public static class MultivariateGaussian.SufficientStatistic extends AbstractSufficientStatistic<Vector,MultivariateGaussian>
| Modifier and Type | Field and Description |
|---|---|
static double |
DEFAULT_COVARIANCE
Default covariance of the statistics, 1.0E-5.
|
protected double |
defaultCovariance
Default covariance of the distribution
|
count| Constructor and Description |
|---|
SufficientStatistic()
Default constructor
|
SufficientStatistic(double defaultCovariance)
Creates a new instance of SufficientStatistic
|
| Modifier and Type | Method and Description |
|---|---|
void |
clear()
Resets this set of sufficient statistics to its empty state.
|
MultivariateGaussian.SufficientStatistic |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
MultivariateGaussian.PDF |
create()
Creates a new instance of an object.
|
void |
create(MultivariateGaussian distribution)
Modifies the given distribution with the parameters indicated by the
sufficient statistics
|
Matrix |
getCovariance()
Gets the covariance of the Gaussian.
|
double |
getDefaultCovariance()
Getter for defaultCovariance
|
Vector |
getMean()
Getter for mean
|
Matrix |
getSumSquaredDifferences()
Getter for sumSquaredDifferences
|
void |
setDefaultCovariance(double defaultCovariance)
Setter for defaultCovariance
|
void |
update(Vector value)
Updates the sufficient statistics from the given value
|
getCount, setCount, updatepublic static final double DEFAULT_COVARIANCE
protected double defaultCovariance
public SufficientStatistic()
public SufficientStatistic(double defaultCovariance)
defaultCovariance - Default covariance of the distributionpublic MultivariateGaussian.SufficientStatistic clone()
AbstractCloneableSerializableObject class and
removes the exception that it throws. Its default behavior is to
automatically create a clone of the exact type of object that the
clone is called on and to copy all primitives but to keep all references,
which means it is a shallow copy.
Extensions of this class may want to override this method (but call
super.clone() to implement a "smart copy". That is, to target
the most common use case for creating a copy of the object. Because of
the default behavior being a shallow copy, extending classes only need
to handle fields that need to have a deeper copy (or those that need to
be reset). Some of the methods in ObjectUtil may be helpful in
implementing a custom clone method.
Note: The contract of this method is that you must use
super.clone() as the basis for your implementation.clone in interface CloneableSerializableclone in class AbstractSufficientStatistic<Vector,MultivariateGaussian>public void clear()
public void update(Vector value)
SufficientStatisticvalue - Value to update the sufficient statisticspublic MultivariateGaussian.PDF create()
Factorypublic void create(MultivariateGaussian distribution)
SufficientStatisticdistribution - Distribution to modify by side effectpublic double getDefaultCovariance()
public void setDefaultCovariance(double defaultCovariance)
defaultCovariance - Default covariance of the distributionpublic Vector getMean()
public Matrix getSumSquaredDifferences()
public Matrix getCovariance()