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Interface Summary | |
Compute | Interface to something that can accept remote connections and execute a task. |
RemoteExperimentListener | Interface for classes that want to listen for updates on RemoteExperiment progress |
ResultListener | Interface for objects able to listen for results obtained by a ResultProducer |
ResultProducer | This interface defines the methods required for an object that produces results for different randomizations of a dataset. |
SemiSupSplitEvaluator | Interface to a split evaluator that can exploit unlabeled data. |
SplitEvaluator | Interface to objects able to generate a fixed set of results for a particular split of a dataset. |
Task | Interface to something that can be remotely executed as a task. |
Class Summary | |
ActiveFeatureAcquisitionCVResultProducer | Does an N-fold cross-validation, but generates a learning curve by also varying the number of training examples. |
ActiveLearningCurveCVResultProducer | Does an N-fold cross-validation, but generates a learning curve by also varying the number of training examples. |
AveragingResultProducer | AveragingResultProducer takes the results from a ResultProducer and submits the average to the result listener. |
ClassifierSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a nominal class attribute. |
CostSensitiveClassifierSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs. |
CrossValidationResultProducer | Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results. |
CSVResultListener | CSVResultListener outputs the received results in csv format to a Writer |
DatabaseResultListener | DatabaseResultListener takes the results from a ResultProducer and submits them to a central database. |
DatabaseResultProducer | DatabaseResultProducer examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener. |
DatabaseUtils | DatabaseUtils provides utility functions for accessing the experiment database. |
DeduperSplitEvaluator | A SplitEvaluator that produces results for a deduper scheme on a nominal class attribute. |
DedupingPRCurveCVResultProducer | N-fold cross-validation learning curve for deduping applications |
DedupingPRCurveCVResultProducerSplit | N-fold cross-validation learning curve for deduping applications |
EnsembleClassifierSplitEvaluator | A SplitEvaluator that produces results for an ensemble classification scheme |
Experiment | Holds all the necessary configuration information for a standard type experiment. |
ExtractionResultProducer | N-fold cross-validation learning curve for information extraction |
ExtractionSplitEvaluator | A SplitEvaluator that produces results for an extraction scheme
-W classname Specify the full class name of the extractor to evaluate. |
Grapher | Class for producing performance graphs for any metric from learning curve results. |
InstanceQuery | Convert the results of a database query into instances. |
InstancesResultListener | InstancesResultListener outputs the received results in arff format to a Writer. |
LearningCurveCrossValidationResultProducer | Does a N-fold cross-validation, but generates a learning curve by also varying the number of training examples. |
LearningRateResultProducer | LearningRateResultProducer takes the results from a ResultProducer and submits the average to the result listener. |
NoiseCurveCrossValidationResultProducer | Does a N-fold cross-validation, but generates a Noise Curve by also varying the number amount of Noise. |
NoiseGrapher | Class for producing performance graphs for any metric from learning curve results. |
OutputZipper | OutputZipper writes output to either gzipped files or to a multi entry zip file. |
PairedStats | A class for storing stats on a paired comparison (t-test and correlation) |
PairedTTester | Calculates T-Test statistics on data stored in a set of instances. |
PropertyNode | Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value. |
RandomSplitResultProducer | Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results. |
RegressionSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a numeric class attribute. |
RemoteEngine | A general purpose server for executing Task objects sent via RMI. |
RemoteExperiment | Holds all the necessary configuration information for a distributed experiment. |
RemoteExperimentEvent | Class encapsulating information on progress of a remote experiment |
RemoteExperimentSubTask | Class to encapsulate an experiment as a task that can be executed on a remote host. |
SemiSupClassifierSplitEvaluator | A SplitEvaluator that produces results for a semi-supervised classification scheme on a nominal class attribute. |
SemiSupClustererSplitEvaluator | A SplitEvaluator that produces results for a semi-supervised clustering scheme on a nominal class attribute. |
SemiSupCrossValidationResultProducer | Does a N-fold cross-validation for semi-supervised learning schemes. |
SemiSupIncompleteLabelCurveCVResultProducer | N-fold cross-validation learning curve for semi-supervised learners (clusterers and classifiers), where labeled data is not present for all the categories |
SemiSupLearningCurveCVResultProducer | N-fold cross-validation learning curve for semi-supervised learners (clusterers and classifiers) |
SemiSupPairActiveCurveCVResultProducer | N-fold cross-validation learning curve for pairwise active learning in semi-supervised learners (clusterers and classifiers) |
SemiSupPointActiveCurveCVResultProducer | N-fold cross-validation learning curve for point-wise active learning in semi-supervised learners (clusterers and classifiers) |
Stats | A class to store simple statistics |
TaskStatusInfo | A class holding information for tasks being executed on RemoteEngines. |
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