Uses of Interface
de.jungblut.classification.Predictor

Packages that use Predictor

Package	Description
de.jungblut.classification
de.jungblut.classification.bayes
de.jungblut.classification.eval
de.jungblut.classification.knn
de.jungblut.classification.meta
de.jungblut.classification.nn
de.jungblut.classification.regression
de.jungblut.classification.tree
de.jungblut.ner
de.jungblut.nlp

Uses of Predictor in de.jungblut.classification

Subinterfaces of Predictor in de.jungblut.classification

Modifier and Type	Interface and Description
interface	Classifier Classifier interface for predicting categorial variables.

Classes in de.jungblut.classification that implement Predictor

Modifier and Type	Class and Description
class	AbstractClassifier Abstract base class for classifiers.
class	AbstractPredictor
class	UntrainableClassifier

Constructors in de.jungblut.classification with parameters of type Predictor

Constructor and Description
UntrainableClassifier(Predictor predictor)

Uses of Predictor in de.jungblut.classification.bayes

Classes in de.jungblut.classification.bayes that implement Predictor

Modifier and Type	Class and Description
class	MultinomialNaiveBayes Multinomial naive bayes classifier.

Uses of Predictor in de.jungblut.classification.eval

Methods in de.jungblut.classification.eval with parameters of type Predictor

Modifier and Type	Method and Description
static int	Evaluator.observeBinaryClassificationElement(Predictor predictor, Double threshold, Evaluator.EvaluationResult result, de.jungblut.math.DoubleVector outcomeVector, de.jungblut.math.DoubleVector predictedVector)
static Evaluator.EvaluationResult	Evaluator.testClassifier(Predictor classifier, de.jungblut.math.DoubleVector[] testFeatures, de.jungblut.math.DoubleVector[] testOutcome) Tests the given classifier without actually training it.
static Evaluator.EvaluationResult	Evaluator.testClassifier(Predictor classifier, de.jungblut.math.DoubleVector[] testFeatures, de.jungblut.math.DoubleVector[] testOutcome, Double threshold) Tests the given classifier without actually training it.

Uses of Predictor in de.jungblut.classification.knn

Classes in de.jungblut.classification.knn that implement Predictor

Modifier and Type	Class and Description
class	AbstractKNearestNeighbours K 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.
class	KNearestNeighbours K 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.
class	SparseKNearestNeighbours K 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 Predictor in de.jungblut.classification.meta

Classes in de.jungblut.classification.meta that implement Predictor

Modifier and Type	Class and Description
class	Voter<A extends Classifier> Implementation of vote ensembling.

Uses of Predictor in de.jungblut.classification.nn

Classes in de.jungblut.classification.nn that implement Predictor

Modifier and Type	Class and Description
class	MultilayerPerceptron Multilayer perceptron implementation that works on GPU via JCuda and CPU.

Uses of Predictor in de.jungblut.classification.regression

Classes in de.jungblut.classification.regression that implement Predictor

Modifier and Type	Class and Description
class	LogisticRegression

Uses of Predictor in de.jungblut.classification.tree

Classes in de.jungblut.classification.tree that implement Predictor

Modifier and Type	Class and Description
class	DecisionTree A decision tree that can be used for classification with numerical or categorical features.
class	RandomForest A decision tree forest, using bagging.

Uses of Predictor in de.jungblut.ner

Classes in de.jungblut.ner that implement Predictor

Modifier and Type	Class and Description
class	MaxEntMarkovModel Maximum entropy markov model for named entity recognition (classifying labels in sequence learning).

Uses of Predictor in de.jungblut.nlp

Classes in de.jungblut.nlp that implement Predictor

Modifier and Type	Class and Description
class	HMM Hidden Markov Model implementation for multiple observations for all three types of problems HMM aims to solve (Decoding, likelihood estimation, unsupervised/supervised learning).