Uses of Class
adams.data.evaluator.instance.AbstractEvaluator

Packages that use AbstractEvaluator

Package	Description
adams.data.evaluator.instance
adams.flow.core
adams.flow.transformer

Uses of AbstractEvaluator in adams.data.evaluator.instance

Subclasses of AbstractEvaluator in adams.data.evaluator.instance

Modifier and Type	Class	Description
class	AbstractNearestNeighborBasedEvaluator	Ancestor for evaluators that use a nearest neighbor search.
class	AbstractSerializableEvaluator	Abstract evaluator that can serialize its setup to disk and also load it from there.
class	CrossValidatedNeighborHood	Evaluator that cross-validates the specified classifier on the neighborhood determined for the instance under evaluation.
class	CrossValidatedPrediction	Evaluator that (kind of) cross-validates the specified classifier on the neighborhood determined for the instance under evaluation. A classifier is built on each of the training sets that is generated for the cross-validation.
class	DistanceToCenter	Uses the specified nearest neighbor search to determine a neighborhood.
class	DistanceToClosest	Uses the specified nearest neighbor search to locate the closest instance in the training data and returns the distance to it.
class	EnsembleEvaluator	Builds an ensemble of classifiers on the training data to determine the MAE per classifier, to be used as normalization factor. At evaluation time, each classifier makes a prediction on the instance and the classification is divided by the normalization factor for this classifier.
class	FakeEvaluator	Fake evaluator, outputs random values based on min/max values.
class	IntervalEstimatorEvaluator	Stores the interval provided by the interval estimator classifier
class	MultiClassifierEvaluator	Multi-classifier based evaluator.
class	NullEvaluator	Dummy evaluator, which always return 1.0 as evaluation result.
class	SavitzkyGolayRange	This evaluator builds three classifiers: - on Savitzky-Golay filtered data with no derivative - on Savitzky-Golay filtered data with first derivative - on Savitzky-Golay filtered data with second derivative Each instance under evaluation will be pushed through the three classifiers separately and the range of the three predictions is then output as evaluation result.

Methods in adams.data.evaluator.instance that return AbstractEvaluator

Modifier and Type	Method	Description
static AbstractEvaluator	AbstractEvaluator.forCommandLine(String cmdline)	Instantiates the filter from the given commandline (i.e., classname and optional options).
static AbstractEvaluator	AbstractEvaluator.forName(String classname, String[] options)	Instantiates the filter with the given options.
AbstractEvaluator	AbstractEvaluator.shallowCopy()	Returns a shallow copy of itself, i.e., based on the commandline options.
AbstractEvaluator	AbstractEvaluator.shallowCopy(boolean expand)	Returns a shallow copy of itself, i.e., based on the commandline options.

Uses of AbstractEvaluator in adams.flow.core

Methods in adams.flow.core that return AbstractEvaluator

Modifier and Type	Method	Description
protected AbstractEvaluator	EvaluatorModelLoader.getModelFromContainer(adams.flow.container.AbstractContainer cont, adams.core.MessageCollection errors)	Retrieves the model from the container.

Uses of AbstractEvaluator in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractEvaluator

Modifier and Type	Field	Description
protected AbstractEvaluator	Evaluator.m_ActualEvaluator	the evaluator used for training/evaluating.
protected AbstractEvaluator	Evaluator.EvaluateJob.m_Evaluator	the evaluator to train.
protected AbstractEvaluator	Evaluator.m_Evaluator	the evaluator.

Methods in adams.flow.transformer that return AbstractEvaluator

Modifier and Type	Method	Description
AbstractEvaluator	Evaluator.getEvaluator()	Returns the evaluator in use.

Methods in adams.flow.transformer with parameters of type AbstractEvaluator

Modifier and Type	Method	Description
void	Evaluator.setEvaluator(AbstractEvaluator value)	Sets the evaluator to use.

Constructors in adams.flow.transformer with parameters of type AbstractEvaluator

Constructor	Description
EvaluateJob(AbstractEvaluator evaluator, weka.core.Instances data)	Initializes the job.