DeepExperimentBuilder extends AbstractBuilder { @Override public DeepExperimentBuilder preprocessing(AnalysisEngineDescription preprocessing) { super.preprocessing(preprocessing); return this; } DeepExperimentBuilder(); DeepExperimentBuilder machineLearningBackend(MLBackend... backends); @SuppressWarnings({ "unchecked", "rawtypes" }) ParameterSpace getParameterSpace(); @Override DeepExperimentBuilder dataReaderTrain(CollectionReaderDescription reader); @Override DeepExperimentBuilder dataReaderTest(CollectionReaderDescription reader); @Override DeepExperimentBuilder additionalDimensions(Dimension<?>... dim); @Override @SafeVarargs final DeepExperimentBuilder additionalDimensions(Map<String, Object>... dimensions); @Override DeepExperimentBuilder learningMode(LearningMode learningMode); @Override DeepExperimentBuilder featureMode(FeatureMode featureMode); DeepExperimentBuilder experiment(Experiment_ImplBase experiment); DeepExperimentBuilder experiment(ExperimentType type, String experimentName); @Override DeepExperimentBuilder reports(ReportBase... reports); @Override DeepExperimentBuilder preprocessing(AnalysisEngineDescription preprocessing); @Override DeepExperimentBuilder numFolds(int numFolds); @Override DeepExperimentBuilder name(String experimentName); @Override DeepExperimentBuilder bipartitionThreshold(double threshold); @Override DeepExperimentBuilder learningCurveLimit(int learningCurveLimit); Experiment_ImplBase build(); DeepExperimentBuilder outputFolder(String filePath); DeepExperimentBuilder pythonPath(String path); DeepExperimentBuilder embeddingPath(String path); DeepExperimentBuilder maximumLength(int len); DeepExperimentBuilder vectorizeToInteger(boolean vectorize);  }
@Test public void preprocessing() throws ResourceInitializationException { builder.preprocessing(AnalysisEngineFactory.createEngineDescription(NoOpAnnotator.class)); assertTrue(builder.preprocessing != null); }