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📄 hyperbolictangentkernel.java

📁 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能
💻 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 com.aliasi.util.AbstractExternalizable;import java.io.IOException;import java.io.ObjectInput;import java.io.ObjectOutput;import java.io.Serializable;/** * A <code>HyperbolicTangentKernel</code> provides a kernel based on * the hyperbolic tangent of a dot product with fixed linear scaling. * Hyperbolic tangent kernels are popular as neural network activation * functions. * * <p>The hyperbolic tangent kernel function of with parameters * <code>k0</code> and <code>k1</code> is defined between two * vectors <code>v1</code> and <code>v2</code> of the same * dimensionality by: * * <blockquote><pre> * kernel(v1,v2) = tanh(k1 * v1 * v2 + k0)</pre></blockquote> * * where <code>v1 * v2</code> is the usual dot product and * the constant <code>k1</code> is simply a scalar multiplier. * * <h3>References</h3> * * <ul> * <li>Wikipedia; <a href="http://en.wikipedia.org/wiki/Sigmoid_function">Sigmoid Function</a></li> * </ul> * * @author  Bob Carpenter * @version 3.1 * @since   LingPipe3.1 */public class HyperbolicTangentKernel    implements KernelFunction, Serializable {    private final double mK0;    private final double mK1;    /**     * Construct a linearly offset hyperbolic tangent kernel     * with the specified slope and intercept parameters.     *     * @param k0 Intercept parameter.     * @param k1 Slope parameter.     * @throws IllegalArgumentException If either of the parameters     * are not finite numbers, or if the k1 parameter is zero.     */    public HyperbolicTangentKernel(double k0, double k1) {        if (Double.isInfinite(k0) || Double.isNaN(k0)) {            String msg = "k0 must be a finite number."                + " Found k0=" + k0;            throw new IllegalArgumentException(msg);        }        if (Double.isInfinite(k1) || Double.isNaN(k1) || k1 == 0.0) {            String msg = "k1 must be a finite, non-zero number."                + " Found k1=" + k1;            throw new IllegalArgumentException(msg);        }        mK0 = k0;        mK1 = k1;    }    /**     * Returns the result of applying the hyperbolic tangent kernel     * function to to the specified vectors.     *     * @param v1 First vector.     * @param v2 Second vector.     * @return Kernel function applied to the two vectors.     * @throws IllegalArgumentException If the vectors are not of the     * same dimensionality.     */    public double proximity(Vector v1, Vector v2) {        return Math.tanh(mK1 * v1.dotProduct(v2) + mK0);    }    /**     * Returns a string-based representation of this kernel     * function, including the offset and slope parameters.     *     * @return A string representing this kernel.     */    public String toString() {        return "HyperbolicTangentKernel("            + mK0 + ", " + mK1 + ")";    }    Object writeReplace() {        return new Externalizer(mK0,mK1);    }    static class Externalizer extends AbstractExternalizable {        final double mK0;        final double mK1;        public Externalizer() {            this(0.0,0.0);        }        public Externalizer(double k0, double k1) {            mK0 = k0;            mK1 = k1;        }        public void writeExternal(ObjectOutput out) throws IOException {            out.writeDouble(mK0);            out.writeDouble(mK1);        }        public Object read(ObjectInput in) throws IOException {            double k0 = in.readDouble();            double k1 = in.readDouble();            return new HyperbolicTangentKernel(k0,k1);        }    }}

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