Class Hierarchy
- java.lang.Object
- org.tribuo.regression.sgd.objectives.AbsoluteLoss (implements org.tribuo.regression.sgd.RegressionObjective)
- org.tribuo.common.tree.AbstractCARTTrainer<T> (implements org.tribuo.common.tree.DecisionTreeTrainer<T>)
- org.tribuo.evaluation.AbstractEvaluator<T,C,E,M> (implements org.tribuo.evaluation.Evaluator<T,E>)
- org.tribuo.sequence.AbstractSequenceEvaluator<T,C,E,M> (implements org.tribuo.sequence.SequenceEvaluator<T,E>)
- org.tribuo.common.sgd.AbstractSGDModel.PredAndActive
- org.tribuo.common.sgd.AbstractSGDTrainer<T,U,V,X> (implements org.tribuo.Trainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.common.tree.AbstractTrainingNode<T> (implements org.tribuo.common.tree.Node<T>)
- org.tribuo.common.tree.AbstractTrainingNode.LeafDeterminer
- org.tribuo.classification.ensemble.AdaBoostTrainer (implements org.tribuo.Trainer<T>)
- org.tribuo.math.optimisers.AdaDelta (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.math.optimisers.AdaGrad (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.math.optimisers.AdaGradRDA (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.math.optimisers.Adam (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.datasource.AggregateConfigurableDataSource<T> (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.datasource.AggregateDataSource<T> (implements org.tribuo.DataSource<T>)
- org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance (implements org.tribuo.provenance.DataSourceProvenance)
- org.tribuo.classification.experiments.AllTrainerOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.anomaly.example.AnomalyDataGenerator
- org.tribuo.anomaly.AnomalyFactory (implements org.tribuo.OutputFactory<T>)
- org.tribuo.anomaly.AnomalyFactory.AnomalyFactoryProvenance (implements org.tribuo.provenance.OutputFactoryProvenance)
- org.tribuo.anomaly.AnomalyInfo (implements org.tribuo.OutputInfo<T>)
- org.tribuo.anomaly.evaluation.AnomalyMetric (implements org.tribuo.evaluation.metrics.EvaluationMetric<T,C>)
- org.tribuo.data.text.impl.AverageAggregator (implements org.tribuo.data.text.FeatureAggregator)
- org.tribuo.regression.ensemble.AveragingCombiner (implements org.tribuo.ensemble.EnsembleCombiner<T>)
- org.tribuo.ensemble.BaggingTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.data.text.impl.BasicPipeline (implements org.tribuo.data.text.TextPipeline)
- org.tribuo.interop.onnx.extractors.BERTFeatureExtractor<T> (implements java.lang.AutoCloseable, org.tribuo.data.text.TextFeatureExtractor<T>, org.tribuo.data.text.TextPipeline)
- org.tribuo.interop.onnx.extractors.BERTFeatureExtractor.BERTFeatureExtractorOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.multilabel.sgd.objectives.BinaryCrossEntropy (implements org.tribuo.multilabel.sgd.MultiLabelObjective)
- org.tribuo.data.columnar.processors.response.BinaryResponseProcessor<T> (implements org.tribuo.data.columnar.ResponseProcessor<T>)
- org.tribuo.transform.transformations.BinningTransformation (implements org.tribuo.transform.Transformation)
- org.tribuo.transform.transformations.BinningTransformation.BinningTransformationProvenance (implements org.tribuo.transform.TransformationProvenance)
- org.tribuo.util.tokens.impl.BreakIteratorTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.util.tokens.options.BreakIteratorTokenizerOptions (implements org.tribuo.util.tokens.options.TokenizerOptions)
- org.tribuo.util.infotheory.impl.CachedTriple<T1,T2,T3> (implements java.io.Serializable)
- org.tribuo.classification.dtree.CARTClassificationOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.data.text.impl.CasingPreprocessor (implements org.tribuo.data.text.DocumentPreprocessor)
- org.tribuo.classification.sgd.crf.ChainHelper
- org.tribuo.classification.sgd.crf.ChainHelper.ChainBPResults
- org.tribuo.classification.sgd.crf.ChainHelper.ChainCliqueValues
- org.tribuo.classification.sgd.crf.ChainHelper.ChainViterbiResults
- org.tribuo.classification.sgd.crf.Chunk
- org.tribuo.classification.ensemble.ClassificationEnsembleOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.clustering.ClusterID (implements org.tribuo.Output<T>)
- org.tribuo.clustering.example.ClusteringDataGenerator
- org.tribuo.clustering.ClusteringFactory (implements org.tribuo.OutputFactory<T>)
- org.tribuo.clustering.ClusteringFactory.ClusteringFactoryProvenance (implements org.tribuo.provenance.OutputFactoryProvenance)
- org.tribuo.clustering.ClusteringInfo (implements org.tribuo.OutputInfo<T>)
- org.tribuo.clustering.evaluation.ClusteringMetric (implements org.tribuo.evaluation.metrics.EvaluationMetric<T,C>)
- org.tribuo.interop.tensorflow.example.CNNExamples
- org.tribuo.data.columnar.ColumnarDataSource<T> (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.data.columnar.ColumnarIterator.Row
- org.tribuo.data.CompletelyConfigurableTrainTest
- org.tribuo.data.CompletelyConfigurableTrainTest.ConfigurableTrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sequence.ConfidencePredictingSequenceModel.Subsequence (implements java.io.Serializable)
- org.tribuo.data.ConfigurableTrainTest
- org.tribuo.classification.experiments.ConfigurableTrainTest
- org.tribuo.data.ConfigurableTrainTest.ConfigurableTrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.experiments.ConfigurableTrainTest.ConfigurableTrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.evaluation.ConfusionMetrics
- org.tribuo.util.tokens.options.CoreTokenizerOptions (implements org.tribuo.util.tokens.options.TokenizerOptions)
- org.tribuo.classification.sgd.crf.CRFOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sgd.crf.CRFParameters (implements org.tribuo.math.Parameters, java.io.Serializable)
- org.tribuo.classification.sgd.crf.CRFTrainer (implements org.tribuo.sequence.SequenceTrainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.evaluation.CrossValidation<T,E>
- org.tribuo.data.csv.CSVLoader<T>
- org.tribuo.data.csv.CSVLoader.CSVLoaderProvenance (implements org.tribuo.provenance.DataSourceProvenance)
- org.tribuo.data.csv.CSVSaver (implements com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.DataOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.Dataset<T> (implements java.lang.Iterable<T>, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.data.DatasetExplorer (implements com.oracle.labs.mlrg.olcut.command.CommandGroup)
- org.tribuo.data.DatasetExplorer.DatasetExplorerOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.provenance.DatasetProvenance (implements org.tribuo.provenance.DataProvenance, com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance)
- org.tribuo.classification.sequence.viterbi.DefaultFeatureExtractor (implements org.tribuo.classification.sequence.viterbi.LabelFeatureExtractor)
- org.tribuo.interop.tensorflow.DenseFeatureConverter (implements org.tribuo.interop.tensorflow.FeatureConverter)
- org.tribuo.math.la.DenseMatrix (implements org.tribuo.math.la.Matrix)
- org.tribuo.math.la.DenseSparseMatrix (implements org.tribuo.math.la.Matrix)
- org.tribuo.interop.onnx.DenseTransformer (implements org.tribuo.interop.onnx.ExampleTransformer)
- org.tribuo.math.la.DenseVector (implements org.tribuo.math.la.SGDVector)
- org.tribuo.evaluation.DescriptiveStats
- org.tribuo.data.text.DirectoryFileSource<T> (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.data.columnar.processors.field.DoubleFieldProcessor (implements org.tribuo.data.columnar.FieldProcessor)
- org.tribuo.classification.baseline.DummyClassifierTrainer (implements org.tribuo.Trainer<T>)
- org.tribuo.regression.baseline.DummyRegressionTrainer (implements org.tribuo.Trainer<T>)
- org.tribuo.regression.baseline.DummyRegressionTrainer.DummyRegressionTrainerProvenance (implements org.tribuo.provenance.TrainerProvenance)
- org.tribuo.regression.slm.ElasticNetCDTrainer (implements org.tribuo.SparseTrainer<T>)
- org.tribuo.provenance.impl.EmptyDataSourceProvenance (implements org.tribuo.provenance.DataSourceProvenance)
- org.tribuo.data.columnar.processors.response.EmptyResponseProcessor<T> (implements org.tribuo.data.columnar.ResponseProcessor<T>)
- org.tribuo.provenance.impl.EmptyTrainerProvenance (implements org.tribuo.provenance.TrainerProvenance)
- org.tribuo.classification.dtree.impurity.Entropy (implements org.tribuo.classification.dtree.impurity.LabelImpurity)
- org.tribuo.evaluation.EvaluationAggregator
- org.tribuo.provenance.EvaluationProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance)
- org.tribuo.anomaly.Event (implements org.tribuo.Output<T>)
- org.tribuo.Example<T> (implements java.lang.Iterable<T>, java.io.Serializable)
- org.tribuo.Excuse<T>
- org.tribuo.math.util.ExpNormalizer (implements java.io.Serializable, org.tribuo.math.util.VectorNormalizer)
- org.tribuo.interop.ExternalTrainerProvenance (implements org.tribuo.provenance.TrainerProvenance)
- org.tribuo.Feature (implements java.lang.Cloneable, java.lang.Comparable<T>, java.io.Serializable)
- org.tribuo.data.text.impl.FeatureHasher (implements org.tribuo.data.text.FeatureTransformer)
- org.tribuo.FeatureMap (implements java.lang.Iterable<T>, java.io.Serializable)
- org.tribuo.data.columnar.processors.response.FieldResponseProcessor<T> (implements org.tribuo.data.columnar.ResponseProcessor<T>)
- org.tribuo.classification.ensemble.FullyWeightedVotingCombiner (implements org.tribuo.ensemble.EnsembleCombiner<T>)
- org.tribuo.regression.example.GaussianDataSource (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.classification.dtree.impurity.GiniIndex (implements org.tribuo.classification.dtree.impurity.LabelImpurity)
- org.tribuo.math.optimisers.GradientOptimiserOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.interop.tensorflow.example.GraphDefTuple
- org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance)
- org.tribuo.hash.Hasher (implements com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.hash.HashingOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.sequence.HashingSequenceTrainer<T> (implements org.tribuo.sequence.SequenceTrainer<T>)
- org.tribuo.hash.HashingTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.math.util.HeapMerger (implements org.tribuo.math.util.Merger)
- org.tribuo.classification.sgd.objectives.Hinge (implements org.tribuo.classification.sgd.LabelObjective)
- org.tribuo.multilabel.sgd.objectives.Hinge (implements org.tribuo.multilabel.sgd.MultiLabelObjective)
- org.tribuo.util.HTMLOutput
- org.tribuo.regression.sgd.objectives.Huber (implements org.tribuo.regression.sgd.RegressionObjective)
- org.tribuo.data.columnar.processors.field.IdentityProcessor (implements org.tribuo.data.columnar.FieldProcessor)
- org.tribuo.transform.transformations.IDFTransformation (implements org.tribuo.transform.Transformation)
- org.tribuo.transform.transformations.IDFTransformation.IDFTransformationProvenance (implements org.tribuo.transform.TransformationProvenance)
- org.tribuo.datasource.IDXDataSource<T> (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.datasource.IDXDataSource.IDXData
- org.tribuo.interop.tensorflow.ImageConverter (implements org.tribuo.interop.tensorflow.FeatureConverter)
- org.tribuo.interop.onnx.ImageTransformer (implements org.tribuo.interop.onnx.ExampleTransformer)
- org.tribuo.multilabel.baseline.IndependentMultiLabelTrainer (implements org.tribuo.Trainer<T>)
- org.tribuo.sequence.IndependentSequenceTrainer<T> (implements org.tribuo.sequence.SequenceTrainer<T>)
- org.tribuo.impl.IndexedArrayExample.FeatureTuple
- org.tribuo.data.columnar.extractors.IndexExtractor (implements org.tribuo.data.columnar.FieldExtractor<T>)
- org.tribuo.util.infotheory.InformationTheory
- org.tribuo.util.infotheory.InformationTheory.GTestStatistics
- org.tribuo.util.infotheory.example.InformationTheoryDemo
- org.tribuo.util.infotheory.example.InformationTheoryDemo.DemoOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.common.tree.impl.IntArrayContainer
- org.tribuo.util.IntDoublePair
- org.tribuo.regression.rtree.impl.InvertedFeature (implements java.lang.Comparable<T>)
- com.oracle.labs.mlrg.olcut.util.IOSpliterator<T> (implements java.util.Spliterator<T>)
- org.tribuo.json.JsonUtil
- org.tribuo.classification.sgd.kernel.KernelSVMOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.classification.sgd.kernel.KernelSVMTrainer (implements org.tribuo.Trainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.evaluation.KFoldSplitter<T>
- org.tribuo.evaluation.KFoldSplitter.TrainTestFold<T>
- org.tribuo.clustering.kmeans.KMeansOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.clustering.kmeans.KMeansTrainer (implements org.tribuo.Trainer<T>)
- org.tribuo.common.nearest.KNNClassifierOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.common.nearest.KNNTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.classification.Label (implements org.tribuo.classification.Classifiable<T>)
- org.tribuo.classification.evaluation.LabelConfusionMatrix (implements org.tribuo.classification.evaluation.ConfusionMatrix<T>)
- org.tribuo.interop.tensorflow.LabelConverter (implements org.tribuo.interop.tensorflow.OutputConverter<T>)
- org.tribuo.classification.evaluation.LabelEvaluationUtil
- org.tribuo.classification.evaluation.LabelEvaluationUtil.PRCurve
- org.tribuo.classification.evaluation.LabelEvaluationUtil.ROC
- org.tribuo.classification.LabelFactory (implements org.tribuo.OutputFactory<T>)
- org.tribuo.classification.LabelFactory.LabelFactoryProvenance (implements org.tribuo.provenance.OutputFactoryProvenance)
- org.tribuo.classification.LabelInfo (implements org.tribuo.OutputInfo<T>)
- org.tribuo.classification.example.LabelledDataGenerator
- org.tribuo.classification.evaluation.LabelMetric (implements org.tribuo.evaluation.metrics.EvaluationMetric<T,C>)
- org.tribuo.classification.sequence.LabelSequenceEvaluation (implements org.tribuo.sequence.SequenceEvaluation<T>)
- org.tribuo.interop.onnx.LabelTransformer (implements org.tribuo.interop.onnx.OutputTransformer<T>)
- org.tribuo.common.tree.LeafNode<T> (implements org.tribuo.common.tree.Node<T>)
- org.tribuo.classification.liblinear.LibLinearOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.common.liblinear.LibLinearTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.datasource.LibSVMDataSource<T> (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.classification.libsvm.LibSVMOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.common.libsvm.LibSVMTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.classification.explanations.lime.LIMEBase (implements org.tribuo.classification.explanations.TabularExplainer<T>)
- org.tribuo.classification.explanations.lime.LIMEColumnar (implements org.tribuo.classification.explanations.ColumnarExplainer<T>)
- org.tribuo.classification.explanations.lime.LIMEText (implements org.tribuo.classification.explanations.TextExplainer<T>)
- org.tribuo.classification.explanations.lime.LIMEExplanation (implements org.tribuo.classification.explanations.Explanation<T>)
- org.tribuo.classification.explanations.lime.LIMETextCLI (implements com.oracle.labs.mlrg.olcut.command.CommandGroup)
- org.tribuo.classification.explanations.lime.LIMETextCLI.LIMETextCLIOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.math.kernel.Linear (implements org.tribuo.math.kernel.Kernel)
- org.tribuo.anomaly.liblinear.LinearAnomalyType (implements org.tribuo.common.liblinear.LibLinearType<T>)
- org.tribuo.classification.liblinear.LinearClassificationType (implements org.tribuo.common.liblinear.LibLinearType<T>)
- org.tribuo.math.LinearParameters (implements org.tribuo.math.FeedForwardParameters)
- org.tribuo.regression.liblinear.LinearRegressionType (implements org.tribuo.common.liblinear.LibLinearType<T>)
- org.tribuo.transform.transformations.LinearScalingTransformation (implements org.tribuo.transform.Transformation)
- org.tribuo.transform.transformations.LinearScalingTransformation.LinearScalingTransformationProvenance (implements org.tribuo.transform.TransformationProvenance)
- org.tribuo.classification.sgd.linear.LinearSGDOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.multilabel.sgd.linear.LinearSGDOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.datasource.ListDataSource<T> (implements org.tribuo.DataSource<T>)
- org.tribuo.classification.sgd.objectives.LogMulticlass (implements org.tribuo.classification.sgd.LabelObjective)
- org.tribuo.math.util.MatrixHeapMerger (implements org.tribuo.math.util.Merger)
- org.tribuo.math.la.MatrixTuple
- org.tribuo.regression.rtree.impurity.MeanAbsoluteError (implements org.tribuo.regression.rtree.impurity.RegressorImpurity)
- org.tribuo.regression.rtree.impurity.MeanSquaredError (implements org.tribuo.regression.rtree.impurity.RegressorImpurity)
- org.tribuo.transform.transformations.MeanStdDevTransformation (implements org.tribuo.transform.Transformation)
- org.tribuo.transform.transformations.MeanStdDevTransformation.MeanStdDevTransformationProvenance (implements org.tribuo.transform.TransformationProvenance)
- org.tribuo.util.MeanVarianceAccumulator (implements java.io.Serializable)
- org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance)
- org.tribuo.evaluation.metrics.MetricContext<T>
- org.tribuo.evaluation.metrics.MetricTarget<T>
- org.tribuo.interop.tensorflow.example.MLPExamples
- org.tribuo.Model<T> (implements com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.ModelExplorer (implements com.oracle.labs.mlrg.olcut.command.CommandGroup)
- org.tribuo.ModelExplorer.ModelExplorerOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.provenance.ModelProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance)
- org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance)
- org.tribuo.multilabel.MultiLabel (implements org.tribuo.classification.Classifiable<T>)
- org.tribuo.multilabel.evaluation.MultiLabelConfusionMatrix (implements org.tribuo.classification.evaluation.ConfusionMatrix<T>)
- org.tribuo.interop.tensorflow.MultiLabelConverter (implements org.tribuo.interop.tensorflow.OutputConverter<T>)
- org.tribuo.multilabel.example.MultiLabelDataGenerator
- org.tribuo.multilabel.evaluation.MultiLabelEvaluationImpl (implements org.tribuo.multilabel.evaluation.MultiLabelEvaluation)
- org.tribuo.multilabel.MultiLabelFactory (implements org.tribuo.OutputFactory<T>)
- org.tribuo.multilabel.MultiLabelFactory.MultiLabelFactoryProvenance (implements org.tribuo.provenance.OutputFactoryProvenance)
- org.tribuo.multilabel.MultiLabelInfo (implements org.tribuo.OutputInfo<T>)
- org.tribuo.multilabel.evaluation.MultiLabelMetric (implements org.tribuo.evaluation.metrics.EvaluationMetric<T,C>)
- org.tribuo.classification.mnb.MultinomialNaiveBayesOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.classification.mnb.MultinomialNaiveBayesTrainer (implements org.tribuo.Trainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.util.MurmurHash3
- org.tribuo.util.MurmurHash3.LongPair
- org.tribuo.data.text.impl.NewsPreprocessor (implements org.tribuo.data.text.DocumentPreprocessor)
- org.tribuo.data.text.impl.NgramProcessor (implements org.tribuo.data.text.TextProcessor)
- org.tribuo.regression.example.NonlinearGaussianDataSource (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.util.tokens.impl.NonTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.classification.sequence.viterbi.NoopFeatureExtractor (implements org.tribuo.classification.sequence.viterbi.LabelFeatureExtractor)
- org.tribuo.math.util.NoopNormalizer (implements java.io.Serializable, org.tribuo.math.util.VectorNormalizer)
- org.tribuo.math.util.Normalizer (implements java.io.Serializable, org.tribuo.math.util.VectorNormalizer)
- org.tribuo.evaluation.OnlineEvaluator<T,E>
- com.oracle.labs.mlrg.olcut.util.Pair<T1,T2> (implements java.io.Serializable)
- org.tribuo.util.infotheory.impl.CachedPair<T1,T2>
- org.tribuo.evaluation.metrics.MetricID<T>
- org.tribuo.util.infotheory.impl.PairDistribution<T1,T2>
- org.tribuo.math.optimisers.ParameterAveraging (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.math.optimisers.Pegasos (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.math.kernel.Polynomial (implements org.tribuo.math.kernel.Kernel)
- org.tribuo.Prediction<T> (implements java.io.Serializable)
- org.tribuo.data.PreprocessAndSerialize
- org.tribuo.data.PreprocessAndSerialize.PreprocessAndSerializeOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.data.columnar.processors.response.Quartile (implements com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.columnar.processors.response.QuartileResponseProcessor<T> (implements org.tribuo.data.columnar.ResponseProcessor<T>)
- org.tribuo.util.tokens.universal.Range (implements java.lang.CharSequence)
- org.tribuo.math.kernel.RBF (implements org.tribuo.math.kernel.Kernel)
- org.tribuo.data.columnar.processors.field.RegexFieldProcessor (implements org.tribuo.data.columnar.FieldProcessor)
- org.tribuo.regression.example.RegressionDataGenerator
- org.tribuo.regression.RegressionFactory (implements org.tribuo.OutputFactory<T>)
- org.tribuo.regression.RegressionFactory.RegressionFactoryProvenance (implements org.tribuo.provenance.OutputFactoryProvenance)
- org.tribuo.regression.RegressionInfo (implements org.tribuo.OutputInfo<T>)
- org.tribuo.regression.evaluation.RegressionMetric (implements org.tribuo.evaluation.metrics.EvaluationMetric<T,C>)
- org.tribuo.regression.evaluation.RegressionSufficientStatistics
- org.tribuo.regression.Regressor (implements java.lang.Iterable<T>, org.tribuo.Output<T>)
- org.tribuo.interop.tensorflow.RegressorConverter (implements org.tribuo.interop.tensorflow.OutputConverter<T>)
- org.tribuo.regression.rtree.impurity.RegressorImpurity.ImpurityTuple
- org.tribuo.regression.rtree.impl.RegressorTrainingNode.InvertedData
- org.tribuo.interop.onnx.RegressorTransformer (implements org.tribuo.interop.onnx.OutputTransformer<T>)
- org.tribuo.tests.Resources
- org.tribuo.math.optimisers.RMSProp (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.util.infotheory.impl.Row<T>
- org.tribuo.util.infotheory.impl.RowList<T> (implements java.util.List<E>)
- org.tribuo.data.columnar.RowProcessor<T> (implements com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.classification.experiments.RunAll
- org.tribuo.classification.experiments.RunAll.RunAllOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sgd.crf.SeqTest
- org.tribuo.classification.sgd.crf.SeqTest.CRFOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sequence.SeqTrainTest
- org.tribuo.classification.sequence.SeqTrainTest.SeqTrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sequence.example.SequenceDataGenerator
- org.tribuo.sequence.SequenceDataset<T> (implements java.lang.Iterable<T>, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.sequence.SequenceExample<T> (implements java.lang.Iterable<T>, java.io.Serializable)
- org.tribuo.sequence.SequenceModel<T> (implements com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.sequence.SequenceModelExplorer (implements com.oracle.labs.mlrg.olcut.command.CommandGroup)
- org.tribuo.sequence.SequenceModelExplorer.SequenceModelExplorerOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.math.optimisers.SGD (implements org.tribuo.math.StochasticGradientOptimiser)
- org.tribuo.util.tokens.impl.ShapeTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.math.kernel.Sigmoid (implements org.tribuo.math.kernel.Kernel)
- org.tribuo.math.util.SigmoidNormalizer (implements java.io.Serializable, org.tribuo.math.util.VectorNormalizer)
- org.tribuo.provenance.SimpleDataSourceProvenance (implements org.tribuo.provenance.DataSourceProvenance)
- org.tribuo.data.columnar.extractors.SimpleFieldExtractor<T> (implements org.tribuo.data.columnar.FieldExtractor<T>)
- org.tribuo.transform.transformations.SimpleTransform (implements org.tribuo.transform.Transformation, org.tribuo.transform.Transformer, org.tribuo.transform.TransformStatistics)
- org.tribuo.transform.transformations.SimpleTransform.SimpleTransformProvenance (implements org.tribuo.transform.TransformationProvenance)
- com.oracle.labs.mlrg.olcut.provenance.impl.SkeletalConfiguredObjectProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance)
- org.tribuo.regression.impl.SkeletalIndependentRegressionSparseTrainer<T> (implements org.tribuo.SparseTrainer<T>)
- org.tribuo.regression.impl.SkeletalIndependentRegressionTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.SkeletalVariableInfo (implements org.tribuo.VariableInfo)
- org.tribuo.regression.slm.SLMTrainer (implements org.tribuo.SparseTrainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.math.la.SparseVector (implements org.tribuo.math.la.SGDVector)
- org.tribuo.util.tokens.impl.SplitCharactersTokenizer.SplitCharactersSplitterFunction (implements org.tribuo.util.tokens.impl.SplitFunctionTokenizer.SplitFunction)
- org.tribuo.util.tokens.options.SplitCharactersTokenizerOptions (implements org.tribuo.util.tokens.options.TokenizerOptions)
- org.tribuo.util.tokens.impl.SplitFunctionTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.common.tree.SplitNode<T> (implements org.tribuo.common.tree.Node<T>)
- org.tribuo.util.tokens.impl.SplitPatternTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.util.tokens.options.SplitPatternTokenizerOptions (implements org.tribuo.util.tokens.options.TokenizerOptions)
- org.tribuo.data.text.SplitTextData
- org.tribuo.data.text.SplitTextData.TrainTestSplitOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.data.sql.SQLDBConfig (implements com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.sql.SQLToCSV
- org.tribuo.data.sql.SQLToCSV.SQLToCSVOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.sgd.objectives.SquaredLoss (implements org.tribuo.regression.sgd.RegressionObjective)
- org.tribuo.json.StripProvenance
- org.tribuo.json.StripProvenance.StripProvenanceOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.data.text.impl.SumAggregator (implements org.tribuo.data.text.FeatureAggregator)
- org.tribuo.anomaly.libsvm.SVMAnomalyType (implements org.tribuo.common.libsvm.SVMType<T>)
- org.tribuo.classification.libsvm.SVMClassificationType (implements org.tribuo.common.libsvm.SVMType<T>)
- org.tribuo.common.libsvm.SVMParameters<T> (implements java.io.Serializable)
- org.tribuo.regression.libsvm.SVMRegressionType (implements org.tribuo.common.libsvm.SVMType<T>)
- org.tribuo.interop.tensorflow.sequence.TensorFlowSequenceTrainer<T> (implements org.tribuo.sequence.SequenceTrainer<T>)
- org.tribuo.interop.tensorflow.TensorFlowTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.interop.tensorflow.TensorFlowUtil
- org.tribuo.interop.tensorflow.TensorFlowUtil.TensorTuple (implements java.io.Serializable)
- org.tribuo.interop.tensorflow.TensorMap (implements java.lang.AutoCloseable)
- org.tribuo.classification.experiments.Test
- org.tribuo.classification.experiments.Test.ConfigurableTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.data.text.TextDataSource<T> (implements org.tribuo.ConfigurableDataSource<T>)
- org.tribuo.data.text.impl.TextFeatureExtractorImpl<T> (implements org.tribuo.data.text.TextFeatureExtractor<T>)
- org.tribuo.data.columnar.processors.field.TextFieldProcessor (implements org.tribuo.data.columnar.FieldProcessor)
- java.lang.Throwable (implements java.io.Serializable)
- org.tribuo.provenance.impl.TimestampedTrainerProvenance (implements org.tribuo.provenance.TrainerProvenance)
- org.tribuo.util.tokens.Token
- org.tribuo.data.text.impl.TokenPipeline (implements org.tribuo.data.text.TextPipeline)
- org.tribuo.interop.tensorflow.TrainTest
- org.tribuo.classification.mnb.TrainTest
- org.tribuo.classification.dtree.TrainTest
- org.tribuo.classification.experiments.TrainTest
- org.tribuo.classification.liblinear.TrainTest
- org.tribuo.classification.libsvm.TrainTest
- org.tribuo.classification.sgd.TrainTest
- org.tribuo.classification.sgd.kernel.TrainTest
- org.tribuo.classification.xgboost.TrainTest
- org.tribuo.clustering.kmeans.TrainTest
- org.tribuo.regression.liblinear.TrainTest
- org.tribuo.regression.libsvm.TrainTest
- org.tribuo.regression.rtree.TrainTest
- org.tribuo.regression.sgd.TrainTest
- org.tribuo.regression.xgboost.TrainTest
- org.tribuo.regression.slm.TrainTest
- org.tribuo.classification.experiments.TrainTest.AllClassificationOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.clustering.kmeans.TrainTest.KMeansOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.liblinear.TrainTest.LibLinearOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.libsvm.TrainTest.LibSVMOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.rtree.TrainTest.RegressionTreeOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.sgd.TrainTest.SGDOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.slm.TrainTest.SLMOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.interop.tensorflow.TrainTest.TensorflowOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.mnb.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.dtree.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.liblinear.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.libsvm.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sgd.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.sgd.kernel.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.xgboost.TrainTest.TrainTestOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.xgboost.TrainTest.XGBoostOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.TrainTestHelper
- org.tribuo.evaluation.TrainTestSplitter<T>
- org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance (implements org.tribuo.provenance.DataSourceProvenance)
- org.tribuo.transform.TransformationMap (implements com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.transform.TransformationMap.TransformationList (implements com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.transform.TransformerMap (implements com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.transform.TransformerMap.TransformerMapProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance)
- org.tribuo.transform.TransformTrainer<T> (implements org.tribuo.Trainer<T>)
- org.tribuo.regression.rtree.impl.TreeFeature (implements java.lang.Iterable<T>)
- org.tribuo.Tribuo
- org.tribuo.util.infotheory.impl.TripleDistribution<T1,T2,T3>
- org.tribuo.data.text.impl.UniqueAggregator (implements org.tribuo.data.text.FeatureAggregator)
- org.tribuo.data.columnar.processors.feature.UniqueProcessor (implements org.tribuo.data.columnar.FeatureProcessor)
- org.tribuo.util.tokens.universal.UniversalTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.util.Util
- org.tribuo.classification.sgd.Util
- org.tribuo.regression.sgd.Util
- org.tribuo.classification.sgd.Util.ExampleArray
- org.tribuo.classification.sgd.Util.SequenceExampleArray
- org.tribuo.math.la.VectorTuple
- org.tribuo.classification.sequence.viterbi.ViterbiTrainer (implements org.tribuo.sequence.SequenceTrainer<T>)
- org.tribuo.classification.sequence.viterbi.ViterbiTrainerOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.classification.ensemble.VotingCombiner (implements org.tribuo.ensemble.EnsembleCombiner<T>)
- org.tribuo.util.infotheory.impl.WeightCountTuple
- org.tribuo.util.infotheory.WeightedInformationTheory
- org.tribuo.util.infotheory.impl.WeightedPairDistribution<T1,T2>
- org.tribuo.util.infotheory.impl.WeightedTripleDistribution<T1,T2,T3>
- org.tribuo.util.tokens.impl.wordpiece.Wordpiece (implements com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.util.tokens.impl.wordpiece.WordpieceTokenizer (implements org.tribuo.util.tokens.Tokenizer)
- org.tribuo.classification.xgboost.XGBoostClassificationConverter (implements org.tribuo.common.xgboost.XGBoostOutputConverter<T>)
- org.tribuo.common.xgboost.XGBoostFeatureImportance
- org.tribuo.common.xgboost.XGBoostFeatureImportance.XGBoostFeatureImportanceInstance
- org.tribuo.classification.xgboost.XGBoostOptions (implements org.tribuo.classification.ClassificationOptions<TRAINER>)
- org.tribuo.regression.xgboost.XGBoostOptions (implements com.oracle.labs.mlrg.olcut.config.Options)
- org.tribuo.regression.xgboost.XGBoostRegressionConverter (implements org.tribuo.common.xgboost.XGBoostOutputConverter<T>)
- org.tribuo.common.xgboost.XGBoostTrainer<T> (implements org.tribuo.Trainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.common.xgboost.XGBoostTrainer.DMatrixTuple<T>
Interface Hierarchy
- java.lang.Cloneable
- org.tribuo.util.tokens.Tokenizer (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.VariableIDInfo
- org.tribuo.VariableInfo (also extends java.io.Serializable)
- org.tribuo.classification.explanations.ColumnarExplainer<T>
- java.lang.Comparable<T>
- com.oracle.labs.mlrg.olcut.config.Configurable
- org.tribuo.ConfigurableDataSource<T> (also extends org.tribuo.DataSource<T>)
- org.tribuo.common.tree.DecisionTreeTrainer<T> (also extends org.tribuo.SparseTrainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.data.text.DocumentPreprocessor (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.ensemble.EnsembleCombiner<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.interop.onnx.ExampleTransformer (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.data.text.FeatureAggregator (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.interop.tensorflow.FeatureConverter (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.data.columnar.FeatureProcessor (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.text.FeatureTransformer (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.columnar.FieldExtractor<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.columnar.FieldProcessor (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.IncrementalTrainer<T,U>
- org.tribuo.math.kernel.Kernel (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.classification.sequence.viterbi.LabelFeatureExtractor (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.classification.dtree.impurity.LabelImpurity (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.classification.sgd.LabelObjective
- org.tribuo.common.liblinear.LibLinearType<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.multilabel.sgd.MultiLabelObjective
- org.tribuo.interop.tensorflow.OutputConverter<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.OutputFactory<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.interop.onnx.OutputTransformer<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.regression.sgd.RegressionObjective
- org.tribuo.regression.rtree.impurity.RegressorImpurity (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.columnar.ResponseProcessor<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.interop.tensorflow.sequence.SequenceFeatureConverter (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.interop.tensorflow.sequence.SequenceOutputConverter<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.sequence.SequenceTrainer<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.common.sgd.SGDObjective<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.SparseTrainer<T>
- org.tribuo.math.StochasticGradientOptimiser (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.common.libsvm.SVMType<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
- org.tribuo.data.text.TextFeatureExtractor<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.text.TextPipeline (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.data.text.TextProcessor (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.util.tokens.Tokenizer (also extends java.lang.Cloneable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.Trainer<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.transform.Transformation (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.classification.evaluation.ConfusionMatrix<T>
- org.tribuo.evaluation.metrics.EvaluationMetric<T,C>
- org.tribuo.evaluation.EvaluationRenderer<T,E>
- org.tribuo.evaluation.Evaluator<T,E>
- java.lang.Iterable<T>
- java.util.Iterator<E>
- org.tribuo.util.Merger
- com.oracle.labs.mlrg.olcut.config.Options
- com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>
- org.tribuo.anomaly.evaluation.AnomalyEvaluation
- org.tribuo.classification.evaluation.ClassifierEvaluation<T>
- org.tribuo.clustering.evaluation.ClusteringEvaluation
- org.tribuo.ConfigurableDataSource<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, org.tribuo.DataSource<T>)
- org.tribuo.DataSource<T> (also extends java.lang.Iterable<T>)
- org.tribuo.common.tree.DecisionTreeTrainer<T> (also extends org.tribuo.SparseTrainer<T>, org.tribuo.WeightedExamples)
- org.tribuo.data.text.DocumentPreprocessor (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.ensemble.EnsembleCombiner<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.evaluation.Evaluation<T>
- org.tribuo.interop.onnx.ExampleTransformer (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.data.text.FeatureAggregator (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.interop.tensorflow.FeatureConverter (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.data.columnar.FeatureProcessor (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.text.FeatureTransformer (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.columnar.FieldExtractor<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.columnar.FieldProcessor (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.IncrementalTrainer<T,U>
- org.tribuo.math.kernel.Kernel (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.classification.evaluation.LabelEvaluation
- org.tribuo.classification.sequence.viterbi.LabelFeatureExtractor (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.classification.dtree.impurity.LabelImpurity (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.classification.sgd.LabelObjective
- org.tribuo.common.liblinear.LibLinearType<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.multilabel.evaluation.MultiLabelEvaluation
- org.tribuo.multilabel.sgd.MultiLabelObjective
- org.tribuo.interop.tensorflow.OutputConverter<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.OutputFactory<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.interop.onnx.OutputTransformer<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.regression.evaluation.RegressionEvaluation
- org.tribuo.regression.sgd.RegressionObjective
- org.tribuo.regression.rtree.impurity.RegressorImpurity (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.columnar.ResponseProcessor<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.sequence.SequenceDataSource<T> (also extends java.lang.Iterable<T>)
- org.tribuo.sequence.SequenceEvaluation<T>
- org.tribuo.interop.tensorflow.sequence.SequenceFeatureConverter (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.interop.tensorflow.sequence.SequenceOutputConverter<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.sequence.SequenceTrainer<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.common.sgd.SGDObjective<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.SparseTrainer<T>
- org.tribuo.math.StochasticGradientOptimiser (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.common.libsvm.SVMType<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, java.io.Serializable)
- org.tribuo.data.text.TextFeatureExtractor<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.text.TextPipeline (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.data.text.TextProcessor (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.util.tokens.Tokenizer (also extends java.lang.Cloneable, com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.Trainer<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.transform.Transformation (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
- org.tribuo.sequence.SequenceEvaluator<T,E>
- java.io.Serializable
- org.tribuo.classification.Classifiable<T>
- org.tribuo.provenance.ConfiguredDataSourceProvenance (also extends com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance, org.tribuo.provenance.DataSourceProvenance)
- com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance
- org.tribuo.provenance.DataProvenance
- org.tribuo.provenance.DataSourceProvenance (also extends org.tribuo.provenance.DataProvenance, com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance)
- org.tribuo.ensemble.EnsembleCombiner<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.interop.onnx.ExampleTransformer (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.classification.explanations.Explanation<T>
- org.tribuo.interop.tensorflow.FeatureConverter (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.math.FeedForwardParameters
- org.tribuo.ImmutableOutputInfo<T> (also extends java.lang.Iterable<T>, org.tribuo.OutputInfo<T>)
- org.tribuo.math.kernel.Kernel (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.classification.sequence.viterbi.LabelFeatureExtractor (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.common.liblinear.LibLinearType<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.math.la.Matrix (also extends java.lang.Iterable<T>, org.tribuo.math.la.Tensor)
- org.tribuo.math.util.Merger
- org.tribuo.MutableOutputInfo<T>
- org.tribuo.common.tree.Node<T>
- com.oracle.labs.mlrg.olcut.provenance.ObjectProvenance (also extends java.lang.Iterable<T>, com.oracle.labs.mlrg.olcut.provenance.Provenance)
- org.tribuo.Output<T>
- org.tribuo.interop.tensorflow.OutputConverter<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.OutputFactory<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.provenance.OutputFactoryProvenance
- org.tribuo.OutputInfo<T>
- org.tribuo.interop.onnx.OutputTransformer<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.math.Parameters
- com.oracle.labs.mlrg.olcut.provenance.Provenance
- org.tribuo.interop.tensorflow.sequence.SequenceFeatureConverter (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.interop.tensorflow.sequence.SequenceOutputConverter<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.math.la.SGDVector (also extends java.lang.Iterable<T>, org.tribuo.math.la.Tensor)
- org.tribuo.common.libsvm.SVMType<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
- org.tribuo.math.la.Tensor
- org.tribuo.provenance.TrainerProvenance
- org.tribuo.transform.TransformationProvenance
- org.tribuo.transform.Transformer
- org.tribuo.VariableIDInfo
- org.tribuo.VariableInfo (also extends java.lang.Cloneable)
- org.tribuo.math.util.VectorNormalizer
- org.tribuo.common.xgboost.XGBoostOutputConverter<T>
- org.tribuo.math.optimisers.util.ShrinkingTensor
- org.tribuo.util.tokens.impl.SplitFunctionTokenizer.SplitFunction
- org.tribuo.classification.explanations.TabularExplainer<T>
- org.tribuo.classification.explanations.TextExplainer<T>
- org.tribuo.transform.TransformStatistics
- org.tribuo.WeightedExamples
- org.tribuo.classification.WeightedLabels
Enum Hierarchy
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