.. ****************************************************************************** .. * Copyright 2021 Intel Corporation .. * .. * Licensed under the Apache License, Version 2.0 (the "License"); .. * you may not use this file except in compliance with the License. .. * You may obtain a copy of the License at .. * .. * http://www.apache.org/licenses/LICENSE-2.0 .. * .. * Unless required by applicable law or agreed to in writing, software .. * distributed under the License is distributed on an "AS IS" BASIS, .. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. .. * See the License for the specific language governing permissions and .. * limitations under the License. .. *******************************************************************************/ .. default-domain:: cpp .. _alg_polynomial_kernel: =================================== Polynomial kernel =================================== .. include:: ../../../includes/kernel-functions/polynomial-kernel-introduction.rst ------------------------ Mathematical formulation ------------------------ .. _polynomial_kernel_c_math: Computing --------- Given a set :math:`X` of :math:`n` feature vectors :math:`x_1 = (x_{11}, \ldots, x_{1p}), \ldots, x_n = (x_{n1}, \ldots, x_{np})` of dimension :math:`p` and a set :math:`Y` of :math:`m` feature vectors :math:`y_1 = (y_{11}, \ldots, y_{1p}), \ldots, y_m = (y_{m1}, \ldots, y_{mp})`, the problem is to compute the polynomial kernel function :math:`K(x_i, y_j)` for any pair of input vectors: .. math:: K(x_i, y_j) = (k {x_i}^T y_j + b)^d, where :math:`k\in\mathbb{R},\ b\in\mathbb{R},\ d\in{\{0,\ 1,\ 2,\ ...\}}, \quad 1 \leq i \leq n, \quad 1 \leq j \leq m`. .. _polynomial_kernel_c_math_dense: Computation method: *dense* --------------------------- The method computes the polynomial kernel function :math:`K(X, Y)` for :math:`X` and :math:`Y` matrices. --------------------- Programming Interface --------------------- Refer to :ref:`API Reference: Polynomial kernel `.