Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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. */ package org.apache.lucene.search.similarities; import org.apache.lucene.search.Explanation; /** * Normalization model that assumes a uniform distribution of the term frequency. * <p>While this model is parameterless in the * <a href="http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.742"> * original article</a>, <a href="http://dl.acm.org/citation.cfm?id=1835490"> * information-based models</a> (see {@link IBSimilarity}) introduced a * multiplying factor. * The default value for the {@code c} parameter is {@code 1}.</p> * @lucene.experimental */ public class NormalizationH1 extends Normalization { private final float c; /** * Creates NormalizationH1 with the supplied parameter <code>c</code>. * @param c hyper-parameter that controls the term frequency * normalization with respect to the document length. */ public NormalizationH1(float c) { // unbounded but typical range 0..10 or so if (Float.isFinite(c) == false || c < 0) { throw new IllegalArgumentException("illegal c value: " + c + ", must be a non-negative finite value"); } this.c = c; } /** * Calls {@link #NormalizationH1(float) NormalizationH1(1)} */ public NormalizationH1() { this(1); } @Override public final double tfn(BasicStats stats, double tf, double len) { return tf * c * (stats.getAvgFieldLength() / len); } @Override public Explanation explain(BasicStats stats, double tf, double len) { return Explanation.match((float) tfn(stats, tf, len), getClass().getSimpleName() + ", computed as tf * c * (avgfl / fl) from:", Explanation.match((float) tf, "tf, number of occurrences of term in the document"), Explanation.match(c, "c, hyper-parameter"), Explanation.match((float) stats.getAvgFieldLength(), "avgfl, average length of field across all documents"), Explanation.match((float) len, "fl, field length of the document")); } @Override public String toString() { return "1"; } /** * Returns the <code>c</code> parameter. * @see #NormalizationH1(float) */ public float getC() { return c; } }