TreeModelPmmlTest.java

/*
 * Copyright [2013-2016] PayPal Software Foundation
 *
 * 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.
 */
package ml.shifu.shifu.core.pmml;

import java.io.FileInputStream;
import java.io.InputStream;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;

import ml.shifu.shifu.core.dtrain.dt.IndependentTreeModel;

import org.apache.commons.io.IOUtils;
import org.dmg.pmml.FieldName;
import org.dmg.pmml.PMML;
import org.jpmml.evaluator.FieldValue;
import org.jpmml.evaluator.MiningModelEvaluator;
import org.testng.annotations.Test;

public class TreeModelPmmlTest {

    @SuppressWarnings("unchecked")
    @Test
    public void testTreeModel() throws Exception {
        InputStream is = null;
        try {
            is = new FileInputStream("src/test/resources/dttest/model/model-5.gbt");
            IndependentTreeModel model = IndependentTreeModel.loadFromStream(is);
            PMML pmml = PMMLUtils.loadPMML("src/test/resources/dttest/model/model-5.pmml");
            MiningModelEvaluator evaluator = new MiningModelEvaluator(pmml);
            List<Map<FieldName, FieldValue>> input = CsvUtil.load(evaluator,
                    "src/test/resources/dttest/data/tmdata.csv", "\\|");

            for(Map<FieldName, FieldValue> map: input) {
                Map<String, Object> newMap = new HashMap<String, Object>();
                Map<FieldName, Double> regressionTerm = (Map<FieldName, Double>) evaluator.evaluate(map);
                double pmmlScore = 0d;
                for(Map.Entry<FieldName, Double> entry: regressionTerm.entrySet()) {
                    pmmlScore = entry.getValue() * 1000;
                }
                for(Entry<FieldName, FieldValue> entry: map.entrySet()) {
                    FieldName key = entry.getKey();
                    FieldValue value = entry.getValue();

                    switch(value.getOpType()) {
                        case CONTINUOUS:
                            newMap.put(key.getValue(), Double.parseDouble(value.getValue().toString()));
                            break;
                        case CATEGORICAL:
                            newMap.put(key.getValue(), value.getValue().toString());
                            break;
                    }
                }
                double[] results = model.compute(newMap);
                double ownScore = results[0] * 1000;
                org.testng.Assert.assertTrue(Math.abs(pmmlScore - ownScore) <= 1);
            }
        } finally {
            IOUtils.closeQuietly(is);
        }
    }

}