Uses of Interface
org.tweetyproject.machinelearning.Observation

Packages that use Observation

Package	Description
org.tweetyproject.machinelearning
org.tweetyproject.machinelearning.svm

Uses of Observation in org.tweetyproject.machinelearning

Classes in org.tweetyproject.machinelearning with type parameters of type Observation

Modifier and Type	Class	Description
class	ClassificationTester<S extends Observation,T extends Category>	Classes implementing this interface provide the means to test a training mechanism for performance.
class	CrossValidator<S extends Observation,T extends Category>	Performs cross-validation in a classifier, i.e.
class	GridSearchParameterLearner<S extends Observation,T extends Category>	A grid-search approach for learning parameters.
class	ParameterTrainer<S extends Observation,T extends Category>	Performs a parameter training on a given trainer, i.e.
interface	Trainer<S extends Observation,T extends Category>	The `Trainer` interface represents a generic trainer that can train a classifier on a given set of observations and categories.
class	TrainingSet<S extends Observation,T extends Category>	A set of observations together with their category.

Classes in org.tweetyproject.machinelearning that implement Observation

Modifier and Type	Class	Description
class	DefaultObservation	A default observation is a vector of double values, representing an observation for machine learning tasks.

Methods in org.tweetyproject.machinelearning with parameters of type Observation

Modifier and Type	Method	Description
Category	Classifier.classify(Observation obs)	Classifies the given observation.

Uses of Observation in org.tweetyproject.machinelearning.svm

Methods in org.tweetyproject.machinelearning.svm with parameters of type Observation

Modifier and Type	Method	Description
Category	SupportVectorMachine.classify(Observation obs)