Class Hierarchy
- java.lang.Object
- it.uniroma2.sag.kelp.predictionfunction.classifier.BinaryClassifier (implements it.uniroma2.sag.kelp.predictionfunction.classifier.Classifier)
- it.uniroma2.sag.kelp.predictionfunction.classifier.BinaryMarginClassifierOutput (implements it.uniroma2.sag.kelp.predictionfunction.classifier.ClassificationOutput)
- it.uniroma2.sag.kelp.predictionfunction.model.BinaryModel (implements it.uniroma2.sag.kelp.predictionfunction.model.Model)
- it.uniroma2.sag.kelp.learningalgorithm.budgetedAlgorithm.BudgetedLearningAlgorithm (implements it.uniroma2.sag.kelp.learningalgorithm.BinaryLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.MetaLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.OnlineLearningAlgorithm)
- it.uniroma2.sag.kelp.data.clustering.Cluster (implements java.io.Serializable)
- it.uniroma2.sag.kelp.data.clustering.ClusterExample (implements java.lang.Comparable<T>, java.io.Serializable)
- it.uniroma2.sag.kelp.data.clustering.ClusterExampleTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.data.dataset.DatasetReader
- it.uniroma2.sag.kelp.kernel.tree.DeltaMatrix
- it.uniroma2.sag.kelp.data.representation.vector.DenseVector (implements it.uniroma2.sag.kelp.data.representation.Vector)
- it.uniroma2.sag.kelp.data.example.Example (implements java.io.Serializable)
- it.uniroma2.sag.kelp.data.example.ExampleFactory
- it.uniroma2.sag.kelp.data.example.ExampleTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.kernel.cache.FixIndexSquaredNormCache (implements it.uniroma2.sag.kelp.kernel.cache.SquaredNormCache)
- it.uniroma2.sag.kelp.utils.JacksonSerializerWrapper (implements it.uniroma2.sag.kelp.utils.ObjectSerializer)
- it.uniroma2.sag.kelp.kernel.Kernel
- it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans.KernelBasedKMeansEngine (implements it.uniroma2.sag.kelp.learningalgorithm.clustering.ClusteringAlgorithm)
- it.uniroma2.sag.kelp.kernel.cache.KernelCache
- it.uniroma2.sag.kelp.kernel.KernelTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.L2R_L2_SvcFunction
- it.uniroma2.sag.kelp.data.label.LabelFactory
- it.uniroma2.sag.kelp.data.label.LabelTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.learningalgorithm.LearningAlgorithmTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.LibLinearFeatureNode (implements it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.LibLinearFeature)
- it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.LibLinearLearningAlgorithm (implements it.uniroma2.sag.kelp.learningalgorithm.BinaryLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.classification.ClassificationLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.LinearMethod)
- it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver.LibSvmSolver (implements it.uniroma2.sag.kelp.learningalgorithm.BinaryLearningAlgorithm)
- it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver.LibCSvmSolver
- it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver.LibNuSvmSolver
- it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver.LibSvmSolver.Pair
- it.uniroma2.sag.kelp.utils.Math
- it.uniroma2.sag.kelp.predictionfunction.model.MulticlassModel (implements it.uniroma2.sag.kelp.predictionfunction.model.Model)
- it.uniroma2.sag.kelp.learningalgorithm.MultiEpochLearning (implements it.uniroma2.sag.kelp.learningalgorithm.MetaLearningAlgorithm)
- it.uniroma2.sag.kelp.data.label.NumericLabel (implements it.uniroma2.sag.kelp.data.label.Label)
- it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass.OneVsAllClassificationOutput (implements it.uniroma2.sag.kelp.predictionfunction.classifier.ClassificationOutput)
- it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass.OneVsAllClassifier (implements it.uniroma2.sag.kelp.predictionfunction.classifier.Classifier)
- it.uniroma2.sag.kelp.learningalgorithm.classification.multiclassification.OneVsAllLearning (implements it.uniroma2.sag.kelp.learningalgorithm.classification.ClassificationLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.MetaLearningAlgorithm)
- it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass.OneVsOneClassificationOutput (implements it.uniroma2.sag.kelp.predictionfunction.classifier.ClassificationOutput)
- it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass.OneVsOneClassifier (implements it.uniroma2.sag.kelp.predictionfunction.classifier.Classifier)
- it.uniroma2.sag.kelp.learningalgorithm.classification.multiclassification.OneVsOneLearning (implements it.uniroma2.sag.kelp.learningalgorithm.classification.ClassificationLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.MetaLearningAlgorithm)
- it.uniroma2.sag.kelp.learningalgorithm.PassiveAggressive (implements it.uniroma2.sag.kelp.learningalgorithm.BinaryLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.LearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.OnlineLearningAlgorithm)
- it.uniroma2.sag.kelp.learningalgorithm.classification.pegasos.PegasosLearningAlgorithm (implements it.uniroma2.sag.kelp.learningalgorithm.BinaryLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.classification.ClassificationLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.LinearMethod)
- it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron.Perceptron (implements it.uniroma2.sag.kelp.learningalgorithm.BinaryLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.classification.ClassificationLearningAlgorithm, it.uniroma2.sag.kelp.learningalgorithm.OnlineLearningAlgorithm)
- it.uniroma2.sag.kelp.predictionfunction.PredictionFunctionTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.Problem
- it.uniroma2.sag.kelp.data.representation.RepresentationFactory
- it.uniroma2.sag.kelp.data.representation.RepresentationTypeResolver (implements com.fasterxml.jackson.databind.jsontype.TypeIdResolver)
- it.uniroma2.sag.kelp.data.dataset.SimpleDataset (implements it.uniroma2.sag.kelp.data.dataset.Dataset)
- it.uniroma2.sag.kelp.data.representation.vector.SparseVector (implements it.uniroma2.sag.kelp.data.representation.Vector)
- it.uniroma2.sag.kelp.data.label.StringLabel (implements it.uniroma2.sag.kelp.data.label.Label)
- it.uniroma2.sag.kelp.data.representation.string.StringRepresentation (implements it.uniroma2.sag.kelp.data.representation.Representation)
- it.uniroma2.sag.kelp.predictionfunction.model.SupportVector
- it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver.SvmSolution
- java.lang.Throwable (implements java.io.Serializable)
- it.uniroma2.sag.kelp.data.representation.tree.utils.TreeIO
- it.uniroma2.sag.kelp.data.representation.tree.TreeNode (implements java.lang.Comparable<T>, java.io.Serializable)
- it.uniroma2.sag.kelp.data.representation.tree.TreeNodePairs (implements java.io.Serializable)
- it.uniroma2.sag.kelp.data.representation.tree.TreeRepresentation (implements it.uniroma2.sag.kelp.data.representation.Representation)
- it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.Tron
- it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateRegressionFunction (implements it.uniroma2.sag.kelp.predictionfunction.regressionfunction.RegressionFunction)
- it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateRegressionOutput (implements it.uniroma2.sag.kelp.predictionfunction.regressionfunction.RegressionOutput)
Interface Hierarchy
Enum Hierarchy
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