scalation.random.RandomTenD
case class RandomTenD (dim : Int , dim2 : Int , dim3 : Int , max : Double , min : Double , density : Double , stream : Int ) extends VariateTen
The RandomTenD class generates a random tensor of doubles.
Value parameters
density
sparsity basis = 1 - density
dim
the number of rows in the tensor
dim2
the number of columns in the tensor
dim3
the number of sheets in the tensor
max
generate integers in the range 0 (inclusive) to max (inclusive)
min
generate integers in the range 0 (inclusive) to max (inclusive)
stream
the random number stream
Attributes
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Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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Members list
Determine the next random double tensor for the particular distribution.
Determine the next random double tensor for the particular distribution.
Attributes
Determine the next random integer tensor for the particular distribution. It is only valid for discrete random variates.
Determine the next random integer tensor for the particular distribution. It is only valid for discrete random variates.
Attributes
Compute the tensor mean for the particular distribution.
Compute the tensor mean for the particular distribution.
Attributes
Compute the probability function (pf): The probability density function (pdf) for continuous RVT's or the probability mass function (pmf) for discrete RVT's.
Compute the probability function (pf): The probability density function (pdf) for continuous RVT's or the probability mass function (pmf) for discrete RVT's.
Value parameters
z
the mass point/tensor whose probability is sought
Attributes
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
Attributes
Inherited from:
VariateTen
Attributes
Inherited from:
Product
Attributes
Inherited from:
Product