Batch Processing
Algorithm Input
Input ID

Input
 

X 
Pointer to the
n
x
p
numeric table that represents the matrix
X
. This table can be an object of any class derived from
NumericTable
.
 
Y 
Pointer to the
m
x
p
numeric table that represents the matrix
Y
. This table can be an object of any class derived from
NumericTable
.

Algorithm Parameters
Parameter

Default Value

Description
 

algorithmFPType 
float 
The floatingpoint type that the algorithm uses for intermediate computations. Can be
float
or
double
.
 
method 
defaultDense 
Available computation methods:
 
ComputationMode 
matrixMatrix 
Computation mode for the kernel function. Can be:
 
rowIndexX 
0

Index
i
of the vector in the set
X
for the
vectorVector
computation mode.
 
rowIndexY 
0

Index
j
of the vector in the set
Y
for the
vectorVector
or
matrixVector
computation mode.
 
rowIndexResult 
0

Row index in the
values
numeric table to locate the result of the computation for the
vectorVector
computation mode.
 
k 
1

The coefficient
k
of the linear kernel.
 
b 
0

The coefficient
b
of the linear kernel.

Algorithm Output
Result ID

Result
 

values 
Pointer to the
n
x
m
numeric table with the values of the kernel function. By default, this result is an object of the
HomogenNumericTable
class, but you can define the result as an object of any class derived from
NumericTable
except
PackedSymmetricMatrix
,
PackedTriangularMatrix
, and
CSRNumericTable
.
