Package se.lth.cs.nlp.nlputils.ml

Machine learning library.

See:
Description

Class Summary

BinaryLinearClassifier<T>	A binary linear classifier.
BinaryNumericClassifier<T>	Abstract class for binary numeric classifiers, such as classical linear or quadratic models.
BinaryQuadraticClassifier<T>	A binary quadratic classifier.
Classifier<ItemType>	Abstract class representing a classifier.
ClasswiseClassifier<T>	Multiclass classifier by applying a binary classifier for each class.
FeatureDeclaration	Declaration of a feature set.
FeatureExtractor<T>	Abstract class that represents the mapping from an item to a list of feature values.
FeatureList	A list of feature values.
MLConstants	Declares some public constants.
NumericEncoding	Mapping from symbolic feature values to numeric values.
PairwiseClassifier<T>	Multiclass classifier by applying a binary classifier for each pair of classes.
ProbabilityClassifier<T>	A classifier that can compute posterior class probabilities.

Package se.lth.cs.nlp.nlputils.ml Description

Machine learning library.