/* * Copyright (c) 2015 Villu Ruusmann * * This file is part of JPMML-SkLearn * * JPMML-SkLearn is free software: you can redistribute it and/or modify * it under the terms of the GNU Affero General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * JPMML-SkLearn is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Affero General Public License for more details. * * You should have received a copy of the GNU Affero General Public License * along with JPMML-SkLearn. If not, see <http://www.gnu.org/licenses/>. */ package org.jpmml.sklearn; import java.io.IOException; import java.io.InputStream; import java.lang.reflect.Method; import java.util.List; import java.util.Map; import org.dmg.pmml.FieldName; import org.dmg.pmml.PMML; import org.jpmml.evaluator.ArchiveBatch; import org.jpmml.evaluator.Batch; import org.jpmml.evaluator.IntegrationTest; import org.jpmml.evaluator.IntegrationTestBatch; import sklearn2pmml.PMMLPipeline; abstract public class EstimatorTest extends IntegrationTest { @Override protected Batch createBatch(String name, String dataset){ Batch result = new IntegrationTestBatch(name, dataset){ @Override public IntegrationTest getIntegrationTest(){ return EstimatorTest.this; } private Storage openStorage(String path) throws IOException { InputStream is = open(path); try { return new CompressedInputStreamStorage(is); } catch(IOException ioe){ is.close(); throw ioe; } } @Override public PMML getPMML() throws IOException { PMMLPipeline pipeline; try(Storage storage = openStorage("/pkl/" + getName() + getDataset() + ".pkl")){ pipeline = (PMMLPipeline)PickleUtil.unpickle(storage); } PMML pmml = pipeline.encodePMML(); ensureValidity(pmml); return pmml; } @Override public List<Map<FieldName, String>> getInput(){ String dataset = super.getDataset(); if(dataset.endsWith("Dict")){ dataset = dataset.substring(0, dataset.length() - "Dict".length()); } return loadRecords("/csv/" + dataset + ".csv"); } private List<Map<FieldName, String>> loadRecords(String path){ try { Method method = ArchiveBatch.class.getDeclaredMethod("loadRecords", String.class); if(!method.isAccessible()){ method.setAccessible(true); } return (List)method.invoke(this, path); } catch(ReflectiveOperationException roe){ throw new RuntimeException(roe); } } }; return result; } }