📄 dotproductkernel.java
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/* * LingPipe v. 3.5 * Copyright (C) 2003-2008 Alias-i * * This program is licensed under the Alias-i Royalty Free License * Version 1 WITHOUT ANY WARRANTY, without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Alias-i * Royalty Free License Version 1 for more details. * * You should have received a copy of the Alias-i Royalty Free License * Version 1 along with this program; if not, visit * http://alias-i.com/lingpipe/licenses/lingpipe-license-1.txt or contact * Alias-i, Inc. at 181 North 11th Street, Suite 401, Brooklyn, NY 11211, * +1 (718) 290-9170. */package com.aliasi.matrix;import java.io.Serializable;/** * The <code>DotProductKernel</code> is the trivial kernel function * computed by taking the dot product of the input vectors. The * dot-product kernel is, for instance, the kernel to use for the * ordinary (non-kernel) perceptron. Typically, this kernel is used * as a baseline, as polynomial and radial basis kernels tend to * perform better in practice for classification and clustering * problems. * * @author Bob Carpenter * @version 3.1 * @since LingPipe3.1 */public class DotProductKernel implements KernelFunction, Serializable { static final long serialVersionUID = -3943009270761485840L; /** * Construct a dot-product kernel. */ public DotProductKernel() { } /** * Returns a string-based representation of this kernel. * * @return A string representing this kernel. */ public String toString() { return "DotProductKernel()"; } /** * Returns the dot product of the input vectors. * * @param v1 First vector. * @param v2 Second vector. * @return The dot product of the two vectors. * @throws IllegalArgumentException If the vectors are not of the * same dimensionality. */ public double proximity(Vector v1, Vector v2) { return v1.dotProduct(v2); }}
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