All Classes

  • AbstractActivationFunction
  • AbstractClassifier
  • AbstractKNearestNeighbours
  • AbstractMiniBatchCostFunction
  • AbstractMinimizer
  • AbstractPredictor
  • AbstractTreeNode
  • ActivationFunction
  • ActivationFunctionSelector
  • AgglomerativeClustering
  • AgglomerativeClustering.ClusterNode
  • ArrayIterator
  • ArrayJoiner
  • ArrayUtils
  • ArticleContentExtrator
  • ArticleContentExtrator.ContentFetchResult
  • AsyncBufferedOutputStream
  • BasicFeatureExtractor
  • BigramTokenizer
  • BitSetWritable
  • BlockPartitioner
  • Boundaries
  • Boundaries.Range
  • ByteBufferInputStream
  • CanopyClustering
  • Classifier
  • ClassifierFactory
  • Cluster
  • CollectionInputProvider
  • ConditionalLikelihoodCostFunction
  • ConsoleResultWriter
  • CosineDistance
  • CostFunction
  • CostGradientTuple
  • CountMinSketch
  • Crawler
  • CrossEntropyLoss
  • CsvDatasetReader
  • Dataset
  • DBSCAN
  • DBSCANClustering
  • DecisionTree
  • DenseMatrixFolder
  • DiskList
  • DiskList.IORuntimeException
  • DistanceMeasurer
  • DistanceResult
  • DocumentSimilarity
  • ElliotActivationFunction
  • EuclidianDistance
  • EvaluationListener
  • EvaluationSplit
  • Evaluator
  • Evaluator.EvaluationResult
  • Extractor
  • FeatureOutcomePair
  • FeatureType
  • FetchResult
  • FetchResultPersister
  • FetchThread
  • Fmincg
  • GradientDescent
  • GradientDescent.GradientDescentBuilder
  • HaversineDistance
  • HingeLoss
  • HMM
  • HtmlExtrator
  • HtmlExtrator.HtmlFetchResult
  • HuffmanTree
  • ImageReader
  • InputProvider
  • IntegerFunnel
  • InvertedIndex
  • InvertedIndex.DocumentDistanceMeasurer
  • InvertedIndex.DocumentMapper
  • IrisReader
  • Iterables
  • IterationCompletionListener
  • IterativeSimilarityAggregation
  • JaccardDistance
  • KMeansClustering
  • KNearestNeighbours
  • LeafNode
  • LinearActivationFunction
  • ListUtils
  • LogActivationFunction
  • LogisticRegression
  • LogisticRegressionCostFunction
  • LogLoss
  • LongFunnel
  • LossFunction
  • LRUCache
  • LUVColorSpace
  • ManhattanDistance
  • MarkovChain
  • MathUtils
  • MathUtils.PredictionOutcomePair
  • MatrixWritable
  • MaxEntMarkovModel
  • MeanAbsoluteLoss
  • MeanShiftClustering
  • Merger
  • MinHash
  • MinHash.HashType
  • Minimizer
  • MLPWeightMapper
  • MNISTReader
  • MultilayerPerceptron
  • MultilayerPerceptron.MultilayerPerceptronBuilder
  • MultilayerPerceptronCostFunction
  • MultilayerPerceptronCostFunction.NetworkConfiguration
  • MultinomialNaiveBayes
  • MultithreadedCrawler
  • MushroomReader
  • NegatedCostFunction
  • NominalNode
  • NumericalNode
  • OnePassExclusiveClustering
  • OutlinkExtractor
  • OWLQN
  • Pair
  • ParticleSwarmOptimization
  • Partitioner
  • Permutations
  • Predictor
  • RandomForest
  • RBM
  • RBM.RBMBuilder
  • RBMCostFunction
  • ReferencedContext
  • ReluActivationFunction
  • ResultWriter
  • ResultWriterAdapter
  • SequenceFeatureExtractor
  • SequenceFileResultWriter
  • SequentialCrawler
  • SigmoidActivationFunction
  • SimilarityMeasurer
  • SingleLinkedList
  • SoftMaxActivationFunction
  • SoftplusReluActivationFunction
  • SortedFile
  • SparseFeatureExtractorHelper
  • SparseKNearestNeighbours
  • SparseVectorDocumentMapper
  • Split
  • SquaredLoss
  • StackMap
  • StandardTokenizer
  • Statistics
  • StepActivationFunction
  • StepLoss
  • StringPool
  • TanhActivationFunction
  • TestSetIterationCallback
  • TextLineInputProvider
  • Tokenizer
  • TokenizerUtils
  • TrainingSplit
  • TrainingType
  • TreeCompiler
  • TwentyNewsgroupReader
  • UnrollableDoubleVector
  • UntrainableClassifier
  • VectorDocumentDistanceMeasurer
  • VectorFunnel
  • VectorizerUtils
  • VectorWritable
  • ViterbiUtils
  • Voter
  • Voter.CombiningType
  • Voter.SelectionType
  • WeightMapper
  • WeightMatrix
  • ZeroDistance