Package | Description |
---|---|
org.encog.mathutil.randomize | |
org.encog.mathutil.randomize.generate | |
org.encog.ml.data.cross | |
org.encog.ml.data.versatile | |
org.encog.ml.data.versatile.division |
Modifier and Type | Method and Description |
---|---|
GenerateRandom |
BasicRandomizer.getRandom() |
GenerateRandom |
Randomizer.getRandom() |
Modifier and Type | Method and Description |
---|---|
void |
BasicRandomizer.setRandom(GenerateRandom theRandom) |
void |
Randomizer.setRandom(GenerateRandom theRandom)
Explicitly set the Random source
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractBoxMuller
Provides the ability for subclasses to generate normally distributed random numbers.
|
class |
AbstractGenerateRandom
Provides a foundation for most random number generation.
|
class |
BasicGenerateRandom
A wrapper over Java's built in random number generator.
|
class |
LinearCongruentialRandom
A Linear Congruential random number generator.
|
class |
MersenneTwisterGenerateRandom
The Mersenne twister is a pseudo random number generator developed in 1997 by Makoto Matsumoto and
Takuji Nishimura that is based on a matrix linear recurrence over a finite binary field F2.
|
class |
MultiplyWithCarryGenerateRandom
In Multiply with Carry (MWC) is a pseudo random number generator computer science, multiply-with-carry (MWC)
is a method invented by George Marsaglia for generating sequences of random integers based on an initial set
from two to many thousands of randomly chosen seed values.
|
class |
SecureGenerateRandom
A wrapper over Java's crypto secure random number generator.
|
Modifier and Type | Method and Description |
---|---|
GenerateRandom |
KFoldCrossvalidation.getRnd() |
Modifier and Type | Method and Description |
---|---|
void |
KFoldCrossvalidation.setRnd(GenerateRandom rnd) |
Modifier and Type | Method and Description |
---|---|
void |
VersatileMLDataSet.divide(List<DataDivision> dataDivisionList,
boolean shuffle,
GenerateRandom rnd)
Divide, and optionally shuffle, the dataset.
|
Modifier and Type | Method and Description |
---|---|
GenerateRandom |
PerformDataDivision.getRandom() |
Constructor and Description |
---|
PerformDataDivision(boolean theShuffle,
GenerateRandom theRandom)
Construct the data division processor.
|
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