka.classifiers.meta.multisearch.PerformanceComparator: Returns the metrics in use.
getMetricsTags() - Method in class weka.classifiers.meta.MultiSearch: Returns the underlying tags.
getMin() - Method in class weka.core.setupgenerator.MathParameter: Get the value of the minimum.
getMin() - Method in class weka.core.setupgenerator.SpaceDimension: returns the left border.
getNumExecutionSlots() - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Get the number of execution slots (threads) to use for building the members of the ensemble.
getNumIterations() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Gets the number of iterations.
getOptions() - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: returns the options of the current setup.
getOptions() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: returns the options of the current setup.
getOptions() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: returns the options of the current setup.
getOptions() - Method in class weka.classifiers.meta.MultiSearch: returns the options of the current setup.
getOptions() - Method in class weka.classifiers.meta.multisearch.RandomSearch: returns the options of the current setup.
getOptions() - Method in class weka.core.setupgenerator.AbstractParameter: returns the options of the current setup.
getOptions() - Method in class weka.core.setupgenerator.AbstractPropertyParameter: returns the options of the current setup.
getOptions() - Method in class weka.core.SetupGenerator: returns the options of the current setup.
getOptions() - Method in class weka.core.setupgenerator.ListParameter: returns the options of the current setup.
getOptions() - Method in class weka.core.setupgenerator.MathParameter: returns the options of the current setup.
getOptions() - Method in class weka.core.setupgenerator.ParameterGroup: returns the options of the current setup.
getParameters() - Method in class weka.core.SetupGenerator: Returns the current parameters.
getParameters() - Method in class weka.core.setupgenerator.ParameterGroup: Returns the current parameters.
getPerformance() - Method in class weka.classifiers.meta.multisearch.Performance: returns the performance measure.
getPerformance(int) - Method in class weka.classifiers.meta.multisearch.Performance: returns the performance measure.
getProperty() - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Get the property to update.
getRandomSeed() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Gets the number of iterations.
getRevision() - Method in class weka.classifiers.meta.MultiSearch: Returns the revision string.
getSampleSizePercent() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Gets the sample size for the initial space search.
getSampleSizePercent() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Gets the sample size for the search space search.
getSearchDimensions() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the search dimensions
getSearchParameters() - Method in class weka.classifiers.meta.MultiSearch: Returns the search parameters.
getSearchSpaceNumFolds() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Gets the number of CV folds for the search space.
getSearchSpaceTestSet() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Gets the test set to use for the search space.
getSeed() - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: Gets the seed for the random number generations
getSpace() - Method in class weka.core.SetupGenerator: Returns the space currently in use.
getStep() - Method in class weka.core.setupgenerator.MathParameter: Get the value of the step size.
getStep() - Method in class weka.core.setupgenerator.SpaceDimension: returns the step size on the axis.
getSubsequentSpaceNumFolds() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Gets the number of CV folds for the sub-sequent sub-spaces.
getSubsequentSpaceTestSet() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Gets the test set to use for the sub-sequent sub-spaces.
getTags() - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics: Returns the tags to used in the GUI.
getTags() - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: Returns the tags to used in the GUI.
getTrace() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the full trace.
getTrace() - Method in class weka.classifiers.meta.MultiSearch: Returns the full trace.
getTrace() - Method in interface weka.classifiers.meta.multisearch.TraceableOptimizer: Returns the full trace.
getTraceClassifierAsCli(int) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the CLI string of a given item in the trace.
getTraceClassifierAsCli(int) - Method in class weka.classifiers.meta.MultiSearch: Returns the CLI string of a given item in the trace.
getTraceClassifierAsCli(int) - Method in interface weka.classifiers.meta.multisearch.TraceableOptimizer: Returns the CLI string of a given item in the trace.
getTraceFolds(int) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the folds of a given item in the trace.
getTraceFolds(int) - Method in class weka.classifiers.meta.MultiSearch: Returns the folds of a given item in the trace.
getTraceFolds(int) - Method in interface weka.classifiers.meta.multisearch.TraceableOptimizer: Returns the folds of a given item in the trace.
getTraceParameterSettings(int) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the parameter settings in structured way
getTraceParameterSettings(int) - Method in class weka.classifiers.meta.MultiSearch: Returns the parameter settings in structured way
getTraceParameterSettings(int) - Method in interface weka.classifiers.meta.multisearch.TraceableOptimizer: Returns the parameter settings in structured way
getTraceSize() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the size of m_Trace, which is technically the amount of setups that where tested in order to find the best.
getTraceSize() - Method in class weka.classifiers.meta.MultiSearch: Returns the size of m_Trace, which is technically the amount of setups that where tested in order to find the best.
getTraceSize() - Method in interface weka.classifiers.meta.multisearch.TraceableOptimizer: Returns the size of m_Trace, which is technically the amount of setups that where tested in order to find the best.
getTraceValue(int) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the performance score of a given item in the trace.
getTraceValue(int) - Method in class weka.classifiers.meta.MultiSearch: Returns the performance score of a given item in the trace.
getTraceValue(int) - Method in interface weka.classifiers.meta.multisearch.TraceableOptimizer: Returns the performance score of a given item in the trace.
getType(int) - Method in class weka.core.setupgenerator.Space: Returns the type of the dimension.
getType() - Method in class weka.core.setupgenerator.SpaceDimension: returns the tye of dimension.
getValue(int) - Method in class weka.core.setupgenerator.Point: Returns the value in the specified dimension.
getValue(int) - Method in class weka.core.setupgenerator.SpaceDimension: returns the value at the given point in the dimension.
getValues() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: returns the parameter values that were found to work best.
getValues() - Method in class weka.classifiers.meta.multisearch.Performance: returns the values for this performance.
getValues(Point<Integer>) - Method in class weka.core.setupgenerator.Space: Returns the double values (or list values) for the given position.
globalInfo() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns a string describing the object.
globalInfo() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Returns a string describing the object.
globalInfo() - Method in class weka.classifiers.meta.MultiSearch: Returns a string describing classifier.
globalInfo() - Method in class weka.classifiers.meta.multisearch.RandomSearch
globalInfo() - Method in class weka.core.setupgenerator.AbstractParameter: Returns a string describing the object.
globalInfo() - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Returns a string describing the object.
globalInfo() - Method in class weka.core.SetupGenerator: Returns a string describing the object.
globalInfo() - Method in class weka.core.setupgenerator.ListParameter: Returns a string describing the object.
globalInfo() - Method in class weka.core.setupgenerator.MathParameter: Returns a string describing the object.
globalInfo() - Method in class weka.core.setupgenerator.ParameterGroup: Returns a string describing the object.

I

initialSpaceNumFoldsTipText() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Returns the tip text for this property.
initialSpaceTestSetTipText() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Returns the tip text for this property.
invert(Tag) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics: Returns whether to negate the metric for sorting purposes.
invert(int) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics: Returns whether to negate the metric for sorting purposes.
invert(int) - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics: Returns whether to negate the metric for sorting purposes.
isCached(int, Point<Object>) - Method in class weka.classifiers.meta.multisearch.PerformanceCache: checks whether the point was already calculated once.
isOnBorder(Point<?>) - Method in class weka.core.setupgenerator.Space: checks whether the given locations/values are on the border of the space.
isOnBorder(double) - Method in class weka.core.setupgenerator.SpaceDimension: checks whether the given value is on the border of the dimension.
isOnBorder(int) - Method in class weka.core.setupgenerator.SpaceDimension: checks whether the given location is on the border of the dimension.

L

listOptions() - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.MultiSearch: Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Gets an enumeration describing the available options.
listOptions() - Method in class weka.core.setupgenerator.AbstractParameter: Gets an enumeration describing the available options.
listOptions() - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Gets an enumeration describing the available options.
listOptions() - Method in class weka.core.SetupGenerator: Gets an enumeration describing the available options.
listOptions() - Method in class weka.core.setupgenerator.ListParameter: Gets an enumeration describing the available options.
listOptions() - Method in class weka.core.setupgenerator.MathParameter: Gets an enumeration describing the available options.
listOptions() - Method in class weka.core.setupgenerator.ParameterGroup: Gets an enumeration describing the available options.
ListParameter - Class in weka.core.setupgenerator: Container class for search parameters.
ListParameter() - Constructor for class weka.core.setupgenerator.ListParameter
listTipText() - Method in class weka.core.setupgenerator.ListParameter: Returns the tip text for this property.
log(String) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: prints the specified message to stdout if debug is on and can also dump the message to a log file.
log(String, boolean) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: prints the specified message to stdout if debug is on and can also dump the message to a log file.
log(String) - Method in class weka.classifiers.meta.MultiSearch: prints the specified message to stdout if debug is on and can also dump the message to a log file.
log(String, boolean) - Method in class weka.classifiers.meta.MultiSearch: prints the specified message to stdout if debug is on and can also dump the message to a log file.
log(String) - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: prints the specified message to stdout if debug is on and can also dump the message to a log file.
log(String, boolean) - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: prints the specified message to stdout if debug is on and can also dump the message to a log file.
logFileTipText() - Method in class weka.classifiers.meta.MultiSearch: Returns the tip text for this property.
logPerformances(Space, Vector<Performance>, Tag) - Method in class weka.classifiers.meta.MultiSearch: generates a table string for all the performances in the space and returns that.
logPerformances(Space, Vector<Performance>) - Method in class weka.classifiers.meta.MultiSearch: aligns all performances in the space and prints those tables to the log file.
logPerformances(Space, Vector<Performance>, Tag) - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: generates a table string for all the performances in the space and returns that.
logPerformances(Space, Vector<Performance>) - Method in interface weka.classifiers.meta.multisearch.MultiSearchCapable: aligns all performances in the space and prints those tables to the log file.

M

main(String[]) - Static method in class weka.classifiers.meta.MultiSearch: Main method for running this classifier from commandline.
main(String[]) - Static method in class weka.core.SetupGenerator: For testing only.
MathParameter - Class in weka.core.setupgenerator: Container class for search parameters.
MathParameter() - Constructor for class weka.core.setupgenerator.MathParameter
maxTipText() - Method in class weka.core.setupgenerator.MathParameter: Returns the tip text for this property.
minTipText() - Method in class weka.core.setupgenerator.MathParameter: Returns the tip text for this property.
MultiSearch - Class in weka.classifiers.meta: Performs a search of an arbitrary number of parameters of a classifier and chooses the best pair found for the actual filtering and training.
The default MultiSearch is using the following Classifier setup:
LinearRegression, searching for the "Ridge"
The properties being explored are totally up to the user.

E.g., if you have a FilteredClassifier selected as base classifier, sporting a PLSFilter and you want to explore the number of PLS components, then your property will be made up of the following components:
- filter: referring to the FilteredClassifier's property (= PLSFilter)
- numComponents: the actual property of the PLSFilter that we want to modify
And assembled, the property looks like this:
filter.numComponents

The best classifier setup can be accessed after the buildClassifier call via the getBestClassifier method.

The trace of setups evaluated can be accessed after the buildClassifier call as well, using the following methods:
- getTrace()
- getTraceSize()
- getTraceValue(int)
- getTraceFolds(int)
- getTraceClassifierAsCli(int)
- getTraceParameterSettings(int)

Using the weka.core.setupgenerator.ParameterGroup parameter, it is possible to group dependent parameters.
MultiSearch() - Constructor for class weka.classifiers.meta.MultiSearch: the default constructor.
MultiSearchCapable - Interface in weka.classifiers.meta.multisearch: Interface for multi-search capable classifiers..

N

newMetrics() - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationFactory: Returns a new metrics instance.
newMetrics() - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationFactory: Returns a new metrics instance.
newTask(MultiSearchCapable, Instances, Instances, SetupGenerator, Point<Object>, int, int, int) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationFactory: Returns a new task.
newTask(MultiSearchCapable, Instances, Instances, SetupGenerator, Point<Object>, int, int, int) - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationFactory: Returns a new task.
newWrapper(E) - Method in class weka.classifiers.meta.multisearch.AbstractEvaluationFactory: Returns a new wrapper.
newWrapper(Evaluation) - Method in class weka.classifiers.meta.multisearch.DefaultEvaluationFactory: Returns a new wrapper.
numExecutionSlotsTipText() - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Returns the tip text for this property.
numIterationsTipText() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Returns the tip text for this property.

P

ParameterGroup - Class in weka.core.setupgenerator: Groups dependent parameters.
ParameterGroup() - Constructor for class weka.core.setupgenerator.ParameterGroup: Initializes the object.
parametersFileTipText() - Method in class weka.core.setupgenerator.ParameterGroup: Returns the tip text for this property.
parametersFileTipText() - Method in class weka.core.SetupGenerator: Returns the tip text for this property.
performance - Variable in class weka.classifiers.meta.multisearch.AbstractSearch.SearchResult
Performance - Class in weka.classifiers.meta.multisearch: A helper class for storing the performance of values in the parameter space.
Performance(Point<Object>, AbstractEvaluationWrapper, int, int, Classifier) - Constructor for class weka.classifiers.meta.multisearch.Performance: Initializes the performance container.
PerformanceCache - Class in weka.classifiers.meta.multisearch: Represents a simple cache for performance objects.
PerformanceCache() - Constructor for class weka.classifiers.meta.multisearch.PerformanceCache
PerformanceComparator - Class in weka.classifiers.meta.multisearch: A concrete Comparator for the Performance class.
PerformanceComparator(int, AbstractEvaluationMetrics) - Constructor for class weka.classifiers.meta.multisearch.PerformanceComparator: initializes the comparator with the given performance measure.
Point<E> - Class in weka.core.setupgenerator: A multi-dimensional point.
Point(E[]) - Constructor for class weka.core.setupgenerator.Point: Initializes the point with the given values.
points() - Method in class weka.core.setupgenerator.Space: returns an Enumeration over all points.
postSearch(Instances, AbstractSearch.SearchResult) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Called after the search has been executed.
preSearch(Instances) - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Called before the search is executed.
preSearch(Instances) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Called before the search is executed.
propertyTipText() - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Returns the tip text for this property.

R

RandomSearch - Class in weka.classifiers.meta.multisearch
RandomSearch() - Constructor for class weka.classifiers.meta.multisearch.RandomSearch
randomSeedTipText() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Returns the tip text for this property.
reset() - Method in class weka.core.SetupGenerator: Resets the generation.
retrieveOwner() - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Returns the current owner.

S

sampleSizePercentTipText() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Returns the tip text for this property.
sampleSizePercentTipText() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Returns the tip text for this property.
search(Instances) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Performs the search and returns the best setup.
searchParametersTipText() - Method in class weka.classifiers.meta.MultiSearch: Returns the tip text for this property.
SearchResult() - Constructor for class weka.classifiers.meta.multisearch.AbstractSearch.SearchResult
searchSpaceNumFoldsTipText() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Returns the tip text for this property.
searchSpaceTestSetTipText() - Method in class weka.classifiers.meta.multisearch.RandomSearch: Returns the tip text for this property.
setAlgorithm(AbstractSearch) - Method in class weka.classifiers.meta.MultiSearch: Sets the search algorithm.
setBase(double) - Method in class weka.core.setupgenerator.MathParameter: Set the value of the base.
setBaseObject(Serializable) - Method in class weka.core.SetupGenerator: Sets the base object, can be single object or array of objects.
setClassifier(Classifier) - Method in class weka.classifiers.meta.MultiSearch: Set the base learner.
setClassLabel(String) - Method in class weka.classifiers.meta.MultiSearch: Sets the class label to retrieve the metrics for (if applicable).
setCustomDelimiter(String) - Method in class weka.core.setupgenerator.ListParameter: Set the custom delimiter to use.
setDebug(boolean) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Set debugging mode.
setEvaluation(SelectedTag) - Method in class weka.classifiers.meta.MultiSearch: Sets the criterion to use for evaluating the classifier performance.
setExpression(String) - Method in class weka.core.setupgenerator.MathParameter: Set the expression.
setInitialSpaceNumFolds(int) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Sets the number of CV folds for the initial space.
setInitialSpaceTestSet(File) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Sets the test set to use folds for the initial space.
setList(String) - Method in class weka.core.setupgenerator.ListParameter: Set the list of values.
setLogFile(File) - Method in class weka.classifiers.meta.MultiSearch: Sets the log file to use.
setMax(double) - Method in class weka.core.setupgenerator.MathParameter: Set the value of the Maximum.
setMin(double) - Method in class weka.core.setupgenerator.MathParameter: Set the value of the minimum.
setNumExecutionSlots(int) - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Set the number of execution slots (threads) to use for building the members of the ensemble.
setNumIterations(int) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Sets the number of iterations.
setOptions(String[]) - Method in class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch: Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.meta.MultiSearch: Parses the options for this object.
setOptions(String[]) - Method in class weka.core.setupgenerator.AbstractParameter: Parses the options for this object.
setOptions(String[]) - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Parses the options for this object.
setOptions(String[]) - Method in class weka.core.setupgenerator.ListParameter: Parses the options for this object.
setOptions(String[]) - Method in class weka.core.setupgenerator.MathParameter: Parses the options for this object.
setOptions(String[]) - Method in class weka.core.setupgenerator.ParameterGroup: Parses the options for this object.
setOptions(String[]) - Method in class weka.core.SetupGenerator: Parses the options for this object.
setOwner(MultiSearchCapable) - Method in class weka.classifiers.meta.multisearch.AbstractSearch: Sets the owning classifier.
setParameters(AbstractParameter[]) - Method in class weka.core.setupgenerator.ParameterGroup: Sets the parameters to use as basis for the setups.
setParameters(AbstractParameter[]) - Method in class weka.core.SetupGenerator: Sets the parameters to use as basis for the setups.
setPerformance(int, double) - Method in class weka.classifiers.meta.multisearch.Performance: returns the performance measure.
setProperty(String) - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Set the property to update.
setRandomSeed(int) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Sets the random seed.
setSampleSizePercent(double) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Sets the sample size for the initial space search.
setSampleSizePercent(double) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Sets the sample size for the search space search.
setSearchParameters(AbstractParameter[]) - Method in class weka.classifiers.meta.MultiSearch: Sets the search parameters.
setSearchSpaceNumFolds(int) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Sets the number of CV folds for the search space.
setSearchSpaceTestSet(File) - Method in class weka.classifiers.meta.multisearch.RandomSearch: Sets the test set to use folds for the search space.
setSpace(Space) - Method in class weka.core.SetupGenerator: Updates the space to use for the setup generation.
setStep(double) - Method in class weka.core.setupgenerator.MathParameter: Set the value of the step size.
setSubsequentSpaceNumFolds(int) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Sets the number of CV folds for the sub-sequent sub-spaces.
setSubsequentSpaceTestSet(File) - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Sets the test set to use for the sub-sequent sub-spaces.
setup(Serializable, Point<Object>) - Method in class weka.core.SetupGenerator: returns a fully configures object (a copy of the provided one).
SetupGenerator - Class in weka.core: Generates different setups of objects (e.g., classifiers or filters) based on parameter settings.
SetupGenerator() - Constructor for class weka.core.SetupGenerator: Default constructor.
setups() - Method in class weka.core.SetupGenerator: Returns an enumeration of all the setups.
setValue(Object, String, Object) - Method in class weka.core.SetupGenerator: tries to set the value as double, integer (just casts it to int!) or boolean (false if 0, otherwise true) in the object according to the specified path.
size() - Method in class weka.core.setupgenerator.Space: Returns the size of the space.
Space - Class in weka.core.setupgenerator: Represents a multidimensional value space.
Space(SpaceDimension[]) - Constructor for class weka.core.setupgenerator.Space: Initializes the space.
SpaceDimension - Class in weka.core.setupgenerator: Represents a single dimension in a multi-dimensional space.
SpaceDimension(AbstractParameter) - Constructor for class weka.core.setupgenerator.SpaceDimension: initializes the dimension (for numeric values).
SpaceDimension(double, double, double, String) - Constructor for class weka.core.setupgenerator.SpaceDimension: initializes the dimension (for numeric values).
SpaceDimension(int, int, String[], String) - Constructor for class weka.core.setupgenerator.SpaceDimension: initializes the dimension (for list values).
stepTipText() - Method in class weka.core.setupgenerator.MathParameter: Returns the tip text for this property.
subdimension(int, int) - Method in class weka.core.setupgenerator.SpaceDimension: returns a sub-dimension with the same type/step/list, but different borders.
subsequentSpaceNumFoldsTipText() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Returns the tip text for this property.
subsequentSpaceTestSetTipText() - Method in class weka.classifiers.meta.multisearch.DefaultSearch: Returns the tip text for this property.
subspace(Point<Integer>) - Method in class weka.core.setupgenerator.Space: Returns a subspace around the given point, with just one more neighbor left and right on each dimension.

T

TAGS_TYPE - Static variable in class weka.core.SetupGenerator: type of parameter.
toString() - Method in class weka.classifiers.meta.multisearch.Performance: returns a string representation of this performance object.
toString() - Method in class weka.classifiers.meta.multisearch.PerformanceCache: returns a string representation of the cache.
toString() - Method in class weka.classifiers.meta.MultiSearch: returns a string representation of the classifier.
toString() - Method in class weka.core.setupgenerator.AbstractParameter: Returns a string representation of the search parameter.
toString() - Method in class weka.core.setupgenerator.AbstractPropertyParameter: Returns a string representation of the search parameter.
toString() - Method in class weka.core.setupgenerator.ListParameter: Returns a string representation of the search parameter.
toString() - Method in class weka.core.setupgenerator.MathParameter: Returns a string representation of the search parameter.
toString() - Method in class weka.core.setupgenerator.ParameterGroup: Short description.
toString() - Method in class weka.core.setupgenerator.Point: returns a string representation of the Point.
toString() - Method in class weka.core.setupgenerator.Space: Returns a string representation of the space.
toString() - Method in class weka.core.setupgenerator.SpaceDimension: Returns a string representation of the dimension.
toString() - Method in class weka.core.SetupGenerator: A string representation of the generator.
toSummaryString() - Method in class weka.classifiers.meta.MultiSearch: Returns a string that summarizes the object.
TraceableOptimizer - Interface in weka.classifiers.meta.multisearch
TYPE_FUNCTION - Static variable in class weka.core.SetupGenerator: type: mathematical function.
TYPE_LIST - Static variable in class weka.core.SetupGenerator: type: explicit, comma-separated list of values.

V

values - Variable in class weka.classifiers.meta.multisearch.AbstractSearch.SearchResult
values() - Method in class weka.core.setupgenerator.Space: returns an Enumeration over all values.

W

weka.classifiers.meta - package weka.classifiers.meta
weka.classifiers.meta.multisearch - package weka.classifiers.meta.multisearch
weka.core - package weka.core
weka.core.setupgenerator - package weka.core.setupgenerator
width() - Method in class weka.core.setupgenerator.SpaceDimension: returns the number of points on the axis (incl.

A B C D E G I L M N P R S T V W