Batch Processing

Algorithm Input

The linear kernel function accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.

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

The linear kernel function has the following parameters:

Parameter	Default Value	Description
algorithmFPType	double	The floating-point type that the algorithm uses for intermediate computations. Can be float or double.
method	defaultDense	Available computation methods: defaultDense - performance-oriented method fastCSR - performance-oriented method for CSR numeric tables
ComputationMode	matrixMatrix	Computation mode for the kernel function. Can be: vectorVector - compute the kernel function for given feature vectors `x`_i and `y`_j matrixVector - compute the kernel function for all vectors in the set `X` and a given feature vector `y`_j matrixMatrix - compute the kernel function for all vectors in the sets `X` and `Y`. In Intel DAAL, this mode requires equal numbers of observations in both input tables: `n`=`m`.
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

The linear kernel function calculates the results described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.

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.

Examples

C++:

Java*: