Package | Description |
---|---|
weka.classifiers.bayes | |
weka.classifiers.bayes.net.estimate | |
weka.estimators |
Modifier and Type | Field and Description |
---|---|
Estimator[][] |
BayesNet.m_Distributions
The attribute estimators containing CPTs.
|
Modifier and Type | Method and Description |
---|---|
Estimator[][] |
BayesNet.getDistributions()
Get full set of estimators.
|
Modifier and Type | Class and Description |
---|---|
class |
DiscreteEstimatorBayes
Symbolic probability estimator based on symbol counts and a prior.
|
class |
DiscreteEstimatorFullBayes
Symbolic probability estimator based on symbol counts and a prior.
|
Modifier and Type | Class and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
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 |
NNConditionalEstimator.getEstimator(double given)
Get a probability estimator for a value
|
Estimator |
KKConditionalEstimator.getEstimator(double given)
Get a probability estimator for a value
|
Estimator |
DKConditionalEstimator.getEstimator(double given)
Get a probability estimator for a value
|
Estimator |
ConditionalEstimator.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 |
KDConditionalEstimator.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.
|
Modifier and Type | Method and Description |
---|---|
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.
|
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