Uses of Class
de.jungblut.classification.AbstractClassifier
-
-
Uses of AbstractClassifier in de.jungblut.classification.bayes
Subclasses of AbstractClassifier in de.jungblut.classification.bayes Modifier and Type Class Description classMultinomialNaiveBayesMultinomial naive bayes classifier. -
Uses of AbstractClassifier in de.jungblut.classification.knn
Subclasses of AbstractClassifier in de.jungblut.classification.knn Modifier and Type Class Description classAbstractKNearestNeighboursK nearest neighbour classification algorithm that is seeded with a "database" of known examples and predicts based on the k-nearest neighbours majority vote for a class.classKNearestNeighboursK nearest neighbour classification algorithm that is seeded with a "database" of known examples and predicts based on the k-nearest neighbours majority vote for a class.classSparseKNearestNeighboursK nearest neighbour classification algorithm that is seeded with a "database" of known examples and predicts based on the k-nearest neighbours majority vote for a class. -
Uses of AbstractClassifier in de.jungblut.classification.meta
Subclasses of AbstractClassifier in de.jungblut.classification.meta Modifier and Type Class Description classVoter<A extends Classifier>Implementation of vote ensembling. -
Uses of AbstractClassifier in de.jungblut.classification.nn
Subclasses of AbstractClassifier in de.jungblut.classification.nn Modifier and Type Class Description classMultilayerPerceptronMultilayer perceptron implementation that works on GPU via JCuda and CPU. -
Uses of AbstractClassifier in de.jungblut.classification.regression
Subclasses of AbstractClassifier in de.jungblut.classification.regression Modifier and Type Class Description classLogisticRegression -
Uses of AbstractClassifier in de.jungblut.classification.tree
Subclasses of AbstractClassifier in de.jungblut.classification.tree Modifier and Type Class Description classDecisionTreeA decision tree that can be used for classification with numerical or categorical features.classRandomForestA decision tree forest, using bagging. -
Uses of AbstractClassifier in de.jungblut.ner
Subclasses of AbstractClassifier in de.jungblut.ner Modifier and Type Class Description classMaxEntMarkovModelMaximum entropy markov model for named entity recognition (classifying labels in sequence learning). -
Uses of AbstractClassifier in de.jungblut.nlp
Subclasses of AbstractClassifier in de.jungblut.nlp Modifier and Type Class Description classHMMHidden Markov Model implementation for multiple observations for all three types of problems HMM aims to solve (Decoding, likelihood estimation, unsupervised/supervised learning).
-