| /* |
| * 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.stream.eval; |
| |
| import java.io.IOException; |
| import java.util.HashMap; |
| import java.util.Map; |
| |
| import org.apache.commons.math3.stat.regression.SimpleRegression; |
| import org.apache.solr.SolrTestCase; |
| import org.apache.solr.client.solrj.io.Tuple; |
| import org.apache.solr.client.solrj.io.eval.RegressionEvaluator; |
| import org.apache.solr.client.solrj.io.stream.expr.StreamFactory; |
| import org.junit.Test; |
| |
| import junit.framework.Assert; |
| |
| public class RegressionEvaluatorTest extends SolrTestCase { |
| |
| StreamFactory factory; |
| Map<String,Object> values; |
| |
| public RegressionEvaluatorTest() { |
| super(); |
| factory = new StreamFactory().withFunctionName("regress", RegressionEvaluator.class); |
| values = new HashMap<String,Object>(); |
| } |
| |
| @Test |
| public void test() throws IOException { |
| double[] l1 = new double[] {3.4, 4.5, 6.7}; |
| double[] l2 = new double[] {1.2, 3.2, 3}; |
| |
| values.clear(); |
| values.put("l1", l1); |
| values.put("l2", l2); |
| |
| Tuple result = (Tuple)factory.constructEvaluator("regress(l1,l2)").evaluate(new Tuple(values)); |
| |
| SimpleRegression regression = new SimpleRegression(); |
| regression.addData(l1[0],l2[0]); |
| regression.addData(l1[1],l2[1]); |
| regression.addData(l1[2],l2[2]); |
| |
| Assert.assertEquals(result.getDouble("slope"), regression.getSlope()); |
| |
| } |
| |
| } |