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[jvm-packages] automatically set the max/min direction for best score (…
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121
jvm-packages/xgboost4j/src/test/java/ml/dmlc/xgboost4j/java/XGBoostTest.java
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| /* | ||
| Copyright (c) 2023 by Contributors | ||
| Licensed 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. | ||
| */ | ||
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| package ml.dmlc.xgboost4j.java; | ||
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| import junit.framework.TestCase; | ||
| import ml.dmlc.xgboost4j.LabeledPoint; | ||
| import org.junit.Test; | ||
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| import java.util.HashMap; | ||
| import java.util.Map; | ||
| import java.util.Random; | ||
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| public class XGBoostTest { | ||
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| private String composeEvalInfo(String metric, String evalName) { | ||
| return "[0]\t" + evalName + "-" + metric + ":" + "\ttest"; | ||
| } | ||
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| @Test | ||
| public void testIsMaximizeEvaluation() { | ||
| String[] minimum_metrics = {"mape", "logloss", "error", "others"}; | ||
| String[] evalNames = {"set-abc"}; | ||
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| HashMap<String, Object> params = new HashMap<>(); | ||
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| // test1, infer the metric from faked log | ||
| for (String x : XGBoost.MAXIMIZ_METRICES) { | ||
| String evalInfo = composeEvalInfo(x, evalNames[0]); | ||
| TestCase.assertTrue(XGBoost.isMaximizeEvaluation(evalInfo, evalNames, params)); | ||
| } | ||
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| // test2, the direction for mape should be minimum | ||
| String evalInfo = composeEvalInfo("mape", evalNames[0]); | ||
| TestCase.assertFalse(XGBoost.isMaximizeEvaluation(evalInfo, evalNames, params)); | ||
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| // test3, force maximize_evaluation_metrics | ||
| params.clear(); | ||
| params.put("maximize_evaluation_metrics", true); | ||
| // auc should be max, | ||
| evalInfo = composeEvalInfo("auc", evalNames[0]); | ||
| TestCase.assertTrue(XGBoost.isMaximizeEvaluation(evalInfo, evalNames, params)); | ||
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| params.clear(); | ||
| params.put("maximize_evaluation_metrics", false); | ||
| // auc should be min, | ||
| evalInfo = composeEvalInfo("auc", evalNames[0]); | ||
| TestCase.assertFalse(XGBoost.isMaximizeEvaluation(evalInfo, evalNames, params)); | ||
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| // test4, set the metric manually | ||
| for (String x : XGBoost.MAXIMIZ_METRICES) { | ||
| params.clear(); | ||
| params.put("eval_metric", x); | ||
| evalInfo = composeEvalInfo(x, evalNames[0]); | ||
| TestCase.assertTrue(XGBoost.isMaximizeEvaluation(evalInfo, evalNames, params)); | ||
| } | ||
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| // test5, set the metric manually | ||
| for (String x : minimum_metrics) { | ||
| params.clear(); | ||
| params.put("eval_metric", x); | ||
| evalInfo = composeEvalInfo(x, evalNames[0]); | ||
| TestCase.assertFalse(XGBoost.isMaximizeEvaluation(evalInfo, evalNames, params)); | ||
| } | ||
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| } | ||
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| @Test | ||
| public void testEarlyStop() throws XGBoostError { | ||
| Random random = new Random(1); | ||
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| java.util.ArrayList<Float> labelall = new java.util.ArrayList<Float>(); | ||
| int nrep = 3000; | ||
| java.util.List<LabeledPoint> blist = new java.util.LinkedList<LabeledPoint>(); | ||
| for (int i = 0; i < nrep; ++i) { | ||
| LabeledPoint p = new LabeledPoint( | ||
| i % 2, 4, | ||
| new int[]{0, 1, 2, 3}, | ||
| new float[]{random.nextFloat(), random.nextFloat(), random.nextFloat(), random.nextFloat()}); | ||
| blist.add(p); | ||
| labelall.add(p.label()); | ||
| } | ||
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| DMatrix dmat = new DMatrix(blist.iterator(), null); | ||
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| int round = 50; | ||
| int earlyStop = 2; | ||
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| HashMap<String, Object> mapParams = new HashMap<>(); | ||
| mapParams.put("eta", 0.1); | ||
| mapParams.put("objective", "binary:logistic"); | ||
| mapParams.put("max_depth", 3); | ||
| mapParams.put("eval_metric", "auc"); | ||
| mapParams.put("silent", 0); | ||
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| HashMap<String, DMatrix> mapWatches = new HashMap<>(); | ||
| mapWatches.put("selTrain-*", dmat); | ||
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| try { | ||
| Booster booster = XGBoost.train(dmat, mapParams, round, mapWatches, null, null, null, earlyStop); | ||
| Map<String, String> attrs = booster.getAttrs(); | ||
| TestCase.assertTrue(Integer.valueOf(attrs.get("best_iteration")) < round - 1); | ||
| } catch (Exception e) { | ||
| TestCase.assertFalse(false); | ||
| } | ||
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| } | ||
| } |