Context Navigation

ConfigurationBuilder.java @ 140

Last change on this file since 140 was 133, checked in by sherbold, 8 years ago
updated script for benchmark configuration generation
Property svn:mime-type set to `text/plain`
File size: 27.0 KB

Rev	Line
[59]	1	package de.ugoe.cs.crosspare;
	2
	3	import java.io.FileWriter;
	4	import java.io.IOException;
	5	import java.lang.reflect.InvocationTargetException;
	6	import java.security.InvalidParameterException;
	7
	8	public class ConfigurationBuilder {
	9
[133]	10	private static enum Dataset {MDP, JURECZKO, FILTERJURECZKO, AEEEM, RELINK, NETGENE, SELECTEDJURECZKO};
	11
[59]	12	private static final String storageFolder = "config/";
	13
	14	public static void main(String[] args) {
	15	for( Dataset dataset : Dataset.values() ) {
[133]	16	// baselines
	17	writeFile("ALL", dataset);
	18	writeFile("CV", dataset);
	19	writeFile("Random", dataset);
	20	writeFile("Trivial", dataset);
	21	// publications
	22	writeFile("Koshgoftaar08", dataset);
	23	writeFile("Watanabe08", dataset);
	24	writeFile("Turhan09", dataset);
	25	writeFile("Zimmermann09", dataset);
	26	writeFile("CamargoCruz09", dataset);
	27	writeFile("Liu10", dataset);
	28	writeFile("Menzies11", dataset);
	29	writeFile("Ma12", dataset);
	30	writeFile("Peters12", dataset);
	31	writeFile("Uchigaki12", dataset);
	32	writeFile("Canfora13", dataset);
	33	writeFile("Peters13", dataset);
	34	writeFile("Herbold13", dataset);
	35	writeFile("ZHe13", dataset);
	36	writeFile("Nam13", dataset);
	37	writeFile("Panichella14", dataset);
	38	writeFile("Ryu14", dataset);
	39	writeFile("PHe15", dataset);
	40	writeFile("Peters15", dataset);
	41	writeFile("Kawata15", dataset);
	42	writeFile("YZhang15", dataset);
	43	writeFile("Amasaki15", dataset);
	44	writeFile("Ryu15", dataset);
	45	writeFile("Nam15", dataset);
[59]	46	}
	47	}
	48
	49	public static void writeFile(String approach, Dataset dataset) {
	50	FileWriter writer;
	51	try {
	52	writer = new FileWriter(storageFolder + dataset.toString() + "-" + approach + ".xml");
	53	writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
	54	writer.flush();
	55	writer.close();
	56	}
	57	catch (IOException \| IllegalAccessException \| IllegalArgumentException \| InvocationTargetException \| NoSuchMethodException \| SecurityException e) {
	58	e.printStackTrace();
	59	}
	60	}
	61
	62	public static void preamble(StringBuilder configFile) {
	63	configFile.append("<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n");
	64	configFile.append("<config xmlns=\"experimentconfig\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:schemaLocation=\"experimentconfig experimentconfig.xsd\">\n");
	65	}
	66
	67	public static void postamble(StringBuilder configFile) {
[80]	68	configFile.append(" <storage name=\"MySQLResultStorage\" param=\"\" />\n");
[59]	69	configFile.append("</config>");
	70	}
	71
	72	public static void trainers(StringBuilder configFile) {
[133]	73	configFile.append(" <trainer name=\"WekaTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	74	configFile.append(" <trainer name=\"WekaTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	75	configFile.append(" <trainer name=\"WekaTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	76	configFile.append(" <trainer name=\"WekaTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	77	configFile.append(" <trainer name=\"WekaTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	78	configFile.append(" <trainer name=\"WekaTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	79	}
	80
	81	public static void trainersBagging(StringBuilder configFile) {
[133]	82	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	83	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	84	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	85	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	86	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	87	configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	88	}
	89
	90	public static void trainersLocalWhere(StringBuilder configFile) {
[133]	91	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	92	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	93	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	94	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	95	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	96	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
	97	configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"WHICH de.ugoe.cs.cpdp.wekaclassifier.WHICH\" />\n");
[59]	98	}
	99
	100	public static void trainersLASER(StringBuilder configFile) {
[133]	101	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"NB weka.classifiers.bayes.NaiveBayes\" />\n");
	102	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"RF weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
	103	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"DT weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
	104	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LR weka.classifiers.functions.Logistic\" />\n");
	105	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"NET weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
	106	configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"SVM weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
[59]	107	}
	108
	109	public static void dataset(StringBuilder configFile, Dataset dataset) {
	110	switch (dataset)
	111	{
	112	case MDP:
[80]	113	configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"benchmark/data/MDP\" relative=\"false\"/>\n");
[59]	114	break;
	115	case JURECZKO:
[80]	116	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
[59]	117	break;
[133]	118	case FILTERJURECZKO:
	119	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/JURECZKO\" relative=\"false\"/>\n");
	120	configFile.append(" <versionfilter name=\"MinInstanceNumberFilter\" param=\"100\" />\n");
	121	configFile.append(" <versionfilter name=\"UnbalancedFilter\" param=\"0.05\" />\n");
	122	break;
	123	case AEEEM:
	124	configFile.append(" <loader name=\"ARFFFolderLoader\" datalocation=\"benchmark/data/AEEEM\" relative=\"false\"/>\n");
	125	break;
	126	case RELINK:
	127	configFile.append(" <loader name=\"RelinkFolderLoader\" datalocation=\"benchmark/data/RELINK\" relative=\"false\"/>\n");
	128	break;
	129	case NETGENE:
	130	configFile.append(" <loader name=\"NetgeneFolderLoader\" datalocation=\"benchmark/data/NETGENE\" relative=\"false\"/>\n");
	131	break;
	132	case SELECTEDJURECZKO:
	133	configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"benchmark/data/SELECTEDJURECZKO\" relative=\"false\"/>\n");
	134	break;
[59]	135	default:
	136	throw new InvalidParameterException("Unknown data set: " + dataset.toString());
	137	}
[133]	138	configFile.append(" <versionfilter name=\"MinClassNumberFilter\" param=\"5\" />\n");
	139	configFile.append(" <resultspath path=\"benchmark/results-csv\"/>\n");
[59]	140	}
	141
[133]	142	public static String ALL(Dataset dataset) {
[59]	143	StringBuilder configFile = new StringBuilder();
	144	preamble(configFile);
	145	dataset(configFile, dataset);
[133]	146	trainers(configFile);
	147
	148	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	149
	150	postamble(configFile);
	151	return configFile.toString();
	152	}
	153
	154	public static String CV(Dataset dataset) {
	155	StringBuilder configFile = new StringBuilder();
	156	preamble(configFile);
	157	dataset(configFile, dataset);
	158	trainers(configFile);
	159
	160	configFile.append(" <eval name=\"CVWekaEvaluation\" param=\"\" />\n");
	161
	162	postamble(configFile);
	163	return configFile.toString();
	164	}
	165
	166	public static String Random(Dataset dataset) {
	167	StringBuilder configFile = new StringBuilder();
	168	preamble(configFile);
	169	dataset(configFile, dataset);
	170
	171	configFile.append(" <trainer name=\"WekaTraining\" param=\"RANDOM de.ugoe.cs.cpdp.wekaclassifier.RandomClass\" />\n");
	172	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	173	configFile.append(" <repetitions number=\"10\" />\n");
	174
	175	postamble(configFile);
	176	return configFile.toString();
	177	}
	178
	179	public static String Trivial(Dataset dataset) {
	180	StringBuilder configFile = new StringBuilder();
	181	preamble(configFile);
	182	dataset(configFile, dataset);
	183
	184	configFile.append(" <trainer name=\"WekaTraining\" param=\"FIX de.ugoe.cs.cpdp.wekaclassifier.FixClass -C 1\" />\n");
	185	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	186
	187	postamble(configFile);
	188	return configFile.toString();
	189	}
	190
	191	public static String Koshgoftaar08(Dataset dataset) {
	192	StringBuilder configFile = new StringBuilder();
	193	preamble(configFile);
	194	dataset(configFile, dataset);
[59]	195	trainersBagging(configFile);
	196
	197	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	198
	199	postamble(configFile);
	200	return configFile.toString();
	201	}
	202
[133]	203	public static String Watanabe08(Dataset dataset) {
[59]	204	StringBuilder configFile = new StringBuilder();
	205	preamble(configFile);
	206	dataset(configFile, dataset);
	207	trainers(configFile);
	208
	209	configFile.append(" <setwisepreprocessor name=\"AverageStandardization\" param=\"\" />\n");
	210	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	211
	212	postamble(configFile);
	213	return configFile.toString();
	214	}
	215
[133]	216	public static String Turhan09(Dataset dataset) {
[59]	217	StringBuilder configFile = new StringBuilder();
	218	preamble(configFile);
	219	dataset(configFile, dataset);
	220	trainers(configFile);
	221
	222	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	223	configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"10\" />\n");
	224	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	225
	226	postamble(configFile);
	227	return configFile.toString();
	228	}
	229
[133]	230	public static String Zimmermann09(Dataset dataset) {
[59]	231	StringBuilder configFile = new StringBuilder();
	232	preamble(configFile);
	233	dataset(configFile, dataset);
	234	trainers(configFile);
	235
[133]	236	configFile.append(" <setwiseselector name=\"DecisionTreeSelection\" param=\"max median stddev\" />\n");
	237	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	238
	239	postamble(configFile);
	240	return configFile.toString();
	241	}
	242
	243	public static String CamargoCruz09(Dataset dataset) {
	244	StringBuilder configFile = new StringBuilder();
	245	preamble(configFile);
	246	dataset(configFile, dataset);
	247	trainers(configFile);
	248
[59]	249	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	250	configFile.append(" <preprocessor name=\"MedianAsReference\" param=\"10\" />\n");
	251	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	252
	253	postamble(configFile);
	254	return configFile.toString();
	255	}
	256
[133]	257	public static String Liu10(Dataset dataset) {
	258	StringBuilder configFile = new StringBuilder();
	259	preamble(configFile);
	260	dataset(configFile, dataset);
	261
	262	configFile.append(" <setwisetrainer name=\"GPTraining\" param=\"numberRuns:1,errorType2Weight:15\" />");
	263	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	264	configFile.append(" <repetitions number=\"10\" />\n");
	265
	266	postamble(configFile);
	267	return configFile.toString();
	268	}
[59]	269
[133]	270	public static String Menzies11(Dataset dataset) {
[59]	271	StringBuilder configFile = new StringBuilder();
	272	preamble(configFile);
	273	dataset(configFile, dataset);
	274
	275	trainersLocalWhere(configFile);
	276	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	277	configFile.append(" <repetitions number=\"10\" />\n");
[59]	278
	279	postamble(configFile);
	280	return configFile.toString();
	281	}
	282
[133]	283	public static String Ma12(Dataset dataset) {
[59]	284	StringBuilder configFile = new StringBuilder();
	285	preamble(configFile);
	286	dataset(configFile, dataset);
	287	trainers(configFile);
	288
	289	configFile.append(" <preprocessor name=\"DataGravitation\" param=\"\" />\n");
	290	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	291
	292	postamble(configFile);
	293	return configFile.toString();
	294	}
	295
[133]	296	public static String Peters12(Dataset dataset) {
[59]	297	StringBuilder configFile = new StringBuilder();
	298	preamble(configFile);
	299	dataset(configFile, dataset);
	300	trainers(configFile);
	301
	302	configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
	303	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	304	configFile.append(" <repetitions number=\"10\" />\n");
[59]	305
	306	postamble(configFile);
	307	return configFile.toString();
	308	}
	309
[133]	310	public static String Uchigaki12(Dataset dataset) {
[59]	311	StringBuilder configFile = new StringBuilder();
	312	preamble(configFile);
	313	dataset(configFile, dataset);
	314
[80]	315	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
[133]	316	configFile.append(" <trainer name=\"WekaTraining\" param=\"LE de.ugoe.cs.cpdp.wekaclassifier.LogisticEnsemble\" />\n");
[59]	317	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	318
	319	postamble(configFile);
	320	return configFile.toString();
	321	}
	322
[133]	323	public static String Canfora13(Dataset dataset) {
[80]	324	StringBuilder configFile = new StringBuilder();
	325	preamble(configFile);
	326	dataset(configFile, dataset);
	327
	328	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
	329	configFile.append(" <trainer name=\"WekaTraining\" param=\"MODEP de.ugoe.cs.cpdp.wekaclassifier.MODEPClassifier -R 0.7\" />\n");
	330	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	331	configFile.append(" <repetitions number=\"10\" />\n");
[80]	332
	333	postamble(configFile);
	334	return configFile.toString();
	335	}
[59]	336
[133]	337	public static String Peters13(Dataset dataset) {
[59]	338	StringBuilder configFile = new StringBuilder();
	339	preamble(configFile);
	340	dataset(configFile, dataset);
	341	trainers(configFile);
	342
	343	configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
[133]	344	configFile.append(" <pointwiseselector name=\"CLIFF\" param=\"0.40\" />");
[59]	345	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	346	configFile.append(" <repetitions number=\"10\" />\n");
[59]	347
	348	postamble(configFile);
	349	return configFile.toString();
	350	}
	351
[133]	352	public static String Herbold13(Dataset dataset) {
[59]	353	StringBuilder configFile = new StringBuilder();
	354	preamble(configFile);
	355	dataset(configFile, dataset);
	356	trainers(configFile);
	357
[133]	358	int numNeighbors;
	359	switch (dataset)
	360	{
	361	case AEEEM:
	362	numNeighbors = 2;
	363	break;
	364	case MDP:
	365	numNeighbors = 5;
	366	break;
	367	case JURECZKO:
	368	numNeighbors = 30;
	369	break;
	370	case FILTERJURECZKO:
	371	numNeighbors = 20;
	372	break;
	373	case RELINK:
	374	numNeighbors = 1;
	375	break;
	376	case NETGENE:
	377	numNeighbors = 1;
	378	break;
	379	case SELECTEDJURECZKO:
	380	numNeighbors = 4;
	381	break;
	382	default:
	383	numNeighbors = 10;
	384	break;
	385	}
	386
[59]	387	configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
[133]	388	configFile.append(" <setwiseselector name=\"SetWiseKNNSelection\" param=\""+ numNeighbors +"\" />\n");
[59]	389	configFile.append(" <postprocessor name=\"BiasedWeights\" param=\"0.5\" />\n");
	390	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	391
	392	postamble(configFile);
	393	return configFile.toString();
	394	}
	395
[133]	396	public static String ZHe13(Dataset dataset) {
[59]	397	StringBuilder configFile = new StringBuilder();
	398	preamble(configFile);
	399	dataset(configFile, dataset);
	400	trainersBagging(configFile);
	401
[133]	402	int numNeighbors;
	403	switch (dataset)
	404	{
	405	case AEEEM:
	406	numNeighbors = 1;
	407	break;
	408	case MDP:
	409	numNeighbors = 4;
	410	break;
	411	case JURECZKO:
	412	numNeighbors = 16;
	413	break;
	414	case FILTERJURECZKO:
	415	numNeighbors = 13;
	416	break;
	417	case RELINK:
	418	numNeighbors = 1;
	419	break;
	420	case NETGENE:
	421	numNeighbors = 1;
	422	break;
	423	case SELECTEDJURECZKO:
	424	numNeighbors = 4;
	425	break;
	426	default:
	427	numNeighbors = 10;
	428	break;
	429	}
	430
[59]	431	configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
[133]	432	configFile.append(" <setwiseselector name=\"SeparatabilitySelection\" param=\"" + numNeighbors + "\" />\n");
[59]	433	configFile.append(" <setwisepostprocessor name=\"Undersampling\" param=\"\" />\n");
	434	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	435	configFile.append(" <repetitions number=\"10\" />\n");
[59]	436
	437	postamble(configFile);
	438	return configFile.toString();
	439	}
	440
[133]	441	public static String Nam13(Dataset dataset) {
[59]	442	StringBuilder configFile = new StringBuilder();
	443	preamble(configFile);
	444	dataset(configFile, dataset);
	445	trainers(configFile);
	446
	447	configFile.append(" <preprocessor name=\"TCAPlusNormalization\" param=\"\" />\n");
	448	configFile.append(" <postprocessor name=\"TransferComponentAnalysis\" param=\"\" />\n");
	449	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	450
	451	postamble(configFile);
	452	return configFile.toString();
	453	}
	454
[133]	455	public static String Panichella14(Dataset dataset) {
[59]	456	StringBuilder configFile = new StringBuilder();
	457	preamble(configFile);
	458	dataset(configFile, dataset);
	459
[133]	460	configFile.append(" <trainer name=\"WekaTraining\" param=\"CODEP-LR de.ugoe.cs.cpdp.wekaclassifier.LogisticCODEP\" />\n");
	461	configFile.append(" <trainer name=\"WekaTraining\" param=\"CODEP-BN de.ugoe.cs.cpdp.wekaclassifier.BayesNetCODEP\" />\n");
[59]	462	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	463
	464	postamble(configFile);
	465	return configFile.toString();
	466	}
	467
[133]	468	public static String Ryu14(Dataset dataset) {
[80]	469	StringBuilder configFile = new StringBuilder();
	470	preamble(configFile);
	471	dataset(configFile, dataset);
	472
	473	configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />\n");
	474	configFile.append(" <testawaretrainer name=\"WekaTestAwareTraining\" param=\"VCBSVM de.ugoe.cs.cpdp.wekaclassifier.VCBSVM -L 0.1 -B 10\" />\n");
	475	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
[133]	476	configFile.append(" <repetitions number=\"10\" />\n");
[80]	477
	478	postamble(configFile);
	479	return configFile.toString();
	480	}
[59]	481
[133]	482	public static String PHe15(Dataset dataset) {
[59]	483	StringBuilder configFile = new StringBuilder();
	484	preamble(configFile);
	485	dataset(configFile, dataset);
	486	trainers(configFile);
	487
	488	configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	489	configFile.append(" <setwisepreprocessor name=\"TopMetricFilter\" param=\"\" />\n");
	490	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	491
	492	postamble(configFile);
	493	return configFile.toString();
	494	}
	495
[133]	496	public static String Peters15(Dataset dataset) {
	497	StringBuilder configFile = new StringBuilder();
	498	preamble(configFile);
	499	dataset(configFile, dataset);
	500	trainers(configFile);
	501
	502	configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	503	configFile.append(" <setwiseselector name=\"LACE2\" param=\"0.4\" />\n");
	504	configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"1\" />\n");
	505	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	506	configFile.append(" <repetitions number=\"10\" />\n");
	507
	508	postamble(configFile);
	509	return configFile.toString();
	510	}
[59]	511
[133]	512	public static String Kawata15(Dataset dataset) {
[59]	513	StringBuilder configFile = new StringBuilder();
	514	preamble(configFile);
	515	dataset(configFile, dataset);
	516	trainers(configFile);
	517
	518	configFile.append(" <pointwiseselector name=\"DBSCANFilter\" param=\"\" />\n");
	519	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	520
	521	postamble(configFile);
	522	return configFile.toString();
	523	}
	524
[133]	525	public static String YZhang15(Dataset dataset) {
[59]	526	StringBuilder configFile = new StringBuilder();
	527	preamble(configFile);
	528	dataset(configFile, dataset);
	529
[133]	530	configFile.append(" <trainer name=\"WekaTraining\" param=\"AVGVOTE weka.classifiers.meta.Vote -S 1 -B "weka.classifiers.trees.ADTree" -B "de.ugoe.cs.cpdp.wekaclassifier.DecisionTableWrapper" -B "de.ugoe.cs.cpdp.wekaclassifier.BayesNetWrapper" -B "weka.classifiers.functions.MultilayerPerceptron" -B "weka.classifiers.functions.RBFNetwork" -R AVG\" />\n");
	531	configFile.append(" <trainer name=\"WekaTraining\" param=\"MAXVOTE weka.classifiers.meta.Vote -S 1 -B "weka.classifiers.trees.ADTree" -B "de.ugoe.cs.cpdp.wekaclassifier.DecisionTableWrapper" -B "de.ugoe.cs.cpdp.wekaclassifier.BayesNetWrapper" -B "weka.classifiers.functions.MultilayerPerceptron" -B "weka.classifiers.functions.RBFNetwork" -R MAX\" />\n");
	532	configFile.append(" <trainer name=\"WekaTraining\" param=\"BAG-DT weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
	533	configFile.append(" <trainer name=\"WekaTraining\" param=\"BAG-NB weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
	534	configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOST-DT weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
	535	configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOST-NB weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
[59]	536	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	537
	538	postamble(configFile);
	539	return configFile.toString();
	540	}
	541
[133]	542	public static String Amasaki15(Dataset dataset) {
[59]	543	StringBuilder configFile = new StringBuilder();
	544	preamble(configFile);
	545	dataset(configFile, dataset);
	546	trainers(configFile);
	547
	548	configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
	549	configFile.append(" <preprocessor name=\"SynonymAttributePruning\" param=\"\" />\n");
	550	configFile.append(" <pointwiseselector name=\"SynonymOutlierRemoval\" param=\"\" />");
	551	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	552
	553	postamble(configFile);
	554	return configFile.toString();
	555	}
	556
[133]	557	public static String Ryu15(Dataset dataset) {
[59]	558	StringBuilder configFile = new StringBuilder();
	559	preamble(configFile);
	560	dataset(configFile, dataset);
	561	trainersLASER(configFile);
	562
	563	configFile.append(" <pointwiseselector name=\"MahalanobisOutlierRemoval\" param=\"\" />\n");
	564	configFile.append(" <pointwiseselector name=\"NeighborhoodFilter\" param=\"\" />\n");
	565	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	566
	567	postamble(configFile);
	568	return configFile.toString();
	569	}
	570
[133]	571	public static String Nam15(Dataset dataset) {
[59]	572	StringBuilder configFile = new StringBuilder();
	573	preamble(configFile);
	574	dataset(configFile, dataset);
	575	trainers(configFile);
	576
	577	configFile.append(" <preprocessor name=\"CLAMIProcessor\" param=\"\" />\n");
	578	configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
	579
	580	postamble(configFile);
	581	return configFile.toString();
	582	}
	583	}

Note: See TracBrowser for help on using the repository browser.

Download in other formats:

Original Format