AbstractMultivariateRealDistribution (VirtualDataSet API)

java.lang.Object
- org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution

All Implemented Interfaces:

MultivariateRealDistribution

Direct Known Subclasses:

MixtureMultivariateRealDistribution, MultivariateNormalDistribution
```
public abstract class AbstractMultivariateRealDistribution
extends java.lang.Object
implements MultivariateRealDistribution
```
Base class for multivariate probability distributions.

Since:

3.1

Nested Class Summary
- Nested classes/interfaces inherited from interface org.apache.commons.math4.distribution.MultivariateRealDistribution
  MultivariateRealDistribution.Sampler

Constructor Summary

Constructors
Modifier Constructor Description

protected AbstractMultivariateRealDistribution(int n)

Method Summary

Modifier and Type	Method	Description
`abstract MultivariateRealDistribution.Sampler`	`createSampler(UniformRandomProvider rng)`	Creates a sampler.
`int`	`getDimension()`	Gets the number of random variables of the distribution.
`static double[][]`	`sample(int n, MultivariateRealDistribution.Sampler sampler)`	Utility function for creating `n` vectors generated by the given `sampler`.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.commons.math4.distribution.MultivariateRealDistribution
density

- Constructor Detail
  - AbstractMultivariateRealDistribution
```
protected AbstractMultivariateRealDistribution(int n)
```
    Parameters:
    
    n - Number of dimensions.
- Method Detail
  - getDimension
```
public int getDimension()
```
    Gets the number of random variables of the distribution. It is the size of the array returned by the sample method.
    
    Specified by:
    
    getDimension in interface MultivariateRealDistribution
    
    Returns:
    
    the number of variables.
  - createSampler
```
public abstract MultivariateRealDistribution.Sampler createSampler(UniformRandomProvider rng)
```
    Creates a sampler.
    
    Specified by:
    
    createSampler in interface MultivariateRealDistribution
    
    Parameters:
    
    rng - Generator of uniformly distributed numbers.
    
    Returns:
    
    a sampler that produces random numbers according this distribution.
  - sample
```
public static double[][] sample(int n,
                                MultivariateRealDistribution.Sampler sampler)
```
    Utility function for creating n vectors generated by the given sampler.
    
    Parameters:
    
    n - Number of samples.
    
    sampler - Sampler.
    
    Returns:
    
    an array of size n whose elements are random vectors sampled from this distribution.