@Test public void learningMode() { builder.learningMode(LearningMode.REGRESSION); assertEquals(builder.learningMode.toString(), LearningMode.REGRESSION.toString()); }
@Override public ExperimentBuilder learningMode(LearningMode learningMode) { super.learningMode(learningMode); return this; }
ExperimentBuilder extends AbstractBuilder { @Override public ExperimentBuilder learningMode(LearningMode learningMode) { super.learningMode(learningMode); return this; } }
ExperimentBuilder extends AbstractBuilder { @Override public ExperimentBuilder learningMode(LearningMode learningMode) { super.learningMode(learningMode); return this; } ExperimentBuilder(); }
ExperimentBuilder extends AbstractBuilder { @Override public ExperimentBuilder learningMode(LearningMode learningMode) { super.learningMode(learningMode); return this; } ExperimentBuilder(); ExperimentBuilder machineLearningBackend(MLBackend... backends); @SuppressWarnings({ "unchecked", "rawtypes" }) @Override ParameterSpace getParameterSpace(); ExperimentBuilder featureSets(TcFeatureSet... featureSet); ExperimentBuilder featureFilter(String... filter); ExperimentBuilder features(TcFeature... features); @Override ExperimentBuilder dataReaderTrain(CollectionReaderDescription reader); @Override ExperimentBuilder dataReaderTest(CollectionReaderDescription reader); @Override ExperimentBuilder learningMode(LearningMode learningMode); @Override ExperimentBuilder featureMode(FeatureMode featureMode); @Override ExperimentBuilder learningCurveLimit(int learningCurveLimit); @Override ExperimentBuilder experiment(ExperimentType type, String experimentName); @Override ExperimentBuilder reports(ReportBase... reports); @Override ExperimentBuilder preprocessing(AnalysisEngineDescription preprocessing); @Override ExperimentBuilder numFolds(int numFolds); @Override ExperimentBuilder name(String experimentName); ExperimentBuilder bipartitionThreshold(double threshold); Experiment_ImplBase build(); @Override ExperimentBuilder outputFolder(String filePath); @Override ExperimentBuilder outputFolder(File file); }
ExperimentBuilder extends AbstractBuilder { @Override public ExperimentBuilder learningMode(LearningMode learningMode) { super.learningMode(learningMode); return this; } ExperimentBuilder(); ExperimentBuilder machineLearningBackend(MLBackend... backends); @SuppressWarnings({ "unchecked", "rawtypes" }) @Override ParameterSpace getParameterSpace(); ExperimentBuilder featureSets(TcFeatureSet... featureSet); ExperimentBuilder featureFilter(String... filter); ExperimentBuilder features(TcFeature... features); @Override ExperimentBuilder dataReaderTrain(CollectionReaderDescription reader); @Override ExperimentBuilder dataReaderTest(CollectionReaderDescription reader); @Override ExperimentBuilder learningMode(LearningMode learningMode); @Override ExperimentBuilder featureMode(FeatureMode featureMode); @Override ExperimentBuilder learningCurveLimit(int learningCurveLimit); @Override ExperimentBuilder experiment(ExperimentType type, String experimentName); @Override ExperimentBuilder reports(ReportBase... reports); @Override ExperimentBuilder preprocessing(AnalysisEngineDescription preprocessing); @Override ExperimentBuilder numFolds(int numFolds); @Override ExperimentBuilder name(String experimentName); ExperimentBuilder bipartitionThreshold(double threshold); Experiment_ImplBase build(); @Override ExperimentBuilder outputFolder(String filePath); @Override ExperimentBuilder outputFolder(File file);  }