Uses of Interface
org.openimaj.experiment.evaluation.AnalysisResult

Packages that use AnalysisResult

Package	Description
org.openimaj.experiment.evaluation
org.openimaj.experiment.evaluation.classification
org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
org.openimaj.experiment.evaluation.classification.analysers.roc
org.openimaj.experiment.evaluation.cluster
org.openimaj.experiment.evaluation.cluster.analyser	This package contains classes that can be used to evaluate clustering performance.
org.openimaj.experiment.evaluation.retrieval
org.openimaj.experiment.evaluation.retrieval.analysers
org.openimaj.experiment.validation
org.openimaj.ml.annotation.evaluation

Uses of AnalysisResult in org.openimaj.experiment.evaluation

Classes in org.openimaj.experiment.evaluation with type parameters of type AnalysisResult

Modifier and Type	Interface and Description
interface	Evaluator<T,Q extends AnalysisResult> Evaluators are used to perform evaluations.
interface	ResultAggregator<RESULT,AGGREGATED extends AnalysisResult> A ResultAggregator aggregates multiple results into a single AnalysisResult.

Uses of AnalysisResult in org.openimaj.experiment.evaluation.classification

Classes in org.openimaj.experiment.evaluation.classification with type parameters of type AnalysisResult

Modifier and Type	Interface and Description
interface	ClassificationAnalyser<RESULT extends AnalysisResult,CLASS,OBJECT> A ClassificationAnalyser is used to analyse the raw results from a Classifier in the context of a ClassificationEvaluator and to produce an AnalysisResult describing the performance of the ClassificationEvaluator.
class	ClassificationEvaluator<RESULT extends AnalysisResult,CLASS,OBJECT> Implementation of an Evaluator for the evaluation of classification experiments.

Uses of AnalysisResult in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix

Classes in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix that implement AnalysisResult

Modifier and Type	Class and Description
class	AggregatedCMResult<CLASS> Aggregated confusion matrix results
class	CMResult<CLASS> Results of a confusion matrix analysis using the CMAnalyser.

Uses of AnalysisResult in org.openimaj.experiment.evaluation.classification.analysers.roc

Classes in org.openimaj.experiment.evaluation.classification.analysers.roc that implement AnalysisResult

Modifier and Type	Class and Description
class	ROCResult<CLASS> An AnalysisResult representing a set of ROC curves and associated statistics.

Uses of AnalysisResult in org.openimaj.experiment.evaluation.cluster

Classes in org.openimaj.experiment.evaluation.cluster with type parameters of type AnalysisResult

Modifier and Type	Class and Description
class	ClusterEvaluator<D,T extends AnalysisResult>
class	RangedAnalysisResult<KEY,ANA extends AnalysisResult>
class	RangedDBSCANClusterEvaluator<D,T extends AnalysisResult>

Classes in org.openimaj.experiment.evaluation.cluster that implement AnalysisResult

Modifier and Type	Class and Description
class	RangedAnalysisResult<KEY,ANA extends AnalysisResult>

Uses of AnalysisResult in org.openimaj.experiment.evaluation.cluster.analyser

Classes in org.openimaj.experiment.evaluation.cluster.analyser with type parameters of type AnalysisResult

Modifier and Type	Interface and Description
interface	ClusterAnalyser<T extends AnalysisResult>
class	DecisionClusterAnalyser<T extends AnalysisResult> Gather the true positives, true negatives, false positives, false negatives for a DecisionAnalysis instance
class	RandomBaselineClusterAnalyser<ANNER extends ClusterAnalyser<ANNYS>,ANNYS extends RandomBaselineWrappable & AnalysisResult> Wraps the functionality of any ClusterAnalyser as corrected by a Random baseline.
class	RandomBaselineClusterAnalysis<T extends RandomBaselineWrappable & AnalysisResult> The result of a TestRandomBaselineClusterAnalyser which wraps the baseline result and result of an AnalysisResult

Classes in org.openimaj.experiment.evaluation.cluster.analyser that implement AnalysisResult

Modifier and Type	Class and Description
class	AdjustedRandomIndexAnalysis The adjsuted random index as described by: http://faculty.washington.edu/kayee/pca/supp.pdf
class	ClusterStatsAnalysis Counts some overall statistics of cluster evaluation such as min, max and average cluster length
class	DecisionAnalysis Counting the number of true positives, true negatives, flase postitives and false negatives one can produce various cluster quality metrics including the fscore and randindex
class	FScoreAnalysis Uses a decision analysis to produce the random index result
class	FullMEAnalysis Sina Samangooei (ss@ecs.soton.ac.uk)
class	NMIAnalysis Measures normalised mutual information.
class	PurityAnalysis A measure of how pure each cluster is.
class	RandomBaselineClusterAnalysis<T extends RandomBaselineWrappable & AnalysisResult> The result of a TestRandomBaselineClusterAnalyser which wraps the baseline result and result of an AnalysisResult
class	RandomBaselineSMEAnalysis Results of applying a RandomBaselineSMEAnalysis to evaluate clustering.
class	RandomIndexAnalysis Uses a decision analysis to produce the random index result
class	SimpleMEAnalysis Result of applying a SimpleMEClusterAnalyser.

Fields in org.openimaj.experiment.evaluation.cluster.analyser declared as AnalysisResult

Modifier and Type	Field and Description
AnalysisResult	FullMEAnalysis.adjRandInd

Uses of AnalysisResult in org.openimaj.experiment.evaluation.retrieval

Classes in org.openimaj.experiment.evaluation.retrieval with type parameters of type AnalysisResult

Modifier and Type	Interface and Description
interface	RetrievalAnalyser<RESULT extends AnalysisResult,QUERY,DOCUMENT extends Identifiable> A RetrievalAnalyser is used to analyse the raw search results from a RetrievalEngine in the context of a RetrievalEvaluator and to produce an AnalysisResult describing the performance of the RetrievalEngine.
class	RetrievalEvaluator<RESULT extends AnalysisResult,DOCUMENT extends Identifiable,QUERY> An implementation of an Evaluator for the evaluation of retrieval experiments using the Cranfield methodology.

Uses of AnalysisResult in org.openimaj.experiment.evaluation.retrieval.analysers

Classes in org.openimaj.experiment.evaluation.retrieval.analysers that implement AnalysisResult

Modifier and Type	Class and Description
class	IREvalResult An AnalysisResult that is bascked by a SetRetrievalEvaluator to capture the results of a retrieval experiment.
class	PrecisionAtNResult<QUERY> AnalysisResult used with PrecisionAtN to hold the P@N precision after N documents have been retrieved.
class	TRECResult An AnalysisResult wrapping the output of the trec_eval tool.

Uses of AnalysisResult in org.openimaj.experiment.validation

Methods in org.openimaj.experiment.validation with type parameters of type AnalysisResult

Modifier and Type	Method and Description
static <DATASET extends Dataset<?>,ANALYSIS_RESULT,AGGREGATE_ANALYSIS_RESULT extends AnalysisResult> AGGREGATE_ANALYSIS_RESULT	ValidationRunner.run(ResultAggregator<ANALYSIS_RESULT,AGGREGATE_ANALYSIS_RESULT> aggregator, DATASET dataset, CrossValidator<DATASET> cv, ValidationOperation<DATASET,ANALYSIS_RESULT> round) Perform cross validation using the given cross validation scheme on the given data.
static <DATASET extends Dataset<?>,ANALYSIS_RESULT,AGGREGATE_ANALYSIS_RESULT extends AnalysisResult> AGGREGATE_ANALYSIS_RESULT	ValidationRunner.run(ResultAggregator<ANALYSIS_RESULT,AGGREGATE_ANALYSIS_RESULT> aggregator, DATASET dataset, CrossValidator<DATASET> cv, ValidationOperation<DATASET,ANALYSIS_RESULT> round, ThreadPoolExecutor pool) Perform cross validation using the given cross validation scheme on the given data.

Uses of AnalysisResult in org.openimaj.ml.annotation.evaluation

Methods in org.openimaj.ml.annotation.evaluation with type parameters of type AnalysisResult

Modifier and Type	Method and Description
<RESULT extends AnalysisResult> ClassificationEvaluator<RESULT,ANNOTATION,OBJECT>	AnnotationEvaluator.newClassificationEvaluator(ClassificationAnalyser<RESULT,ANNOTATION,OBJECT> analyser) Make a new ClassificationEvaluator, backed by the annotations computed by this AnnotationEvaluator, with the given ClassificationAnalyser.
<RESULT extends AnalysisResult> RetrievalEvaluator<RESULT,OBJECT,ANNOTATION>	AnnotationEvaluator.newRetrievalEvaluator(RetrievalAnalyser<RESULT,ANNOTATION,OBJECT> analyser) Make a new RetrievalEvaluator, backed by the annotations computed by this AnnotationEvaluator, with the given RetrievalAnalyser.