MultivariateEstimator

All Known Implementing Classes:

MultivariateGaussianEstimator
```
public interface MultivariateEstimator
```
Interface to Multivariate Distribution Estimation

Version:

$Revision: 12743 $

Author:

Uday Kamath, PhD candidate George Mason University

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`estimate(double[][] value, double[] weight)`	Fits the value to the density estimator.
`double`	`logDensity(double[] value)`	Returns the natural logarithm of the density estimate at the given point.

- Method Detail
  - estimate
```
void estimate(double[][] value,
              double[] weight)
```
    Fits the value to the density estimator.
    
    Parameters:
    
    value - the value to add
    
    weight - the weight of the value
  - logDensity
```
double logDensity(double[] value)
```
    Returns the natural logarithm of the density estimate at the given point.
    
    Parameters:
    
    value - the value at which to evaluate
    
    Returns:
    
    the natural logarithm of the density estimate at the given value