Map<String, String> buildReportMap = new HashMap<>(); EventTrainer buildTrainer = TrainerFactory.getEventTrainer(mlParams.getParameters("build"), buildReportMap); MaxentModel buildModel = buildTrainer.train(bes); mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build"); TrainingParameters posTaggerParams = mlParams.getParameters("tagger"); mlParams.getParameters("tagger"), new POSTaggerFactory()); new ChunkSampleStream(parseSamples), mlParams.getParameters("chunker"), new ParserChunkerFactory()); Map<String, String> checkReportMap = new HashMap<>(); EventTrainer checkTrainer = TrainerFactory.getEventTrainer(mlParams.getParameters("check"), checkReportMap); MaxentModel checkModel = checkTrainer.train(kes); mergeReportIntoManifest(manifestInfoEntries, checkReportMap, "check");
@Test public void testGetParameters() { TrainingParameters tp = build("k1=v1,n1.k2=v2,n2.k3=v3,n1.k4=v4"); assertEquals(build("k1=v1"), tp.getParameters(null)); assertEquals(build("k2=v2,k4=v4"), tp.getParameters("n1")); assertEquals(build("k3=v3"), tp.getParameters("n2")); Assert.assertTrue(tp.getParameters("n3").getSettings().isEmpty()); }
parseSamples), mlParams.getParameters("tagger"), new POSTaggerFactory()); parseSamples), mlParams.getParameters("chunker"), new ParserChunkerFactory()); mlParams.getParameters("build"), buildReportMap); MaxentModel buildModel = buildTrainer.train(bes); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest( mlParams.getParameters("check"), checkReportMap); MaxentModel checkModel = checkTrainer.train(kes); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest( Map<String, String> attachReportMap = new HashMap<>(); EventTrainer attachTrainer = TrainerFactory.getEventTrainer( mlParams.getParameters("attach"), attachReportMap); MaxentModel attachModel = attachTrainer.train(attachEvents); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest(
if (!TrainerFactory.isValid(mlParams.getParameters("build"))) { throw new TerminateToolException(1, "Build training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("check"))) { throw new TerminateToolException(1, "Check training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("attach"))) { throw new TerminateToolException(1, "Attach training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("tagger"))) { throw new TerminateToolException(1, "Tagger training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("chunker"))) { throw new TerminateToolException(1, "Chunker training parameters are invalid!");
Map<String, String> buildReportMap = new HashMap<>(); EventTrainer buildTrainer = TrainerFactory.getEventTrainer(mlParams.getParameters("build"), buildReportMap); MaxentModel buildModel = buildTrainer.train(bes); mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build"); TrainingParameters posTaggerParams = mlParams.getParameters("tagger"); mlParams.getParameters("tagger"), new POSTaggerFactory()); new ChunkSampleStream(parseSamples), mlParams.getParameters("chunker"), new ParserChunkerFactory()); Map<String, String> checkReportMap = new HashMap<>(); EventTrainer checkTrainer = TrainerFactory.getEventTrainer(mlParams.getParameters("check"), checkReportMap); MaxentModel checkModel = checkTrainer.train(kes); mergeReportIntoManifest(manifestInfoEntries, checkReportMap, "check");
Map<String, String> buildReportMap = new HashMap<>(); EventTrainer buildTrainer = TrainerFactory.getEventTrainer(mlParams.getParameters("build"), buildReportMap); MaxentModel buildModel = buildTrainer.train(bes); mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build"); TrainingParameters posTaggerParams = mlParams.getParameters("tagger"); mlParams.getParameters("tagger"), new POSTaggerFactory()); new ChunkSampleStream(parseSamples), mlParams.getParameters("chunker"), new ParserChunkerFactory()); Map<String, String> checkReportMap = new HashMap<>(); EventTrainer checkTrainer = TrainerFactory.getEventTrainer(mlParams.getParameters("check"), checkReportMap); MaxentModel checkModel = checkTrainer.train(kes); mergeReportIntoManifest(manifestInfoEntries, checkReportMap, "check");
parseSamples), mlParams.getParameters("tagger"), new POSTaggerFactory()); parseSamples), mlParams.getParameters("chunker"), new ParserChunkerFactory()); mlParams.getParameters("build"), buildReportMap); MaxentModel buildModel = buildTrainer.train(bes); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest( mlParams.getParameters("check"), checkReportMap); MaxentModel checkModel = checkTrainer.train(kes); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest( Map<String, String> attachReportMap = new HashMap<>(); EventTrainer attachTrainer = TrainerFactory.getEventTrainer( mlParams.getParameters("attach"), attachReportMap); MaxentModel attachModel = attachTrainer.train(attachEvents); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest(
parseSamples), mlParams.getParameters("tagger"), new POSTaggerFactory()); parseSamples), mlParams.getParameters("chunker"), new ParserChunkerFactory()); mlParams.getParameters("build"), buildReportMap); MaxentModel buildModel = buildTrainer.train(bes); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest( mlParams.getParameters("check"), checkReportMap); MaxentModel checkModel = checkTrainer.train(kes); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest( Map<String, String> attachReportMap = new HashMap<>(); EventTrainer attachTrainer = TrainerFactory.getEventTrainer( mlParams.getParameters("attach"), attachReportMap); MaxentModel attachModel = attachTrainer.train(attachEvents); opennlp.tools.parser.chunking.Parser.mergeReportIntoManifest(
if (!TrainerFactory.isValid(mlParams.getParameters("build"))) { throw new TerminateToolException(1, "Build training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("check"))) { throw new TerminateToolException(1, "Check training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("attach"))) { throw new TerminateToolException(1, "Attach training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("tagger"))) { throw new TerminateToolException(1, "Tagger training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("chunker"))) { throw new TerminateToolException(1, "Chunker training parameters are invalid!");
if (!TrainerFactory.isValid(mlParams.getParameters("build"))) { throw new TerminateToolException(1, "Build training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("check"))) { throw new TerminateToolException(1, "Check training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("attach"))) { throw new TerminateToolException(1, "Attach training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("tagger"))) { throw new TerminateToolException(1, "Tagger training parameters are invalid!"); if (!TrainerFactory.isValid(mlParams.getParameters("chunker"))) { throw new TerminateToolException(1, "Chunker training parameters are invalid!");