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 datafu.pig.hash.lsh; import java.util.List; import org.apache.commons.math.linear.RealVector; import com.google.common.base.Function; import com.google.common.collect.Iterables; import datafu.pig.hash.lsh.interfaces.LSH; /** * A family of k locality sensitive hashes. For a given point, k hashes will be computed. * @author cstella * */ public class LSHFamily { private List<LSH> hashes; /** * Construct a family of hashes * @param hashes Hashes which will be applied in turn to a given point */ public LSHFamily(List<LSH> hashes) { this.hashes = hashes; } /** * Compute the family of k-hashes for a vector. * * @param vector * @return An iterable of hashes */ public Iterable<Long> apply(final RealVector vector) { return Iterables.transform(hashes, new Function<LSH, Long>() { @Override public Long apply(LSH lsh) { return lsh.apply(vector); } }); } }