org.eclipse.january.dataset

Class Random

java.lang.Object

org.eclipse.january.dataset.Random

public class Random
extends Object

Class to hold methods to create random datasets Emulates numpy.random

Constructor Summary

Constructors

Constructor and Description
Random()

Method Summary

Modifier and Type	Method and Description
static DoubleDataset	exponential(double beta, int... shape)
static ILazyDataset	lazyRand(int... shape)
static ILazyDataset	lazyRand(int dtype, String name, int... shape)
static ILazyDataset	lazyRand(String name, int... shape)
static IntegerDataset	poisson(double lam, int... shape)
static DoubleDataset	rand(double low, double high, int... shape)
static DoubleDataset	rand(int... shape)
static IntegerDataset	randint(int low, int high, int[] shape)
static DoubleDataset	randn(double mean, double std, int... shape)
static DoubleDataset	randn(int... shape)
static IntegerDataset	random_integers(int low, int high, int[] shape)
static void	seed(int seed)
static void	seed(int[] seed)
static void	seed(long seed)

Methods inherited from class java.lang.Object

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

Constructor Detail

Random

public Random()

Method Detail

seed

public static void seed(int seed)

Parameters:

seed -

seed

public static void seed(int[] seed)

Parameters:

seed -

seed

public static void seed(long seed)

Parameters:

seed -

rand

public static DoubleDataset rand(int... shape)

Parameters:

shape -

Returns:

an array of values sampled from a uniform distribution between 0 (inclusive) and 1 (exclusive)

rand

public static DoubleDataset rand(double low,
                                 double high,
                                 int... shape)

Parameters:

low -

high -

shape -

Returns:

an array of values sampled from a uniform distribution between low and high (both exclusive)

randn

public static DoubleDataset randn(int... shape)

Parameters:

shape -

Returns:

an array of values sampled from a Gaussian distribution with mean 0 and variance 1 (The term Gaussian here is a description of a shape of data taken from the mathematician of the same name Carl Friedrich Gauss http://en.wikipedia.org/wiki/Carl_Friedrich_Gauss born in 1777.)

randn

public static DoubleDataset randn(double mean,
                                  double std,
                                  int... shape)

Parameters:

mean -

std - standard deviation

shape -

Returns:

an array of values sampled from a Gaussian distribution with given mean and standard deviation

randint

public static IntegerDataset randint(int low,
                                     int high,
                                     int[] shape)

Parameters:

low -

high -

shape -

Returns:

an array of values sampled from a discrete uniform distribution in range [low, high)

random_integers

public static IntegerDataset random_integers(int low,
                                             int high,
                                             int[] shape)

Parameters:

low -

high -

shape -

Returns:

an array of values sampled from a discrete uniform distribution in range [low, high]

exponential

public static DoubleDataset exponential(double beta,
                                        int... shape)

Parameters:

beta -

shape -

Returns:

an array of values sampled from an exponential distribution with mean beta

poisson

public static IntegerDataset poisson(double lam,
                                     int... shape)

Parameters:

lam -

shape -

Returns:

an array of values sampled from an exponential distribution with mean lambda

lazyRand

public static ILazyDataset lazyRand(int... shape)

Parameters:

shape -

Returns:

a lazy dataset with uniformly distributed random numbers

lazyRand

public static ILazyDataset lazyRand(String name,
                                    int... shape)

Parameters:

name -

shape -

Returns:

a lazy dataset with uniformly distributed random numbers

lazyRand

public static ILazyDataset lazyRand(int dtype,
                                    String name,
                                    int... shape)

Parameters:

dtype -

name -

shape -

Returns:

a lazy dataset with uniformly distributed random numbers