Uses of Interface
weka.experiment.ResultProducer

Packages that use ResultProducer

Package	Description
weka.experiment

Uses of ResultProducer in weka.experiment

Classes in weka.experiment that implement ResultProducer

Modifier and Type	Class	Description
class	AveragingResultProducer	Takes the results from a ResultProducer and submits the average to the result listener.
class	CrossValidationResultProducer	Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
class	CrossValidationSplitResultProducer	Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results.
class	DatabaseResultProducer	Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
class	ExplicitTestsetResultProducer	Loads the external test set and calls the appropriate SplitEvaluator to generate some results. The filename of the test set is constructed as follows: <dir> + / + <prefix> + <relation-name> + <suffix> The relation-name can be modified by using the regular expression to replace the matching sub-string with a specified replacement string.
class	LearningRateResultProducer	Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.
class	RandomSplitResultProducer	Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.

Methods in weka.experiment that return ResultProducer

Modifier and Type	Method	Description
ResultProducer	AveragingResultProducer.getResultProducer()	Get the ResultProducer.
ResultProducer	DatabaseResultProducer.getResultProducer()	Get the ResultProducer.
ResultProducer	Experiment.getResultProducer()	Get the result producer used for the current experiment.
ResultProducer	LearningRateResultProducer.getResultProducer()	Get the ResultProducer.

Methods in weka.experiment with parameters of type ResultProducer

Modifier and Type	Method	Description
void	AveragingResultProducer.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Accepts results from a ResultProducer.
void	CSVResultListener.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Just prints out each result as it is received.
void	DatabaseResultListener.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Submit the result to the appropriate table of the database
void	DatabaseResultProducer.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Accepts results from a ResultProducer.
void	InstancesResultListener.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Collects each instance and adjusts the header information.
void	LearningRateResultProducer.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Accepts results from a ResultProducer.
void	ResultListener.acceptResult(ResultProducer rp, Object[] key, Object[] result)	Accepts results from a ResultProducer.
String	DatabaseUtils.createExperimentIndexEntry(ResultProducer rp)	Attempts to insert a results entry for the table into the experiment index.
String	DatabaseUtils.createResultsTable(ResultProducer rp, String tableName)	Creates a results table for the supplied result producer.
String[]	AveragingResultProducer.determineColumnConstraints(ResultProducer rp)	Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
String[]	CSVResultListener.determineColumnConstraints(ResultProducer rp)	Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
String[]	DatabaseResultListener.determineColumnConstraints(ResultProducer rp)	Determines if there are any constraints (imposed by the destination) on any additional measures produced by resultProducers.
String[]	LearningRateResultProducer.determineColumnConstraints(ResultProducer rp)	Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
String[]	ResultListener.determineColumnConstraints(ResultProducer rp)	Determines if there are any constraints (imposed by the destination) on additional result columns to be produced by resultProducers.
Object[]	DatabaseUtils.getResultFromTable(String tableName, ResultProducer rp, Object[] key)	Executes a database query to extract a result for the supplied key from the database.
String	DatabaseUtils.getResultsTableName(ResultProducer rp)	Gets the name of the experiment table that stores results from a particular ResultProducer.
boolean	AveragingResultProducer.isResultRequired(ResultProducer rp, Object[] key)	Determines whether the results for a specified key must be generated.
boolean	CSVResultListener.isResultRequired(ResultProducer rp, Object[] key)	Always says a result is required.
boolean	DatabaseResultListener.isResultRequired(ResultProducer rp, Object[] key)	Always says a result is required.
boolean	DatabaseResultProducer.isResultRequired(ResultProducer rp, Object[] key)	Determines whether the results for a specified key must be generated.
boolean	LearningRateResultProducer.isResultRequired(ResultProducer rp, Object[] key)	Determines whether the results for a specified key must be generated.
boolean	ResultListener.isResultRequired(ResultProducer rp, Object[] key)	Determines whether the results for a specified key must be generated.
void	AveragingResultProducer.postProcess(ResultProducer rp)	When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
void	CSVResultListener.postProcess(ResultProducer rp)	Perform any postprocessing.
void	DatabaseResultListener.postProcess(ResultProducer rp)	Perform any postprocessing.
void	DatabaseResultProducer.postProcess(ResultProducer rp)	When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
void	InstancesResultListener.postProcess(ResultProducer rp)	Perform any postprocessing.
void	LearningRateResultProducer.postProcess(ResultProducer rp)	When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
void	ResultListener.postProcess(ResultProducer rp)	Perform any postprocessing.
void	AveragingResultProducer.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	CSVResultListener.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	DatabaseResultListener.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	DatabaseResultProducer.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	InstancesResultListener.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	LearningRateResultProducer.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	ResultListener.preProcess(ResultProducer rp)	Prepare for the results to be received.
void	DatabaseUtils.putResultInTable(String tableName, ResultProducer rp, Object[] key, Object[] result)	Executes a database query to insert a result for the supplied key into the database.
void	AveragingResultProducer.setResultProducer(ResultProducer newResultProducer)	Set the ResultProducer.
void	DatabaseResultProducer.setResultProducer(ResultProducer newResultProducer)	Set the ResultProducer.
void	Experiment.setResultProducer(ResultProducer newResultProducer)	Set the result producer used for the current experiment.
void	LearningRateResultProducer.setResultProducer(ResultProducer newResultProducer)	Set the ResultProducer.
void	RemoteExperiment.setResultProducer(ResultProducer newResultProducer)	Set the result producer used for the current experiment.