Uses of Class
weka.estimators.Estimator

Packages that use Estimator

weka.classifiers.bayes
weka.classifiers.bayes.net.estimate
weka.estimators

Uses of Estimator in weka.classifiers.bayes

Fields in weka.classifiers.bayes declared as Estimator

Estimator[][]

BayesNet.m_Distributions The attribute estimators containing CPTs.

Methods in weka.classifiers.bayes that return Estimator

Estimator[][]

BayesNet.getDistributions() Get full set of estimators.

Uses of Estimator in weka.classifiers.bayes.net.estimate

Subclasses of Estimator in weka.classifiers.bayes.net.estimate

class	DiscreteEstimatorBayes Symbolic probability estimator based on symbol counts and a prior.
class	DiscreteEstimatorFullBayes Symbolic probability estimator based on symbol counts and a prior.

Uses of Estimator in weka.estimators

Subclasses of Estimator in weka.estimators

class	DiscreteEstimator Simple symbolic probability estimator based on symbol counts.
class	KernelEstimator Simple kernel density estimator.
class	MahalanobisEstimator Simple probability estimator that places a single normal distribution over the observed values.
class	NormalEstimator Simple probability estimator that places a single normal distribution over the observed values.
class	PoissonEstimator Simple probability estimator that places a single Poisson distribution over the observed values.

Methods in weka.estimators that return Estimator

static Estimator	Estimator.clone(Estimator model) Creates a deep copy of the given estimator using serialization.
static Estimator	Estimator.forName(String name, String[] options) Creates a new instance of a estimatorr given it's class name and (optional) arguments to pass to it's setOptions method.
Estimator	CheckEstimator.getEstimator() Get the estimator used as the estimator
Estimator	ConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	NNConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	KKConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	KDConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	DDConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	DNConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	NDConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
Estimator	DKConditionalEstimator.getEstimator(double given) Get a probability estimator for a value
static Estimator[]	Estimator.makeCopies(Estimator model, int num) Creates a given number of deep copies of the given estimator using serialization.
static Estimator	Estimator.makeCopy(Estimator model) Creates a deep copy of the given estimator using serialization.

Methods in weka.estimators with parameters of type Estimator

static void	Estimator.buildEstimator(Estimator est, Instances instances, int attrIndex, int classIndex, int classValueIndex, boolean isIncremental)
static void	Estimator.buildEstimator(Estimator est, String[] options, boolean isIncremental) Build an estimator using the options.
static Estimator	Estimator.clone(Estimator model) Creates a deep copy of the given estimator using serialization.
static Estimator[]	Estimator.makeCopies(Estimator model, int num) Creates a given number of deep copies of the given estimator using serialization.
static Estimator	Estimator.makeCopy(Estimator model) Creates a deep copy of the given estimator using serialization.
void	CheckEstimator.setEstimator(Estimator newEstimator) Set the estimator for boosting.
static void	EstimatorUtils.writeCurve(String f, Estimator est, double min, double max, int numPoints) Output of an n points of a density curve.
static void	EstimatorUtils.writeCurve(String f, Estimator est, Estimator classEst, double classIndex, double min, double max, int numPoints) Output of an n points of a density curve.