| /* |
| * 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.solr.client.solrj.io.eval; |
| |
| import java.io.IOException; |
| import java.util.Locale; |
| |
| import java.util.List; |
| import java.util.ArrayList; |
| |
| import org.apache.commons.math3.ml.clustering.CentroidCluster; |
| import org.apache.solr.client.solrj.io.stream.expr.StreamExpression; |
| import org.apache.solr.client.solrj.io.stream.expr.StreamFactory; |
| |
| public class GetClusterEvaluator extends RecursiveObjectEvaluator implements TwoValueWorker { |
| private static final long serialVersionUID = 1; |
| |
| public GetClusterEvaluator(StreamExpression expression, StreamFactory factory) throws IOException { |
| super(expression, factory); |
| } |
| |
| @Override |
| public Object doWork(Object value1, Object value2) throws IOException { |
| if(!(value1 instanceof KmeansEvaluator.ClusterTuple)){ |
| throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - found type %s for value, expecting a cluster result.",toExpression(constructingFactory), value1.getClass().getSimpleName())); |
| } else { |
| |
| KmeansEvaluator.ClusterTuple clusterTuple = (KmeansEvaluator.ClusterTuple)value1; |
| List<CentroidCluster<KmeansEvaluator.ClusterPoint>> clusters = clusterTuple.getClusters(); |
| |
| Number index = (Number)value2; |
| @SuppressWarnings({"rawtypes"}) |
| CentroidCluster cluster = clusters.get(index.intValue()); |
| @SuppressWarnings({"rawtypes"}) |
| List points = cluster.getPoints(); |
| List<String> rowLabels = new ArrayList<>(); |
| double[][] data = new double[points.size()][]; |
| |
| for(int i=0; i<points.size(); i++) { |
| KmeansEvaluator.ClusterPoint p = (KmeansEvaluator.ClusterPoint)points.get(i); |
| data[i] = p.getPoint(); |
| rowLabels.add(p.getId()); |
| } |
| |
| Matrix matrix = new Matrix(data); |
| matrix.setRowLabels(rowLabels); |
| matrix.setColumnLabels(clusterTuple.getColumnLabels()); |
| return matrix; |
| } |
| } |
| } |