Class DistantSampler

java.lang.Object

DistantSampler

public class DistantSampler
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
DistantSampler()

Method Summary

Modifier and Type	Method and Description
static double[][]	generateUniformData(int numPoints, int dimensions, long seed) Generate a rectangular matrix of random uniform data in the range [0, 1) for a given number of vectors, the number of dimensions of each vectors, and a random number seed.
static void	main(java.lang.String[] args) Generate data using generateUniformData(100, 2, 0L), create a DistantSamplerState with this data for 10 samples, optimize with sample(), print the resulting state, print the energy, and visualize the result in text.
static DistantSamplerState	sample(double[][] data, int numSamples)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DistantSampler

public DistantSampler()

Method Detail

generateUniformData

public static double[][] generateUniformData(int numPoints,
                                             int dimensions,
                                             long seed)

Generate a rectangular matrix of random uniform data in the range [0, 1) for a given number of vectors, the number of dimensions of each vectors, and a random number seed. Each row of the matrix is uniformly random vector of the given number of dimensions.

Parameters:

numPoints - the given number of data vectors

dimensions - the given number of dimensions per vector

seed - random number seed for data generation

Returns:

a rectangular matrix of random uniform data in the range [0, 1) for a given number of vectors, the number of dimensions of each vectors, and a random number seed

sample

public static DistantSamplerState sample(double[][] data,
                                         int numSamples)

Parameters:

data - a rectangular matrix in which each row is a data vector

numSamples - the number of vector samples to be selected from the given data

Returns:

a DistantSampleState optimized for these parameters using no more than 10000 iterations. For the data set generated by generateUniformData(100, 2, 0L), your median energy should be less than 132.

main

public static void main(java.lang.String[] args)

Generate data using generateUniformData(100, 2, 0L), create a DistantSamplerState with this data for 10 samples, optimize with sample(), print the resulting state, print the energy, and visualize the result in text.

Parameters:

args - (not used)