|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Objectbe.ac.ulg.montefiore.run.jahmm.OpdfGaussian
public class OpdfGaussian
This class represents a (monovariate) gaussian distribution function.
Constructor Summary | |
---|---|
OpdfGaussian()
Builds a new gaussian probability distribution with zero mean and unit variance. |
|
OpdfGaussian(double mean,
double variance)
Builds a new gaussian probability distribution with a given mean and covariance matrix. |
Method Summary | |
---|---|
OpdfGaussian |
clone()
|
void |
fit(java.util.Collection<? extends ObservationReal> co)
Fits this observation probability (distribution) function to a (non empty) set of observations. |
void |
fit(java.util.Collection<? extends ObservationReal> co,
double[] weights)
Fits this observation probability (distribution) function to a weighted (non empty) set of observations. |
void |
fit(ObservationReal... oa)
Fits this observation probability (distribution) function to a (non empty) set of observations. |
void |
fit(ObservationReal[] o,
double[] weights)
Fits this observation probability (distribution) function to a weighted (non empty) set of observations. |
ObservationReal |
generate()
Generates a (pseudo) random observation according to this distribution. |
double |
mean()
Returns this distribution's mean value. |
double |
probability(ObservationReal o)
Returns the probability (density) of an observation given a distribution. |
java.lang.String |
toString()
|
java.lang.String |
toString(java.text.NumberFormat numberFormat)
Returns a String describing this distribution. |
double |
variance()
Returns this distribution's variance. |
Methods inherited from class java.lang.Object |
---|
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
---|
public OpdfGaussian()
public OpdfGaussian(double mean, double variance)
mean
- The distribution's mean.variance
- The distribution's variance.Method Detail |
---|
public double mean()
public double variance()
public double probability(ObservationReal o)
Opdf
probability
in interface Opdf<ObservationReal>
o
- An observation.
o
takes continuous
values) of o
for this function.public ObservationReal generate()
Opdf
generate
in interface Opdf<ObservationReal>
public void fit(ObservationReal... oa)
Opdf
fit
in interface Opdf<ObservationReal>
oa
- An array of observations compatible with this function.public void fit(java.util.Collection<? extends ObservationReal> co)
Opdf
fit
in interface Opdf<ObservationReal>
co
- A set of observations compatible with this function.public void fit(ObservationReal[] o, double[] weights)
Opdf
fit
in interface Opdf<ObservationReal>
o
- An array of observations compatible with this factory.weights
- The weight associated to each observation (such that
weight.length == o.length
and the sum of
all the elements equals 1).public void fit(java.util.Collection<? extends ObservationReal> co, double[] weights)
Opdf
fit
in interface Opdf<ObservationReal>
co
- A set of observations compatible with this factory.weights
- The weight associated to each observation (such that
weight.length == o.length
and the sum of
all the elements equals 1).public OpdfGaussian clone()
clone
in interface Opdf<ObservationReal>
clone
in class java.lang.Object
public java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String toString(java.text.NumberFormat numberFormat)
Opdf
String
describing this distribution.
toString
in interface Opdf<ObservationReal>
numberFormat
- A formatter used to convert the numbers (e.g.
probabilities) to strings.
String
describing this distribution.
|
||||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |