Index

A B C D E F G H I J K L M N O P R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

AbstractEvaluator<T extends Output<T>,C extends MetricContext<T>,E extends Evaluation<T>,M extends EvaluationMetric<T,C>> - Class in org.tribuo.evaluation

Base class for evaluators.

AbstractEvaluator() - Constructor for class org.tribuo.evaluation.AbstractEvaluator

AbstractSequenceEvaluator<T extends Output<T>,C extends MetricContext<T>,E extends SequenceEvaluation<T>,M extends EvaluationMetric<T,C>> - Class in org.tribuo.sequence

Base class for sequence evaluators.

AbstractSequenceEvaluator() - Constructor for class org.tribuo.sequence.AbstractSequenceEvaluator

add - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Adds the specified constant.

add() - Static method in interface org.tribuo.util.Merger

A merger which adds the elements.

add(double) - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that adds the operand to each value.

add(String) - Method in class org.tribuo.impl.BinaryFeaturesExample

Adds a single feature with a value of 1.

add(String, double) - Method in class org.tribuo.impl.ArrayExample

Adds a single feature.

add(String, double) - Method in class org.tribuo.MutableFeatureMap

Adds an occurrence of a feature with a given name.

add(Example<T>) - Method in class org.tribuo.ImmutableDataset

Adds an Example to the dataset, which will remove features with unknown names.

add(Example<T>) - Method in class org.tribuo.MutableDataset

Adds an example to the dataset, which observes the output and each feature value.

add(Example<T>, Merger) - Method in class org.tribuo.ImmutableDataset

Adds a Example to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids (merging duplicate ids).

add(Feature) - Method in class org.tribuo.Example

Adds a feature.

add(Feature) - Method in class org.tribuo.impl.ArrayExample

add(Feature) - Method in class org.tribuo.impl.BinaryFeaturesExample

Adds a feature to this example.

add(Feature) - Method in class org.tribuo.impl.IndexedArrayExample

add(Feature) - Method in class org.tribuo.impl.ListExample

add(SequenceExample<T>) - Method in class org.tribuo.sequence.ImmutableSequenceDataset

Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.

add(SequenceExample<T>) - Method in class org.tribuo.sequence.MutableSequenceDataset

Adds a SequenceExample to this dataset.

add(SequenceExample<T>, Merger) - Method in class org.tribuo.sequence.ImmutableSequenceDataset

Adds a SequenceExample to the dataset, which will insert feature ids, remove unknown features and sort the examples by the feature ids.

addAll(Collection<? extends Example<T>>) - Method in class org.tribuo.MutableDataset

Adds all the Examples in the supplied collection to this dataset.

addAll(Collection<? extends Feature>) - Method in class org.tribuo.Example

Adds a collection of features.

addAll(Collection<? extends Feature>) - Method in class org.tribuo.impl.ArrayExample

addAll(Collection<? extends Feature>) - Method in class org.tribuo.impl.BinaryFeaturesExample

Adds a collection of features to this example.

addAll(Collection<? extends Feature>) - Method in class org.tribuo.impl.IndexedArrayExample

addAll(Collection<? extends Feature>) - Method in class org.tribuo.impl.ListExample

addAll(Collection<SequenceExample<T>>) - Method in class org.tribuo.sequence.MutableSequenceDataset

Adds all the SequenceExamples in the supplied collection to this dataset.

addExample(Example<T>) - Method in class org.tribuo.sequence.SequenceExample

Adds an Example to this sequence.

AggregateConfigurableDataSource<T extends Output<T>> - Class in org.tribuo.datasource

Aggregates multiple ConfigurableDataSources, uses AggregateDataSource.IterationOrder to control the iteration order.

AggregateConfigurableDataSource(List<ConfigurableDataSource<T>>) - Constructor for class org.tribuo.datasource.AggregateConfigurableDataSource

Creates an aggregate data source which will iterate the provided sources in the order of the list (i.e., using AggregateDataSource.IterationOrder.SEQUENTIAL.

AggregateConfigurableDataSource(List<ConfigurableDataSource<T>>, AggregateDataSource.IterationOrder) - Constructor for class org.tribuo.datasource.AggregateConfigurableDataSource

Creates an aggregate data source using the supplied sources and iteration order.

AggregateConfigurableDataSource.AggregateConfigurableDataSourceProvenance - Class in org.tribuo.datasource

Provenance for the AggregateConfigurableDataSource.

AggregateConfigurableDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.datasource.AggregateConfigurableDataSource.AggregateConfigurableDataSourceProvenance

Deserialization constructor.

AggregateDataSource<T extends Output<T>> - Class in org.tribuo.datasource

Aggregates multiple DataSources, uses AggregateDataSource.IterationOrder to control the iteration order.

AggregateDataSource(List<DataSource<T>>) - Constructor for class org.tribuo.datasource.AggregateDataSource

Creates an aggregate data source which will iterate the provided sources in the order of the list (i.e., using AggregateDataSource.IterationOrder.SEQUENTIAL.

AggregateDataSource(List<DataSource<T>>, AggregateDataSource.IterationOrder) - Constructor for class org.tribuo.datasource.AggregateDataSource

Creates an aggregate data source using the supplied sources and iteration order.

AggregateDataSource.AggregateDataSourceProvenance - Class in org.tribuo.datasource

Provenance for the AggregateDataSource.

AggregateDataSource.IterationOrder - Enum in org.tribuo.datasource

Specifies the iteration order of the inner sources.

AggregateDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance

Deserialization constructor.

ALL_OUTPUTS - Static variable in class org.tribuo.Model

Used in getTopFeatures when the Model doesn't support per output feature lists.

allProvenances() - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

allProvenances() - Method in class org.tribuo.dataset.MinimumCardinalityDataset.MinimumCardinalityDatasetProvenance

allProvenances() - Method in class org.tribuo.provenance.DatasetProvenance

Returns a list of all the provenances.

allProvenances() - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset.MinimumCardinalitySequenceDatasetProvenance

apply(E) - Method in interface org.tribuo.evaluation.EvaluationRenderer

Convert the evaluation to a string.

applyTransformerList(double, List<Transformer>) - Static method in class org.tribuo.transform.TransformerMap

Applies a List of Transformers to the supplied double value, returning the transformed value.

ARCH_STRING - Static variable in class org.tribuo.provenance.ModelProvenance

archString - Variable in class org.tribuo.provenance.ModelProvenance

argmax(List<R>, Function<R, Double>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Calculates the argmax of a metric across the supplied evaluations.

argmax(List<T>) - Static method in class org.tribuo.util.Util

Find the index of the maximum value in a list.

argmax(EvaluationMetric<T, C>, List<? extends Model<T>>, Dataset<T>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Calculates the argmax of a metric across the supplied models (i.e., the index of the model which performed the best).

argmax(EvaluationMetric<T, C>, Model<T>, List<? extends Dataset<T>>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Calculates the argmax of a metric across the supplied datasets.

argmin(List<T>) - Static method in class org.tribuo.util.Util

Find the index of the minimum value in a list.

ArrayExample<T extends Output<T>> - Class in org.tribuo.impl

An Example backed by two arrays, one of String and one of double.

ArrayExample(Example<T>) - Constructor for class org.tribuo.impl.ArrayExample

Copy constructor.

ArrayExample(T) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output.

ArrayExample(T, float) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output and a weight.

ArrayExample(T, float, int) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output and a weight, with an initial size for the feature arrays.

ArrayExample(T, float, Map<String, Object>) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output, a weight and the metadata.

ArrayExample(T, String[], double[]) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output, an array of names and an array of values.

ArrayExample(T, List<? extends Feature>) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output and a list of features.

ArrayExample(T, Map<String, Object>) - Constructor for class org.tribuo.impl.ArrayExample

Constructs an example from an output and the metadata.

ArrayExample(T, Example<U>, float) - Constructor for class org.tribuo.impl.ArrayExample

Clones an example's features, but uses the supplied output and weight.

asMap() - Method in interface org.tribuo.evaluation.Evaluation

Get a map of all the metrics stored in this evaluation.

asMap() - Method in interface org.tribuo.sequence.SequenceEvaluation

Get a map of all the metrics stored in this evaluation.

auc(double[], double[]) - Static method in class org.tribuo.util.Util

Calculates the area under the curve, bounded below by the x axis.

B

BaggingTrainer<T extends Output<T>> - Class in org.tribuo.ensemble

A Trainer that wraps another trainer and produces a bagged ensemble.

BaggingTrainer() - Constructor for class org.tribuo.ensemble.BaggingTrainer

For the configuration system.

BaggingTrainer(Trainer<T>, EnsembleCombiner<T>, int) - Constructor for class org.tribuo.ensemble.BaggingTrainer

Constructs a bagging trainer with the supplied parameters using Trainer.DEFAULT_SEED as the RNG seed.

BaggingTrainer(Trainer<T>, EnsembleCombiner<T>, int, long) - Constructor for class org.tribuo.ensemble.BaggingTrainer

Constructs a bagging trainer with the supplied parameters.

BIAS_FEATURE - Static variable in class org.tribuo.Model

Used to denote the bias feature in a linear model.

binarise - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Binarises the output around 1.0.

binarise() - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that sets negative and zero values to zero and positive values to one.

BinaryFeaturesExample<T extends Output<T>> - Class in org.tribuo.impl

An Example backed by a single array of feature names.

BinaryFeaturesExample(Example<T>) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Copy constructor.

BinaryFeaturesExample(T) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output.

BinaryFeaturesExample(T, float) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output and a weight.

BinaryFeaturesExample(T, float, int) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output and a weight, with an initial size for the feature arrays.

BinaryFeaturesExample(T, float, Map<String, Object>) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output, a weight and the metadata.

BinaryFeaturesExample(T, String[]) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output and an array of names.

BinaryFeaturesExample(T, List<? extends Feature>) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output and a list of features.

BinaryFeaturesExample(T, Map<String, Object>) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Constructs an example from an output and the metadata.

BinaryFeaturesExample(T, Example<U>, float) - Constructor for class org.tribuo.impl.BinaryFeaturesExample

Clones an example's features, but uses the supplied output and weight.

binarySearch(List<? extends Comparable<? super T>>, T) - Static method in class org.tribuo.util.Util

A binary search function.

binarySearch(List<? extends Comparable<? super T>>, T, int, int) - Static method in class org.tribuo.util.Util

A binary search function.

binarySearch(List<? extends T>, int, ToIntFunction<T>) - Static method in class org.tribuo.util.Util

A binary search function.

BinningTransformation - Class in org.tribuo.transform.transformations

A Transformation which bins values.

BinningTransformation.BinningTransformationProvenance - Class in org.tribuo.transform.transformations

Provenance for BinningTransformation.

BinningTransformation.BinningType - Enum in org.tribuo.transform.transformations

The allowed binning types.

BinningTransformationProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.transform.transformations.BinningTransformation.BinningTransformationProvenance

Deserialization constructor.

BUILD_TIMESTAMP - Static variable in class org.tribuo.Tribuo

The build timestamp.

buildModel(ONNXContext, String, long, M) - Static method in interface org.tribuo.ONNXExportable

Creates an ONNX model protobuf for the supplied context.

BYTE - Enum constant in enum org.tribuo.datasource.IDXDataSource.IDXType

A signed byte.

C

canonicalise(FeatureMap) - Method in class org.tribuo.sequence.SequenceExample

Reassigns feature name Strings in each Example inside this SequenceExample to point to those in the FeatureMap.

canonicalize(FeatureMap) - Method in class org.tribuo.Example

Reassigns feature name Strings in the Example to point to those in the FeatureMap.

canonicalize(FeatureMap) - Method in class org.tribuo.impl.ArrayExample

canonicalize(FeatureMap) - Method in class org.tribuo.impl.BinaryFeaturesExample

canonicalize(FeatureMap) - Method in class org.tribuo.impl.ListExample

castDataset(Dataset<?>, Class<T>) - Static method in class org.tribuo.Dataset

Casts the dataset to the specified output type, assuming it is valid.

castModel(Class<U>) - Method in class org.tribuo.Model

Casts the model to the specified output type, assuming it is valid.

CategoricalIDInfo - Class in org.tribuo

Same as a CategoricalInfo, but with an additional int id field.

CategoricalIDInfo(CategoricalInfo, int) - Constructor for class org.tribuo.CategoricalIDInfo

Constructs a categorical id info copying the information from the supplied info, with the specified id.

CategoricalInfo - Class in org.tribuo

Stores information about Categorical features.

CategoricalInfo(String) - Constructor for class org.tribuo.CategoricalInfo

Constructs a new empty categorical info for the supplied feature name.

CategoricalInfo(CategoricalInfo) - Constructor for class org.tribuo.CategoricalInfo

Constructs a deep copy of the supplied categorical info.

CategoricalInfo(CategoricalInfo, String) - Constructor for class org.tribuo.CategoricalInfo

Constructs a deep copy of the supplied categorical info, with the new feature name.

cdf - Variable in class org.tribuo.CategoricalInfo

The CDF to sample from.

checkIsBinary(Feature) - Static method in class org.tribuo.impl.BinaryFeaturesExample

Checks if the supplied feature is binary, if not throw an IllegalArgumentException.

className - Variable in class org.tribuo.provenance.ModelProvenance

clear() - Method in class org.tribuo.impl.ListExample

Clears the features from this example.

clear() - Method in class org.tribuo.MutableDataset

Clears all the examples out of this dataset, and flushes the FeatureMap, OutputInfo, and transform provenances.

clear() - Method in class org.tribuo.MutableFeatureMap

Clears all the feature observations.

clear() - Method in interface org.tribuo.MutableOutputInfo

Clears the OutputInfo, removing all things it's observed.

clear() - Method in class org.tribuo.sequence.MutableSequenceDataset

Clears all the examples out of this dataset, and flushes the FeatureMap, OutputInfo, and transform provenances.

clone() - Method in class org.tribuo.Feature

combine(ImmutableOutputInfo<T>, List<Prediction<T>>) - Method in interface org.tribuo.ensemble.EnsembleCombiner

Combine the predictions.

combine(ImmutableOutputInfo<T>, List<Prediction<T>>, float[]) - Method in interface org.tribuo.ensemble.EnsembleCombiner

Combine the supplied predictions.

combiner - Variable in class org.tribuo.ensemble.BaggingTrainer

combiner - Variable in class org.tribuo.ensemble.WeightedEnsembleModel

compareTo(Feature) - Method in class org.tribuo.Feature

compute(C) - Method in interface org.tribuo.evaluation.metrics.EvaluationMetric

Compute the result of this metric from the input context.

computeResults(C, Set<? extends EvaluationMetric<T, C>>) - Method in class org.tribuo.evaluation.AbstractEvaluator

Computes each metric given the context.

computeResults(C, Set<? extends EvaluationMetric<T, C>>) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Computes each metric given the context.

ConfigurableDataSource<T extends Output<T>> - Interface in org.tribuo

It's a DataSource that's also Configurable.

ConfiguredDataSourceProvenance - Interface in org.tribuo.provenance

A tag interface for configurable data source provenance.

constructInfoForExternalModel(Map<T, Integer>) - Method in interface org.tribuo.OutputFactory

Creates an ImmutableOutputInfo from the supplied mapping.

contains(int) - Method in class org.tribuo.impl.IndexedArrayExample

Does this example contain a feature with id i.

containsMetadata(String) - Method in class org.tribuo.Example

Test if the metadata contains the supplied key.

convert(byte) - Static method in enum org.tribuo.datasource.IDXDataSource.IDXType

Converts the byte into the enum.

copy() - Method in class org.tribuo.CategoricalIDInfo

copy() - Method in class org.tribuo.CategoricalInfo

copy() - Method in class org.tribuo.Example

Returns a deep copy of this Example.

copy() - Method in class org.tribuo.impl.ArrayExample

copy() - Method in class org.tribuo.impl.BinaryFeaturesExample

copy() - Method in class org.tribuo.impl.IndexedArrayExample

copy() - Method in class org.tribuo.impl.ListExample

copy() - Method in class org.tribuo.Model

Copies a model, returning a deep copy of any mutable state, and a shallow copy otherwise.

copy() - Method in interface org.tribuo.Output

Deep copy of the output up to it's immutable state.

copy() - Method in interface org.tribuo.OutputInfo

Generates a copy of this OutputInfo, including it's mutability.

copy() - Method in class org.tribuo.RealIDInfo

copy() - Method in class org.tribuo.RealInfo

copy() - Method in class org.tribuo.sequence.SequenceExample

Returns a deep copy of this SequenceExample.

copy() - Method in class org.tribuo.SparseModel

copy() - Method in interface org.tribuo.VariableInfo

Returns a copy of this variable info.

copy(String, EnsembleModelProvenance, List<Model<T>>) - Method in class org.tribuo.ensemble.EnsembleModel

Copies this ensemble model.

copy(String, EnsembleModelProvenance, List<Model<T>>) - Method in class org.tribuo.ensemble.WeightedEnsembleModel

copy(String, ModelProvenance) - Method in class org.tribuo.ensemble.EnsembleModel

copy(String, ModelProvenance) - Method in class org.tribuo.Model

Copies a model, replacing its provenance and name with the supplied values.

copy(String, ModelProvenance) - Method in class org.tribuo.transform.TransformedModel

copyDataset(Dataset<T>) - Static method in class org.tribuo.ImmutableDataset

Creates an immutable deep copy of the supplied dataset.

copyDataset(Dataset<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Static method in class org.tribuo.ImmutableDataset

Creates an immutable deep copy of the supplied dataset, using a different feature and output map.

copyDataset(Dataset<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>, Merger) - Static method in class org.tribuo.ImmutableDataset

Creates an immutable deep copy of the supplied dataset.

copyDataset(SequenceDataset<T>) - Static method in class org.tribuo.sequence.ImmutableSequenceDataset

Creates an immutable deep copy of the supplied dataset.

copyDataset(SequenceDataset<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Static method in class org.tribuo.sequence.ImmutableSequenceDataset

Creates an immutable deep copy of the supplied dataset, using a different feature and output map.

copyDataset(SequenceDataset<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>, Merger) - Static method in class org.tribuo.sequence.ImmutableSequenceDataset

Creates an immutable deep copy of the supplied dataset.

copyValues(int) - Method in class org.tribuo.impl.ArrayExample

Returns a copy of the feature values array at the specific size.

count - Variable in class org.tribuo.SkeletalVariableInfo

How often the feature occurs in the dataset.

createBootstrapView(Dataset<T>, int, long) - Static method in class org.tribuo.dataset.DatasetView

Generates a DatasetView bootstrapped from the supplied Dataset.

createBootstrapView(Dataset<T>, int, long, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Static method in class org.tribuo.dataset.DatasetView

Generates a DatasetView bootstrapped from the supplied Dataset.

createContext(Model<T>, List<Prediction<T>>) - Method in class org.tribuo.evaluation.AbstractEvaluator

Create the context needed for evaluation.

createContext(Model<T>, List<Prediction<T>>) - Method in interface org.tribuo.evaluation.metrics.EvaluationMetric

Creates the context this metric uses to compute it's value.

createContext(Model<T>, Dataset<T>) - Method in interface org.tribuo.evaluation.metrics.EvaluationMetric

Creates the metric context used to compute this metric's value, generating Predictions for each Example in the supplied dataset.

createContext(SequenceModel<T>, List<List<Prediction<T>>>) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Create the context needed for evaluation.

createDeepCopy(Dataset<T>) - Static method in class org.tribuo.MutableDataset

Creates a deep copy of the supplied Dataset which is mutable.

createEnsembleFromExistingModels(String, List<Model<T>>, EnsembleCombiner<T>) - Static method in class org.tribuo.ensemble.WeightedEnsembleModel

Creates an ensemble from existing models.

createEnsembleFromExistingModels(String, List<Model<T>>, EnsembleCombiner<T>, float[]) - Static method in class org.tribuo.ensemble.WeightedEnsembleModel

Creates an ensemble from existing models.

createEvaluation(C, Map<MetricID<T>, Double>, EvaluationProvenance) - Method in class org.tribuo.evaluation.AbstractEvaluator

Create an evaluation for the given results

createEvaluation(C, Map<MetricID<T>, Double>, EvaluationProvenance) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Create an evaluation for the given results

createIDXData(IDXDataSource.IDXType, int[], double[]) - Static method in class org.tribuo.datasource.IDXDataSource.IDXData

Constructs an IDXData, validating the input and defensively copying it.

createMetrics(Model<T>) - Method in class org.tribuo.evaluation.AbstractEvaluator

Creates the appropriate set of metrics for this model, by querying for it's OutputInfo.

createMetrics(SequenceModel<T>) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Creates the appropriate set of metrics for this model, by querying for it's OutputInfo.

createOnlineEvaluator(Model<T>, DataProvenance) - Method in interface org.tribuo.evaluation.Evaluator

Creates an online evaluator that maintains a list of all the predictions it has seen and can evaluate them upon request.

createStats() - Method in interface org.tribuo.transform.Transformation

Creates the statistics object for this Transformation.

createStats() - Method in class org.tribuo.transform.transformations.BinningTransformation

createStats() - Method in class org.tribuo.transform.transformations.IDFTransformation

createStats() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation

createStats() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation

createStats() - Method in class org.tribuo.transform.transformations.SimpleTransform

Returns itself.

createTransformers(TransformationMap) - Method in class org.tribuo.Dataset

Takes a TransformationMap and converts it into a TransformerMap by observing all the values in this dataset.

createTransformers(TransformationMap, boolean) - Method in class org.tribuo.Dataset

Takes a TransformationMap and converts it into a TransformerMap by observing all the values in this dataset.

createView(Dataset<T>, Predicate<Example<T>>, String) - Static method in class org.tribuo.dataset.DatasetView

Creates a view from the supplied dataset, using the specified predicate to test if each example should be in this view.

createWeightedBootstrapView(Dataset<T>, int, long, float[]) - Static method in class org.tribuo.dataset.DatasetView

Generates a DatasetView bootstrapped from the supplied Dataset using the supplied example weights.

createWeightedBootstrapView(Dataset<T>, int, long, float[], ImmutableFeatureMap, ImmutableOutputInfo<T>) - Static method in class org.tribuo.dataset.DatasetView

Generates a DatasetView bootstrapped from the supplied Dataset using the supplied example weights.

createWithEmptyOutputs(List<? extends List<? extends Feature>>, OutputFactory<T>) - Static method in class org.tribuo.sequence.SequenceExample

Creates a SequenceExample using OutputFactory.getUnknownOutput() as the output for each sequence element.

CREATION_TIME - Static variable in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

The name of the provenance field storing the model creation time.

CrossValidation<T extends Output<T>,E extends Evaluation<T>> - Class in org.tribuo.evaluation

A class that does k-fold cross-validation.

CrossValidation(Trainer<T>, Dataset<T>, Evaluator<T, E>, int) - Constructor for class org.tribuo.evaluation.CrossValidation

Builds a k-fold cross-validation loop.

CrossValidation(Trainer<T>, Dataset<T>, Evaluator<T, E>, int, long) - Constructor for class org.tribuo.evaluation.CrossValidation

Builds a k-fold cross-validation loop.

cumulativeSum(boolean[]) - Static method in class org.tribuo.util.Util

Produces a cumulative sum array.

cumulativeSum(double[]) - Static method in class org.tribuo.util.Util

Produces a cumulative sum array.

D

data - Variable in class org.tribuo.Dataset

The data in this data set.

data - Variable in class org.tribuo.sequence.SequenceDataset

The data in this data set.

DataProvenance - Interface in org.tribuo.provenance

Tag interface for data sources provenances.

Dataset<T extends Output<T>> - Class in org.tribuo

A class for sets of data, which are used to train and evaluate classifiers.

Dataset(DataSource<T>) - Constructor for class org.tribuo.Dataset

Creates a dataset.

Dataset(DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.Dataset

Creates a dataset.

DATASET - Static variable in class org.tribuo.provenance.ModelProvenance

datasetProvenance - Variable in class org.tribuo.provenance.ModelProvenance

DatasetProvenance - Class in org.tribuo.provenance

Base class for dataset provenance.

DatasetProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.DatasetProvenance

Deserialization constructor.

DatasetProvenance(DataProvenance, ListProvenance<ObjectProvenance>, String, boolean, boolean, int, int, int) - Constructor for class org.tribuo.provenance.DatasetProvenance

Constructs a dataset provenance using the supplied information.

DatasetProvenance(DataProvenance, ListProvenance<ObjectProvenance>, Dataset<T>) - Constructor for class org.tribuo.provenance.DatasetProvenance

Creates a dataset provenance from the supplied dataset.

DatasetProvenance(DataProvenance, ListProvenance<ObjectProvenance>, SequenceDataset<T>) - Constructor for class org.tribuo.provenance.DatasetProvenance

Creates a dataset provenance from the supplied sequence dataset.

DatasetView<T extends Output<T>> - Class in org.tribuo.dataset

DatasetView provides an immutable view on another Dataset that only exposes selected examples.

DatasetView(Dataset<T>, int[], String) - Constructor for class org.tribuo.dataset.DatasetView

Creates a DatasetView which includes the supplied indices from the dataset.

DatasetView(Dataset<T>, int[], ImmutableFeatureMap, ImmutableOutputInfo<T>, String) - Constructor for class org.tribuo.dataset.DatasetView

Creates a DatasetView which includes the supplied indices from the dataset.

DatasetView.DatasetViewProvenance - Class in org.tribuo.dataset

Provenance for the DatasetView.

DatasetViewProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.dataset.DatasetView.DatasetViewProvenance

Deserialization constructor.

DataSource<T extends Output<T>> - Interface in org.tribuo

A interface for things that can be given to a Dataset's constructor.

DATASOURCE_CREATION_TIME - Static variable in interface org.tribuo.provenance.DataSourceProvenance

The name of the provenance field for the datasource timestamp.

DataSourceProvenance - Interface in org.tribuo.provenance

Data source provenance.

DEFAULT_METADATA_SIZE - Static variable in class org.tribuo.Example

The default initial size of the metadata map.

DEFAULT_SEED - Static variable in interface org.tribuo.Trainer

Default seed used to initialise RNGs.

DEFAULT_SIZE - Static variable in class org.tribuo.impl.ArrayExample

Default initial size of the backing arrays.

DEFAULT_SIZE - Static variable in class org.tribuo.impl.BinaryFeaturesExample

Default initial size of the backing arrays.

DEFAULT_WEIGHT - Static variable in class org.tribuo.Example

The default weight.

DEFAULT_WEIGHT - Static variable in class org.tribuo.sequence.SequenceExample

The default sequence example weight.

dense - Variable in class org.tribuo.MutableDataset

Denotes if this dataset contains implicit zeros or not.

dense - Variable in class org.tribuo.sequence.MutableSequenceDataset

Does this dataset have a dense feature space.

densify() - Method in class org.tribuo.MutableDataset

Iterates through the examples, converting implicit zeros into explicit zeros.

densify() - Method in class org.tribuo.sequence.MutableSequenceDataset

Iterates through the examples, converting implicit zeros into explicit zeros.

densify(List<String>) - Method in class org.tribuo.Example

Converts all implicit zeros into explicit zeros based on the supplied feature names.

densify(List<String>) - Method in class org.tribuo.impl.ArrayExample

densify(List<String>) - Method in class org.tribuo.impl.BinaryFeaturesExample

densify(List<String>) - Method in class org.tribuo.impl.IndexedArrayExample

densify(List<String>) - Method in class org.tribuo.impl.ListExample

densify(FeatureMap) - Method in class org.tribuo.Example

Converts all implicit zeros into explicit zeros based on the supplied feature map.

densify(FeatureMap) - Method in class org.tribuo.impl.BinaryFeaturesExample

densify(FeatureMap) - Method in class org.tribuo.sequence.SequenceExample

Converts all implicit zeros into explicit zeros based on the supplied feature map.

DESCRIPTION - Static variable in class org.tribuo.provenance.SimpleDataSourceProvenance

The description field in the provenance.

DescriptiveStats - Class in org.tribuo.evaluation

Descriptive statistics calculated across a list of doubles.

DescriptiveStats() - Constructor for class org.tribuo.evaluation.DescriptiveStats

Create an empty DescriptiveStats.

DescriptiveStats(List<Double>) - Constructor for class org.tribuo.evaluation.DescriptiveStats

Create a DescriptiveStats initialized with the supplied values.

differencesIndices(double[]) - Static method in class org.tribuo.util.Util

Returns an array containing the indices where values are different.

differencesIndices(double[], double) - Static method in class org.tribuo.util.Util

Returns an array containing the indices where values are different.

distributionEquals(Prediction<T>) - Method in class org.tribuo.Prediction

Checks that the other prediction has the same distribution as this prediction, using the Output.fullEquals(T) method.

div - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Divides by the specified constant.

div(double) - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that divides each value by the operand.

domainAndIDEquals(ImmutableOutputInfo<T>) - Method in interface org.tribuo.ImmutableOutputInfo

Checks if the domain is the same as the other output info's domain, and that each element is mapped to the same id number.

domainEquals(FeatureMap) - Method in class org.tribuo.FeatureMap

Check if this feature map contains the same features as the supplied one.

DOUBLE - Enum constant in enum org.tribuo.datasource.IDXDataSource.IDXType

A 64-bit float.

dropInvalidExamples - Variable in class org.tribuo.ImmutableDataset

If true, instead of throwing an exception when an invalid Example is encountered, this Dataset will log a warning and drop it.

E

EmptyDatasetProvenance - Class in org.tribuo.provenance.impl

An empty DatasetProvenance, should not be used except by the provenance removal system.

EmptyDatasetProvenance() - Constructor for class org.tribuo.provenance.impl.EmptyDatasetProvenance

An empty dataset provenance.

EmptyDatasetProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.impl.EmptyDatasetProvenance

Deserialization constructor.

EmptyDataSourceProvenance - Class in org.tribuo.provenance.impl

An empty DataSourceProvenance, should not be used except by the provenance removal system.

EmptyDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.impl.EmptyDataSourceProvenance

Deserialization constructor.

EmptyTrainerProvenance - Class in org.tribuo.provenance.impl

An empty TrainerProvenance, should not be used except by the provenance removal system.

EmptyTrainerProvenance() - Constructor for class org.tribuo.provenance.impl.EmptyTrainerProvenance

Constructs an empty trainer provenance.

EmptyTrainerProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.impl.EmptyTrainerProvenance

Deserialization constructor.

EnsembleCombiner<T extends Output<T>> - Interface in org.tribuo.ensemble

An interface for combining predictions.

EnsembleExcuse<T extends Output<T>> - Class in org.tribuo.ensemble

An Excuse which has a List of excuses for each of the ensemble members.

EnsembleExcuse(Example<T>, Prediction<T>, Map<String, List<Pair<String, Double>>>, List<Excuse<T>>) - Constructor for class org.tribuo.ensemble.EnsembleExcuse

Constructs an ensemble excuse, comprising the excuses from each ensemble member, along with the feature weights.

EnsembleModel<T extends Output<T>> - Class in org.tribuo.ensemble

A model which contains a list of other Models.

EnsembleModel(String, EnsembleModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, List<Model<T>>) - Constructor for class org.tribuo.ensemble.EnsembleModel

Builds an EnsembleModel from the supplied model list.

EnsembleModelProvenance - Class in org.tribuo.provenance

Model provenance for ensemble models.

EnsembleModelProvenance(String, OffsetDateTime, DatasetProvenance, TrainerProvenance, ListProvenance<? extends ModelProvenance>) - Constructor for class org.tribuo.provenance.EnsembleModelProvenance

Creates a provenance for an ensemble model tracking the class name, creation time, dataset provenance and trainer provenance along with the individual model provenances for each ensemble member.

EnsembleModelProvenance(String, OffsetDateTime, DatasetProvenance, TrainerProvenance, Map<String, Provenance>, boolean, ListProvenance<? extends ModelProvenance>) - Constructor for class org.tribuo.provenance.EnsembleModelProvenance

Creates a provenance for an ensemble model tracking the class name, creation time, dataset provenance, trainer provenance and any instance specific provenance along with the individual model provenances for each ensemble member.

EnsembleModelProvenance(String, OffsetDateTime, DatasetProvenance, TrainerProvenance, Map<String, Provenance>, ListProvenance<? extends ModelProvenance>) - Constructor for class org.tribuo.provenance.EnsembleModelProvenance

Creates a provenance for an ensemble model tracking the class name, creation time, dataset provenance, trainer provenance and any instance specific provenance along with the individual model provenances for each ensemble member.

EnsembleModelProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.EnsembleModelProvenance

Used by the provenance unmarshalling system.

ensembleName() - Method in class org.tribuo.ensemble.BaggingTrainer

Default name of the generated ensemble.

entrySet() - Method in class org.tribuo.transform.TransformerMap

Get the feature names and associated list of transformers.

EPSILON - Static variable in class org.tribuo.transform.transformations.SimpleTransform

Epsilon for determining when two double values are the same.

EQUAL_FREQUENCY - Enum constant in enum org.tribuo.transform.transformations.BinningTransformation.BinningType

Creates bins of equal frequency (i.e., equal numbers of data points).

EQUAL_WIDTH - Enum constant in enum org.tribuo.transform.transformations.BinningTransformation.BinningType

Creates bins of equal width over the data range.

equalFrequency(int) - Static method in class org.tribuo.transform.transformations.BinningTransformation

Returns a BinningTransformation which generates bins which contain the same amount of training data that is, each bin has an equal probability of occurrence in the training data.

equals(Object) - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

equals(Object) - Method in class org.tribuo.dataset.MinimumCardinalityDataset.MinimumCardinalityDatasetProvenance

equals(Object) - Method in class org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance

equals(Object) - Method in class org.tribuo.datasource.LibSVMDataSource.LibSVMDataSourceProvenance

equals(Object) - Method in class org.tribuo.evaluation.DescriptiveStats

equals(Object) - Method in class org.tribuo.evaluation.metrics.MetricTarget

equals(Object) - Method in class org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance

equals(Object) - Method in class org.tribuo.Feature

equals(Object) - Method in class org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance

equals(Object) - Method in class org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance

equals(Object) - Method in class org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance

equals(Object) - Method in class org.tribuo.impl.ArrayExample

equals(Object) - Method in class org.tribuo.impl.BinaryFeaturesExample

equals(Object) - Method in class org.tribuo.impl.IndexedArrayExample

equals(Object) - Method in class org.tribuo.impl.ListExample

equals(Object) - Method in class org.tribuo.provenance.DatasetProvenance

equals(Object) - Method in class org.tribuo.provenance.EnsembleModelProvenance

equals(Object) - Method in class org.tribuo.provenance.EvaluationProvenance

equals(Object) - Method in class org.tribuo.provenance.impl.EmptyDataSourceProvenance

equals(Object) - Method in class org.tribuo.provenance.impl.EmptyTrainerProvenance

equals(Object) - Method in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

equals(Object) - Method in class org.tribuo.provenance.ModelProvenance

equals(Object) - Method in class org.tribuo.provenance.SimpleDataSourceProvenance

equals(Object) - Method in class org.tribuo.provenance.SkeletalTrainerProvenance

equals(Object) - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset.MinimumCardinalitySequenceDatasetProvenance

equals(Object) - Method in class org.tribuo.SkeletalVariableInfo

equals(Object) - Method in class org.tribuo.transform.TransformationMap.TransformationList

equals(Object) - Method in class org.tribuo.transform.transformations.BinningTransformation.BinningTransformationProvenance

equals(Object) - Method in class org.tribuo.transform.transformations.LinearScalingTransformation.LinearScalingTransformationProvenance

equals(Object) - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation.MeanStdDevTransformationProvenance

equals(Object) - Method in class org.tribuo.transform.transformations.SimpleTransform.SimpleTransformProvenance

equals(Object) - Method in class org.tribuo.transform.TransformerMap.TransformerMapProvenance

equals(Object) - Method in class org.tribuo.util.IntDoublePair

equals(Object) - Method in class org.tribuo.util.MeanVarianceAccumulator

equalWidth(int) - Static method in class org.tribuo.transform.transformations.BinningTransformation

Returns a BinningTransformation which generates fixed equal width bins between the observed min and max values.

evaluate() - Method in class org.tribuo.evaluation.CrossValidation

Performs k fold cross validation, returning the k evaluations.

evaluate() - Method in class org.tribuo.evaluation.OnlineEvaluator

Creates an Evaluation containing all the current predictions.

evaluate(Model<T>, List<Prediction<T>>, List<T>, DataProvenance) - Method in interface org.tribuo.evaluation.Evaluator

Evaluates the model performance using the supplied predictions, returning an immutable Evaluation of the appropriate type.

evaluate(Model<T>, List<Prediction<T>>, DataProvenance) - Method in class org.tribuo.evaluation.AbstractEvaluator

Produces an evaluation for the supplied model and predictions by aggregating the appropriate statistics.

evaluate(Model<T>, List<Prediction<T>>, DataProvenance) - Method in interface org.tribuo.evaluation.Evaluator

Evaluates the model performance using the supplied predictions, returning an immutable Evaluation of the appropriate type.

evaluate(Model<T>, Dataset<T>) - Method in class org.tribuo.evaluation.AbstractEvaluator

Produces an evaluation for the supplied model and dataset, by calling Model.predict(org.tribuo.Example<T>) to create the predictions, then aggregating the appropriate statistics.

evaluate(Model<T>, Dataset<T>) - Method in interface org.tribuo.evaluation.Evaluator

Evaluates the dataset using the supplied model, returning an immutable Evaluation of the appropriate type.

evaluate(Model<T>, DataSource<T>) - Method in class org.tribuo.evaluation.AbstractEvaluator

Produces an evaluation for the supplied model and datasource, by calling Model.predict(org.tribuo.Example<T>) to create the predictions, then aggregating the appropriate statistics.

evaluate(Model<T>, DataSource<T>) - Method in interface org.tribuo.evaluation.Evaluator

Evaluates the dataset using the supplied model, returning an immutable Evaluation of the appropriate type.

evaluate(SequenceModel<T>, List<List<Prediction<T>>>, DataProvenance) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Produces an evaluation for the supplied model and predictions by aggregating the appropriate statistics.

evaluate(SequenceModel<T>, List<List<Prediction<T>>>, DataProvenance) - Method in interface org.tribuo.sequence.SequenceEvaluator

Evaluates the supplied model and predictions by aggregating the appropriate statistics.

evaluate(SequenceModel<T>, SequenceDataset<T>) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Produces an evaluation for the supplied model and dataset, by calling SequenceModel.predict(org.tribuo.sequence.SequenceExample<T>) to create the predictions, then aggregating the appropriate statistics.

evaluate(SequenceModel<T>, SequenceDataset<T>) - Method in interface org.tribuo.sequence.SequenceEvaluator

Evaluates the dataset using the supplied model, returning an immutable evaluation.

evaluate(SequenceModel<T>, SequenceDataSource<T>) - Method in class org.tribuo.sequence.AbstractSequenceEvaluator

Produces an evaluation for the supplied model and datasource, by calling SequenceModel.predict(org.tribuo.sequence.SequenceExample<T>) to create the predictions, then aggregating the appropriate statistics.

evaluate(SequenceModel<T>, SequenceDataSource<T>) - Method in interface org.tribuo.sequence.SequenceEvaluator

Evaluates the datasource using the supplied model, returning an immutable evaluation.

Evaluation<T extends Output<T>> - Interface in org.tribuo.evaluation

An immutable evaluation of a specific model and dataset.

EvaluationAggregator - Class in org.tribuo.evaluation

Aggregates metrics from a list of evaluations, or a list of models and datasets.

EvaluationMetric<T extends Output<T>,C extends MetricContext<T>> - Interface in org.tribuo.evaluation.metrics

A metric that can be calculated for the specified output type.

EvaluationMetric.Average - Enum in org.tribuo.evaluation.metrics

Specifies what form of average to use for a EvaluationMetric.

EvaluationProvenance - Class in org.tribuo.provenance

Provenance for evaluations.

EvaluationProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.EvaluationProvenance

Deserialization constructor.

EvaluationProvenance(ModelProvenance, DataProvenance) - Constructor for class org.tribuo.provenance.EvaluationProvenance

Constructs an evaluation provenance from the supplied provenances.

EvaluationRenderer<T extends Output<T>,E extends Evaluation<T>> - Interface in org.tribuo.evaluation

Renders an Evaluation into a String.

Evaluator<T extends Output<T>,E extends Evaluation<T>> - Interface in org.tribuo.evaluation

An evaluation factory which produces immutable Evaluations of a given Dataset using the given Model.

Example<T extends Output<T>> - Class in org.tribuo

An example used for training and evaluation.

Example(Example<T>) - Constructor for class org.tribuo.Example

Copies the output, weight and metadata into this example.

Example(T) - Constructor for class org.tribuo.Example

Construct an empty example using the supplied output and Example.DEFAULT_WEIGHT as the weight.

Example(T, float) - Constructor for class org.tribuo.Example

Construct an empty example using the supplied output and weight.

Example(T, float, Map<String, Object>) - Constructor for class org.tribuo.Example

Construct an empty example using the supplied output, weight and metadata.

Example(T, Map<String, Object>) - Constructor for class org.tribuo.Example

Construct an empty example using the supplied output, metadata and Example.DEFAULT_WEIGHT as the weight.

excuse(String) - Method in class org.tribuo.Excuse

Returns the features involved in this excuse.

Excuse<T extends Output<T>> - Class in org.tribuo

Holds an Example, a Prediction and a Map from String to List of Pairs that contains the per output explanation.

Excuse(Example<T>, Prediction<T>, Map<String, List<Pair<String, Double>>>) - Constructor for class org.tribuo.Excuse

Constructs an excuse for the prediction of the supplied example, using the feature weights.

exp - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Exponentiates the inputs

exp() - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that applies Math.exp(double).

exportCombiner(ONNXNode) - Method in interface org.tribuo.ensemble.EnsembleCombiner

Exports this ensemble combiner into the ONNX context of its input.

exportCombiner(ONNXNode, U) - Method in interface org.tribuo.ensemble.EnsembleCombiner

Exports this ensemble combiner into the ONNX context of its input.

exportONNXModel(String, long) - Method in class org.tribuo.ensemble.WeightedEnsembleModel

Exports this EnsembleModel as an ONNX model.

exportONNXModel(String, long) - Method in interface org.tribuo.ONNXExportable

Exports this Model as an ONNX protobuf.

extractProvenanceInfo(Map<String, Provenance>) - Static method in class org.tribuo.datasource.AggregateConfigurableDataSource.AggregateConfigurableDataSourceProvenance

Extracts the class name and host type fields from the provenance map.

extractProvenanceInfo(Map<String, Provenance>) - Static method in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

Separates out the configured and non-configured provenance values.

extractProvenanceInfo(Map<String, Provenance>) - Static method in class org.tribuo.datasource.LibSVMDataSource.LibSVMDataSourceProvenance

extractProvenanceInfo(Map<String, Provenance>) - Static method in class org.tribuo.provenance.SkeletalTrainerProvenance

F

Feature - Class in org.tribuo

A class for features.

Feature(String, double) - Constructor for class org.tribuo.Feature

Creates an immutable feature.

FEATURE_TYPE - Static variable in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

The name of the provenance field for the idx feature type.

featureIDMap - Variable in class org.tribuo.ImmutableDataset

A map from feature names to IDs for the features found in this dataset.

featureIDMap - Variable in class org.tribuo.Model

The features this model knows about.

featureIDMap - Variable in class org.tribuo.sequence.ImmutableSequenceDataset

A map from feature names to IDs for the features found in this dataset.

featureIDMap - Variable in class org.tribuo.sequence.SequenceModel

featureIDs - Variable in class org.tribuo.impl.IndexedArrayExample

Feature id numbers from the internal featureMap.

featureInfo(CommandInterpreter, String) - Method in class org.tribuo.ModelExplorer

Shows a specific feature's information.

featureInfo(CommandInterpreter, String) - Method in class org.tribuo.sequence.SequenceModelExplorer

Shows information on a particular feature.

featureIterator() - Method in class org.tribuo.sequence.SequenceExample

Creates an iterator over every feature in this sequence.

featureMap - Variable in class org.tribuo.MutableDataset

A map from feature names to feature info objects.

featureMap - Variable in class org.tribuo.sequence.MutableSequenceDataset

A map from feature names to IDs for the features found in this dataset.

FeatureMap - Class in org.tribuo

A map from Strings to VariableInfo objects storing information about a feature.

FeatureMap() - Constructor for class org.tribuo.FeatureMap

Constructs an empty feature map.

FeatureMap(Map<String, ? extends VariableInfo>) - Constructor for class org.tribuo.FeatureMap

Constructs a feature map wrapping the supplied map.

FeatureMap(FeatureMap) - Constructor for class org.tribuo.FeatureMap

Constructs a deep copy of the supplied feature map.

featureNameComparator() - Static method in class org.tribuo.Feature

A comparator using the lexicographic ordering of feature names.

featureNames - Variable in class org.tribuo.impl.ArrayExample

Feature names array.

featureNames - Variable in class org.tribuo.impl.BinaryFeaturesExample

Feature names array.

FEATURES_FILE_MODIFIED_TIME - Static variable in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

The name of the features file modified time provenance field.

FEATURES_RESOURCE_HASH - Static variable in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

The name of the provenance field for the feature file hash.

FeatureTuple() - Constructor for class org.tribuo.impl.IndexedArrayExample.FeatureTuple

Constructs an empty feature tuple.

FeatureTuple(String, int, double) - Constructor for class org.tribuo.impl.IndexedArrayExample.FeatureTuple

Constructs a feature tuple using the specified values.

featureValues - Variable in class org.tribuo.impl.ArrayExample

Feature values array.

FILE_MODIFIED_TIME - Static variable in interface org.tribuo.provenance.DataSourceProvenance

The name of the provenance field for the file timestamp.

fileCompleter() - Method in class org.tribuo.ModelExplorer

Completers for files.

fileCompleter() - Method in class org.tribuo.sequence.SequenceModelExplorer

Completers for files.

FLOAT - Enum constant in enum org.tribuo.datasource.IDXDataSource.IDXType

A 32-bit float.

fmix32(int) - Static method in class org.tribuo.util.MurmurHash3

32-bit mixing function.

fmix64(long) - Static method in class org.tribuo.util.MurmurHash3

64-bit mixing function.

formatDuration(long, long) - Static method in class org.tribuo.util.Util

Formats a duration given two times in milliseconds.

frequencyBasedSample(Random, long) - Method in class org.tribuo.CategoricalInfo

Samples a value from this feature according to the frequency of observation.

frequencyBasedSample(SplittableRandom, long) - Method in class org.tribuo.CategoricalInfo

Samples a value from this feature according to the frequency of observation.

fullEquals(T) - Method in interface org.tribuo.Output

Compares other to this output.

G

generateBootstrap() - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

Generates the indices from this DatasetViewProvenance by rerunning the bootstrap sample.

generateBootstrapIndices(int, Random) - Static method in class org.tribuo.util.Util

Draws a bootstrap sample of indices.

generateBootstrapIndices(int, SplittableRandom) - Static method in class org.tribuo.util.Util

Draws a bootstrap sample of indices.

generateCDF(double[]) - Static method in class org.tribuo.util.Util

Generates a cumulative distribution function from the supplied probability mass function.

generateCDF(float[]) - Static method in class org.tribuo.util.Util

Generates a cumulative distribution function from the supplied probability mass function.

generateCDF(long[], long) - Static method in class org.tribuo.util.Util

Generates a cumulative distribution function from the supplied probability mass function.

generateHashedFeatureMap(FeatureMap, Hasher) - Static method in class org.tribuo.hash.HashedFeatureMap

Converts a standard FeatureMap by hashing each entry using the supplied hash function Hasher.

generateIDs(List<? extends VariableInfo>) - Static method in class org.tribuo.ImmutableFeatureMap

Generates the feature ids by sorting the features with the String comparator, then sequentially numbering them.

generateIDs(FeatureMap) - Static method in class org.tribuo.ImmutableFeatureMap

Generates the feature ids by sorting the features with the String comparator, then sequentially numbering them.

generateImmutableOutputInfo() - Method in interface org.tribuo.OutputInfo

Generates an ImmutableOutputInfo which has a copy of the data in this OutputInfo, but also has id values and is immutable.

generateInfo() - Method in interface org.tribuo.OutputFactory

Generates the appropriate MutableOutputInfo so the output values can be tracked by a Dataset or other aggregate.

generateMutableOutputInfo() - Method in interface org.tribuo.OutputInfo

Generates a mutable copy of this OutputInfo.

generateOutput(V) - Method in interface org.tribuo.OutputFactory

Parses the V and generates the appropriate Output value.

generateOutputs(List<V>) - Method in interface org.tribuo.OutputFactory

Generate a list of outputs from the supplied list of inputs.

generateRealInfo() - Method in class org.tribuo.CategoricalIDInfo

Generates a RealIDInfo that matches this CategoricalInfo and also contains an id number.

generateRealInfo() - Method in class org.tribuo.CategoricalInfo

Generates a RealInfo using the currently observed counts to calculate the min, max, mean and variance.

generatesProbabilities - Variable in class org.tribuo.Model

Does this model generate probability distributions in the output.

generatesProbabilities() - Method in class org.tribuo.Model

Does this model generate probabilistic predictions.

generatesProbabilities(CommandInterpreter) - Method in class org.tribuo.ModelExplorer

Checks if the model generates probabilities.

generateTransformer() - Method in class org.tribuo.transform.transformations.SimpleTransform

Returns itself.

generateTransformer() - Method in interface org.tribuo.transform.TransformStatistics

Generates the appropriate Transformer from the collected statistics.

generateUniformFloatVector(int, float) - Static method in class org.tribuo.util.Util

Generates a float vector of the specified length filled with the specified value.

generateUniformVector(int, double) - Static method in class org.tribuo.util.Util

Generates an array of the specified length filled with the specified value.

generateUniformVector(int, float) - Static method in class org.tribuo.util.Util

Generates an array of the specified length filled with the specified value.

generateWeightedIndicesSample(int, double[], Random) - Static method in class org.tribuo.util.Util

Generates a sample of indices weighted by the provided weights.

generateWeightedIndicesSample(int, double[], SplittableRandom) - Static method in class org.tribuo.util.Util

Generates a sample of indices weighted by the provided weights.

generateWeightedIndicesSample(int, float[], Random) - Static method in class org.tribuo.util.Util

Generates a sample of indices weighted by the provided weights.

generateWeightedIndicesSample(int, float[], SplittableRandom) - Static method in class org.tribuo.util.Util

Generates a sample of indices weighted by the provided weights.

generateWeightedIndicesSampleWithoutReplacement(int, double[], Random) - Static method in class org.tribuo.util.Util

Generates a sample of indices weighted by the provided weights without replacement.

generateWeightedIndicesSampleWithoutReplacement(int, float[], Random) - Static method in class org.tribuo.util.Util

Generates a sample of indices weighted by the provided weights without replacement.

get(int) - Method in class org.tribuo.ImmutableFeatureMap

Gets the VariableIDInfo for this id number.

get(int) - Method in class org.tribuo.sequence.SequenceExample

Gets the example found at the specified index.

get(String) - Method in class org.tribuo.FeatureMap

Gets the variable info associated with that feature name, or null if it's unknown.

get(String) - Method in class org.tribuo.hash.HashedFeatureMap

get(String) - Method in class org.tribuo.ImmutableFeatureMap

Gets the VariableIDInfo for this name.

get(String) - Method in class org.tribuo.transform.TransformerMap

Gets the transformer associated with a given feature name.

get(MetricID<T>) - Method in interface org.tribuo.evaluation.Evaluation

Gets the value associated with the specific metric.

get(MetricID<T>) - Method in interface org.tribuo.sequence.SequenceEvaluation

Gets the value associated with the specific metric.

getActiveFeatures() - Method in class org.tribuo.SparseModel

Return an immutable view on the active features for each dimension.

getArch() - Method in class org.tribuo.provenance.ModelProvenance

The CPU architecture used to create this model.

getAverageTarget() - Method in class org.tribuo.evaluation.metrics.MetricTarget

Returns the average this metric computes, or Optional.empty() if it targets an output.

getClassName() - Method in class org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance

getClassName() - Method in class org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance

getClassName() - Method in class org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance

getClassName() - Method in class org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance

getClassName() - Method in class org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance

getClassName() - Method in class org.tribuo.provenance.DatasetProvenance

getClassName() - Method in class org.tribuo.provenance.EvaluationProvenance

getClassName() - Method in class org.tribuo.provenance.impl.EmptyDataSourceProvenance

getClassName() - Method in class org.tribuo.provenance.impl.EmptyTrainerProvenance

getClassName() - Method in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

getClassName() - Method in class org.tribuo.provenance.ModelProvenance

getClassName() - Method in class org.tribuo.provenance.SimpleDataSourceProvenance

getClassName() - Method in class org.tribuo.transform.transformations.BinningTransformation.BinningTransformationProvenance

getClassName() - Method in class org.tribuo.transform.transformations.IDFTransformation.IDFTransformationProvenance

getClassName() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation.LinearScalingTransformationProvenance

getClassName() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation.MeanStdDevTransformationProvenance

getClassName() - Method in class org.tribuo.transform.transformations.SimpleTransform.SimpleTransformProvenance

getClassName() - Method in class org.tribuo.transform.TransformerMap.TransformerMapProvenance

getConfiguredParameters() - Method in class org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance

getConfiguredParameters() - Method in class org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance

getConfiguredParameters() - Method in class org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance

getConfiguredParameters() - Method in class org.tribuo.provenance.impl.EmptyTrainerProvenance

getConfiguredParameters() - Method in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

getConfiguredParameters() - Method in interface org.tribuo.provenance.OutputFactoryProvenance

getConfiguredParameters() - Method in class org.tribuo.transform.transformations.BinningTransformation.BinningTransformationProvenance

getConfiguredParameters() - Method in class org.tribuo.transform.transformations.IDFTransformation.IDFTransformationProvenance

getConfiguredParameters() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation.LinearScalingTransformationProvenance

getConfiguredParameters() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation.MeanStdDevTransformationProvenance

getConfiguredParameters() - Method in class org.tribuo.transform.transformations.SimpleTransform.SimpleTransformProvenance

getCount() - Method in class org.tribuo.SkeletalVariableInfo

Returns the occurrence count of this feature.

getCount() - Method in class org.tribuo.util.MeanVarianceAccumulator

Gets the observation count.

getCount() - Method in interface org.tribuo.VariableInfo

The occurrence count of this feature.

getData() - Method in class org.tribuo.dataset.DatasetView

getData() - Method in class org.tribuo.Dataset

Gets the examples as an unmodifiable list.

getData() - Method in class org.tribuo.sequence.SequenceDataset

Returns an unmodifiable view on the data.

getDatasetProvenance() - Method in class org.tribuo.provenance.ModelProvenance

The training dataset provenance.

getDataType() - Method in class org.tribuo.datasource.IDXDataSource

The type of the features that were loaded in.

getDensify() - Method in class org.tribuo.transform.TransformedModel

Returns true if the model densifies the feature space before applying the transformations.

getDescription() - Method in class org.tribuo.ModelExplorer

getDescription() - Method in class org.tribuo.sequence.SequenceModelExplorer

getDigestSupplier(String) - Static method in class org.tribuo.hash.MessageDigestHasher

Creates a supplier for the specified hash type.

getDomain() - Method in interface org.tribuo.OutputInfo

Returns a set of Output which represent the space of possible values the Output has taken.

getDropInvalidExamples() - Method in class org.tribuo.ImmutableDataset

Returns true if this immutable dataset dropped any invalid examples on construction.

getEvaluator() - Method in interface org.tribuo.OutputFactory

Gets an Evaluator suitable for measuring performance of predictions for the Output subclass.

getExample() - Method in class org.tribuo.Excuse

The example being excused.

getExample() - Method in class org.tribuo.Prediction

Returns the example itself.

getExample(int) - Method in class org.tribuo.dataset.DatasetView

getExample(int) - Method in class org.tribuo.Dataset

Gets the example at the supplied index.

getExample(int) - Method in class org.tribuo.sequence.SequenceDataset

Gets the example at the specified index, or throws IllegalArgumentException if the index is out of bounds.

getExampleIndices() - Method in class org.tribuo.dataset.DatasetView

Returns a copy of the indicies used in this view.

getExampleSize() - Method in class org.tribuo.Prediction

Returns the number of features in the example.

getExcuse(Example<T>) - Method in class org.tribuo.ensemble.EnsembleModel

getExcuse(Example<T>) - Method in class org.tribuo.ensemble.WeightedEnsembleModel

getExcuse(Example<T>) - Method in class org.tribuo.Model

Generates an excuse for an example.

getExcuse(Example<T>) - Method in class org.tribuo.transform.TransformedModel

getExcuses(Iterable<Example<T>>) - Method in class org.tribuo.Model

Generates an excuse for each example.

getFeatureIDMap() - Method in class org.tribuo.Dataset

Returns or generates an ImmutableFeatureMap.

getFeatureIDMap() - Method in class org.tribuo.ImmutableDataset

getFeatureIDMap() - Method in class org.tribuo.Model

Gets the feature domain.

getFeatureIDMap() - Method in class org.tribuo.MutableDataset

getFeatureIDMap() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

getFeatureIDMap() - Method in class org.tribuo.sequence.MutableSequenceDataset

getFeatureIDMap() - Method in class org.tribuo.sequence.SequenceDataset

An immutable view on the feature map.

getFeatureIDMap() - Method in class org.tribuo.sequence.SequenceModel

Gets the feature domain.

getFeatureMap() - Method in class org.tribuo.dataset.DatasetView

getFeatureMap() - Method in class org.tribuo.Dataset

Returns this dataset's FeatureMap.

getFeatureMap() - Method in class org.tribuo.ImmutableDataset

getFeatureMap() - Method in class org.tribuo.MutableDataset

getFeatureMap() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

getFeatureMap() - Method in class org.tribuo.sequence.MutableSequenceDataset

getFeatureMap() - Method in class org.tribuo.sequence.SequenceDataset

The feature map.

getFeatureTransformations() - Method in class org.tribuo.transform.TransformationMap

Gets the map of feature specific transformations.

getFlatDataset() - Method in class org.tribuo.sequence.SequenceDataset

Returns a view on this SequenceDataset which aggregates all the examples and ignores the sequence structure.

getGlobalTransformations() - Method in class org.tribuo.transform.TransformationMap

Gets the global transformations in this TransformationMap.

getHashedTrainer(Trainer<T>) - Method in class org.tribuo.hash.HashingOptions

Gets the trainer wrapped in a hashing trainer.

getHasher() - Method in class org.tribuo.hash.HashingOptions

Get the specified hasher.

getID() - Method in class org.tribuo.CategoricalIDInfo

getID() - Method in interface org.tribuo.evaluation.metrics.EvaluationMetric

The metric ID, a combination of the metric target and metric name.

getID() - Method in class org.tribuo.RealIDInfo

getID() - Method in interface org.tribuo.VariableIDInfo

The id number associated with this variable.

getID(String) - Method in class org.tribuo.hash.HashedFeatureMap

Gets the id number for this feature, returns -1 if it's unknown.

getID(String) - Method in class org.tribuo.ImmutableFeatureMap

Gets the id number for this feature, returns -1 if it's unknown.

getID(T) - Method in interface org.tribuo.ImmutableOutputInfo

Return the id number associated with this output, or -1 if the output is unknown.

getIdx(int) - Method in class org.tribuo.impl.IndexedArrayExample

Gets the feature at internal index i.

getInnerExcuses() - Method in class org.tribuo.ensemble.EnsembleExcuse

The individual ensemble member's excuses.

getInnerModel() - Method in class org.tribuo.transform.TransformedModel

Gets the inner model to allow access to any class specific methods that model contains (e.g., to examine cluster centroids).

getInstanceProvenance() - Method in class org.tribuo.provenance.ModelProvenance

Provenance for the specific training run which created this model.

getInstanceValues() - Method in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

getInstanceValues() - Method in class org.tribuo.datasource.LibSVMDataSource.LibSVMDataSourceProvenance

getInstanceValues() - Method in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

getInstanceValues() - Method in class org.tribuo.provenance.SkeletalTrainerProvenance

getInvocationCount() - Method in class org.tribuo.ensemble.BaggingTrainer

getInvocationCount() - Method in class org.tribuo.hash.HashingTrainer

getInvocationCount() - Method in class org.tribuo.sequence.HashingSequenceTrainer

getInvocationCount() - Method in class org.tribuo.sequence.IndependentSequenceTrainer

getInvocationCount() - Method in interface org.tribuo.sequence.SequenceTrainer

Returns the number of times the train method has been invoked.

getInvocationCount() - Method in interface org.tribuo.Trainer

The number of times this trainer instance has had it's train method invoked.

getInvocationCount() - Method in class org.tribuo.transform.TransformTrainer

getJavaVersion() - Method in class org.tribuo.provenance.ModelProvenance

The Java version used to create this model.

getK() - Method in class org.tribuo.evaluation.CrossValidation

Returns the number of folds.

getLongLittleEndian(byte[], int) - Static method in class org.tribuo.util.MurmurHash3

Gets a long from a byte buffer in little endian byte order.

getMax() - Method in class org.tribuo.evaluation.DescriptiveStats

Calculates the max of the values.

getMax() - Method in class org.tribuo.RealInfo

Gets the maximum observed value.

getMax() - Method in class org.tribuo.util.MeanVarianceAccumulator

Gets the maximum observed value.

getMaxFeatureID() - Method in class org.tribuo.datasource.LibSVMDataSource

Gets the maximum feature ID found.

getMean() - Method in class org.tribuo.evaluation.DescriptiveStats

Calculates the mean of the values.

getMean() - Method in class org.tribuo.RealInfo

Gets the sample mean.

getMean() - Method in class org.tribuo.util.MeanVarianceAccumulator

Gets the sample mean.

getMemberProvenance() - Method in class org.tribuo.provenance.EnsembleModelProvenance

Get the provenances for each ensemble member.

getMetadata() - Method in class org.tribuo.Example

Returns a copy of this example's metadata.

getMetadataValue(String) - Method in class org.tribuo.Example

Gets the associated metadata value for this key, if it exists.

getMin() - Method in class org.tribuo.evaluation.DescriptiveStats

Calculates the min of the values.

getMin() - Method in class org.tribuo.RealInfo

Gets the minimum observed value.

getMin() - Method in class org.tribuo.util.MeanVarianceAccumulator

Gets the minimum observed value.

getMinCardinality() - Method in class org.tribuo.dataset.MinimumCardinalityDataset

The minimum cardinality threshold for the features.

getMinCardinality() - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset

The minimum cardinality threshold for the features.

getModel() - Method in class org.tribuo.evaluation.metrics.MetricContext

Gets the Model used by this context.

getModelProvenance() - Method in class org.tribuo.provenance.EvaluationProvenance

The model provenance.

getModels() - Method in class org.tribuo.ensemble.EnsembleModel

Returns an unmodifiable view on the ensemble members.

getN() - Method in class org.tribuo.evaluation.DescriptiveStats

Returns the number of values.

getName() - Method in interface org.tribuo.evaluation.metrics.EvaluationMetric

The name of this metric.

getName() - Method in class org.tribuo.Feature

Returns the feature name.

getName() - Method in class org.tribuo.Model

Returns the model name.

getName() - Method in class org.tribuo.ModelExplorer

getName() - Method in class org.tribuo.sequence.SequenceModel

Gets the model name.

getName() - Method in class org.tribuo.sequence.SequenceModelExplorer

getName() - Method in class org.tribuo.SkeletalVariableInfo

Returns the name of the feature.

getName() - Method in interface org.tribuo.VariableInfo

The name of this feature.

getNumActiveFeatures() - Method in class org.tribuo.Prediction

Returns the number of features used in the prediction.

getNumExamples() - Method in class org.tribuo.provenance.DatasetProvenance

The number of examples.

getNumExamplesRemoved() - Method in class org.tribuo.dataset.MinimumCardinalityDataset

The number of examples removed due to a lack of features.

getNumExamplesRemoved() - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset

The number of examples removed due to a lack of features.

getNumFeatures() - Method in class org.tribuo.provenance.DatasetProvenance

The number of features.

getNumModels() - Method in class org.tribuo.ensemble.EnsembleModel

The number of ensemble members.

getNumOutputs() - Method in class org.tribuo.provenance.DatasetProvenance

The number of output dimensions.

getObservationCount(double) - Method in class org.tribuo.CategoricalInfo

Gets the number of times a specific value was observed, and zero if this value is unknown.

getOS() - Method in class org.tribuo.provenance.ModelProvenance

The name of the OS used to create this model.

getOutput() - Method in class org.tribuo.Example

Gets the example's Output.

getOutput() - Method in class org.tribuo.Prediction

Returns the predicted output.

getOutput(int) - Method in interface org.tribuo.ImmutableOutputInfo

Returns the output associated with this id, or null if the id is unknown.

getOutputFactory() - Method in class org.tribuo.Dataset

Gets the output factory this dataset contains.

getOutputFactory() - Method in class org.tribuo.datasource.AggregateConfigurableDataSource

getOutputFactory() - Method in class org.tribuo.datasource.AggregateDataSource

getOutputFactory() - Method in interface org.tribuo.DataSource

Returns the OutputFactory associated with this Output subclass.

getOutputFactory() - Method in class org.tribuo.datasource.IDXDataSource

getOutputFactory() - Method in class org.tribuo.datasource.LibSVMDataSource

getOutputFactory() - Method in class org.tribuo.datasource.ListDataSource

getOutputFactory() - Method in class org.tribuo.sequence.SequenceDataset

Gets the output factory.

getOutputFactory() - Method in interface org.tribuo.sequence.SequenceDataSource

Gets the OutputFactory which was used to generate the Outputs in this SequenceDataSource.

getOutputID() - Method in class org.tribuo.impl.IndexedArrayExample

Gets the output id dimension number.

getOutputIDInfo() - Method in class org.tribuo.Dataset

Returns or generates an ImmutableOutputInfo.

getOutputIDInfo() - Method in class org.tribuo.ImmutableDataset

getOutputIDInfo() - Method in class org.tribuo.Model

Gets the output domain.

getOutputIDInfo() - Method in class org.tribuo.MutableDataset

getOutputIDInfo() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

getOutputIDInfo() - Method in class org.tribuo.sequence.MutableSequenceDataset

getOutputIDInfo() - Method in class org.tribuo.sequence.SequenceDataset

An immutable view on the output info in this dataset.

getOutputIDInfo() - Method in class org.tribuo.sequence.SequenceModel

Gets the output domain.

getOutputInfo() - Method in class org.tribuo.dataset.DatasetView

getOutputInfo() - Method in class org.tribuo.Dataset

Returns this dataset's OutputInfo.

getOutputInfo() - Method in class org.tribuo.ImmutableDataset

getOutputInfo() - Method in class org.tribuo.MutableDataset

getOutputInfo() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

getOutputInfo() - Method in class org.tribuo.sequence.MutableSequenceDataset

getOutputInfo() - Method in class org.tribuo.sequence.SequenceDataset

The output info in this dataset.

getOutputs() - Method in class org.tribuo.dataset.DatasetView

Gets the set of outputs that occur in the examples in this dataset.

getOutputs() - Method in class org.tribuo.Dataset

Gets the set of outputs that occur in the examples in this dataset.

getOutputs() - Method in class org.tribuo.ImmutableDataset

getOutputs() - Method in class org.tribuo.MutableDataset

Gets the set of possible outputs in this dataset.

getOutputs() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

getOutputs() - Method in class org.tribuo.sequence.MutableSequenceDataset

getOutputs() - Method in class org.tribuo.sequence.SequenceDataset

Gets the set of labels that occur in the examples in this dataset.

getOutputScores() - Method in class org.tribuo.Prediction

Gets the output scores for each output.

getOutputTarget() - Method in class org.tribuo.evaluation.metrics.MetricTarget

Returns the Output this metric targets, or Optional.empty() if it's an average.

getPrediction() - Method in class org.tribuo.Excuse

Returns the prediction being excused.

getPredictions() - Method in interface org.tribuo.evaluation.Evaluation

Gets the predictions stored in this evaluation.

getPredictions() - Method in class org.tribuo.evaluation.metrics.MetricContext

Gets the predictions used by this context.

getProvenance() - Method in class org.tribuo.dataset.DatasetView

getProvenance() - Method in class org.tribuo.dataset.MinimumCardinalityDataset

getProvenance() - Method in class org.tribuo.datasource.AggregateConfigurableDataSource

getProvenance() - Method in class org.tribuo.datasource.AggregateDataSource

getProvenance() - Method in class org.tribuo.datasource.IDXDataSource

getProvenance() - Method in class org.tribuo.datasource.LibSVMDataSource

getProvenance() - Method in class org.tribuo.datasource.ListDataSource

getProvenance() - Method in class org.tribuo.ensemble.BaggingTrainer

getProvenance() - Method in class org.tribuo.ensemble.EnsembleModel

getProvenance() - Method in class org.tribuo.hash.HashCodeHasher

getProvenance() - Method in class org.tribuo.hash.HashingTrainer

getProvenance() - Method in class org.tribuo.hash.MessageDigestHasher

getProvenance() - Method in class org.tribuo.hash.ModHashCodeHasher

getProvenance() - Method in class org.tribuo.ImmutableDataset

getProvenance() - Method in class org.tribuo.Model

getProvenance() - Method in class org.tribuo.MutableDataset

getProvenance() - Method in class org.tribuo.sequence.HashingSequenceTrainer

getProvenance() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

getProvenance() - Method in class org.tribuo.sequence.IndependentSequenceTrainer

getProvenance() - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset

getProvenance() - Method in class org.tribuo.sequence.MutableSequenceDataset

getProvenance() - Method in class org.tribuo.sequence.SequenceModel

getProvenance() - Method in class org.tribuo.transform.TransformationMap

getProvenance() - Method in class org.tribuo.transform.TransformationMap.TransformationList

getProvenance() - Method in class org.tribuo.transform.transformations.BinningTransformation

getProvenance() - Method in class org.tribuo.transform.transformations.IDFTransformation

getProvenance() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation

getProvenance() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation

getProvenance() - Method in class org.tribuo.transform.transformations.SimpleTransform

getProvenance() - Method in class org.tribuo.transform.TransformerMap

getProvenance() - Method in class org.tribuo.transform.TransformTrainer

getRemoved() - Method in class org.tribuo.dataset.MinimumCardinalityDataset

The feature names that were removed.

getRemoved() - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset

The feature names that were removed.

getScores() - Method in class org.tribuo.Excuse

Returns the scores for all outputs and the relevant feature values.

getSequenceModel() - Method in class org.tribuo.evaluation.metrics.MetricContext

Gets the SequenceModel used by this context.

getSerializableForm(boolean) - Method in interface org.tribuo.Output

Generates a String suitable for writing to a csv or json file.

getSourceDescription() - Method in class org.tribuo.Dataset

A String description of this dataset.

getSourceDescription() - Method in class org.tribuo.sequence.SequenceDataset

Returns the description of the source provenance.

getSourceProvenance() - Method in class org.tribuo.Dataset

The provenance of the data this Dataset contains.

getSourceProvenance() - Method in class org.tribuo.provenance.DatasetProvenance

The input data provenance.

getSourceProvenance() - Method in class org.tribuo.sequence.SequenceDataset

Returns the source provenance.

getStandardDeviation() - Method in class org.tribuo.evaluation.DescriptiveStats

Calculates the standard deviation of the values.

getStdDev() - Method in class org.tribuo.util.MeanVarianceAccumulator

Gets the sample standard deviation.

getTarget() - Method in interface org.tribuo.evaluation.metrics.EvaluationMetric

The target for this metric instance.

getTest() - Method in class org.tribuo.evaluation.TrainTestSplitter

Gets the testing datasource.

getTestDatasetProvenance() - Method in class org.tribuo.provenance.EvaluationProvenance

The test dataset provenance.

getTopFeatures(int) - Method in class org.tribuo.ensemble.EnsembleModel

getTopFeatures(int) - Method in class org.tribuo.Model

Gets the top n features associated with this model.

getTopFeatures(int) - Method in class org.tribuo.sequence.IndependentSequenceModel

getTopFeatures(int) - Method in class org.tribuo.sequence.SequenceModel

Gets the top n features associated with this model.

getTopFeatures(int) - Method in class org.tribuo.transform.TransformedModel

getTotalObservations() - Method in interface org.tribuo.ImmutableOutputInfo

Returns the total number of observed outputs seen by this ImmutableOutputInfo.

getTrain() - Method in class org.tribuo.evaluation.TrainTestSplitter

Gets the training data source.

getTrainerProvenance() - Method in class org.tribuo.provenance.ModelProvenance

The trainer provenance.

getTrainingTime() - Method in class org.tribuo.provenance.ModelProvenance

The training timestamp.

getTransformationProvenance() - Method in class org.tribuo.provenance.DatasetProvenance

The transformation provenances, in application order.

getTransformerMap() - Method in class org.tribuo.transform.TransformedModel

Gets the transformers that this model applies to each example.

getTribuoVersion() - Method in class org.tribuo.provenance.DatasetProvenance

The Tribuo version used to create this dataset.

getTribuoVersion() - Method in class org.tribuo.provenance.EvaluationProvenance

The Tribuo version used to create this dataset.

getTribuoVersion() - Method in class org.tribuo.provenance.ModelProvenance

The Tribuo version used to create this dataset.

getTribuoVersion() - Method in class org.tribuo.provenance.SkeletalTrainerProvenance

The Tribuo version.

getUniqueObservations() - Method in class org.tribuo.CategoricalInfo

Gets the number of unique values this CategoricalInfo has observed.

getUnknownCount() - Method in interface org.tribuo.OutputInfo

Returns the number of unknown Output instances (generated by OutputFactory.getUnknownOutput()) that this OutputInfo has seen.

getUnknownOutput() - Method in interface org.tribuo.OutputFactory

Returns the singleton unknown output of type T which can be used for prediction time examples.

getValue() - Method in class org.tribuo.Feature

Returns the feature value.

getVariance() - Method in class org.tribuo.evaluation.DescriptiveStats

Calculates the sample variance of the values.

getVariance() - Method in class org.tribuo.RealInfo

Gets the sample variance.

getVariance() - Method in class org.tribuo.util.MeanVarianceAccumulator

Gets the sample variance.

getWeight() - Method in class org.tribuo.Example

Gets the example's weight.

getWeight() - Method in class org.tribuo.sequence.SequenceExample

Gets the weight of this sequence.

growArray() - Method in class org.tribuo.impl.ArrayExample

Grows the backing arrays by size+1.

growArray() - Method in class org.tribuo.impl.BinaryFeaturesExample

Grows the backing arrays by size+1.

growArray(int) - Method in class org.tribuo.impl.ArrayExample

Grows the backing arrays storing the names and values.

growArray(int) - Method in class org.tribuo.impl.BinaryFeaturesExample

Grows the backing arrays storing the names.

growArray(int) - Method in class org.tribuo.impl.IndexedArrayExample

H

hash(String) - Method in class org.tribuo.hash.HashCodeHasher

hash(String) - Method in class org.tribuo.hash.Hasher

Hashes the supplied input using the hashing function.

hash(String) - Method in class org.tribuo.hash.MessageDigestHasher

hash(String) - Method in class org.tribuo.hash.ModHashCodeHasher

hashCode() - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

hashCode() - Method in class org.tribuo.dataset.MinimumCardinalityDataset.MinimumCardinalityDatasetProvenance

hashCode() - Method in class org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance

hashCode() - Method in class org.tribuo.datasource.LibSVMDataSource.LibSVMDataSourceProvenance

hashCode() - Method in class org.tribuo.evaluation.DescriptiveStats

hashCode() - Method in class org.tribuo.evaluation.metrics.MetricTarget

hashCode() - Method in class org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance

hashCode() - Method in class org.tribuo.Feature

hashCode() - Method in class org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance

hashCode() - Method in class org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance

hashCode() - Method in class org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance

hashCode() - Method in class org.tribuo.impl.ArrayExample

hashCode() - Method in class org.tribuo.impl.BinaryFeaturesExample

hashCode() - Method in class org.tribuo.impl.IndexedArrayExample

hashCode() - Method in class org.tribuo.impl.ListExample

hashCode() - Method in class org.tribuo.provenance.DatasetProvenance

hashCode() - Method in class org.tribuo.provenance.EnsembleModelProvenance

hashCode() - Method in class org.tribuo.provenance.EvaluationProvenance

hashCode() - Method in class org.tribuo.provenance.impl.EmptyDataSourceProvenance

hashCode() - Method in class org.tribuo.provenance.impl.EmptyTrainerProvenance

hashCode() - Method in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

hashCode() - Method in class org.tribuo.provenance.ModelProvenance

hashCode() - Method in class org.tribuo.provenance.SimpleDataSourceProvenance

hashCode() - Method in class org.tribuo.provenance.SkeletalTrainerProvenance

hashCode() - Method in class org.tribuo.sequence.MinimumCardinalitySequenceDataset.MinimumCardinalitySequenceDatasetProvenance

hashCode() - Method in class org.tribuo.SkeletalVariableInfo

hashCode() - Method in class org.tribuo.transform.TransformationMap.TransformationList

hashCode() - Method in class org.tribuo.transform.transformations.BinningTransformation.BinningTransformationProvenance

hashCode() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation.LinearScalingTransformationProvenance

hashCode() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation.MeanStdDevTransformationProvenance

hashCode() - Method in class org.tribuo.transform.transformations.SimpleTransform.SimpleTransformProvenance

hashCode() - Method in class org.tribuo.transform.TransformerMap.TransformerMapProvenance

hashCode() - Method in class org.tribuo.util.IntDoublePair

hashCode() - Method in class org.tribuo.util.MeanVarianceAccumulator

HashCodeHasher - Class in org.tribuo.hash

Hashes names using String.hashCode().

HashCodeHasher(String) - Constructor for class org.tribuo.hash.HashCodeHasher

Constructs a HashCodeHasher using the specified salt value.

HashCodeHasher.HashCodeHasherProvenance - Class in org.tribuo.hash

Provenance for the HashCodeHasher.

HashCodeHasherProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance

Deserialization constructor.

HashedFeatureMap - Class in org.tribuo.hash

A FeatureMap used by the HashingTrainer to provide feature name hashing and guarantee that the Model does not contain feature name information, but still works with unhashed features names.

Hasher - Class in org.tribuo.hash

An abstract base class for hash functions used to hash the names of features.

Hasher() - Constructor for class org.tribuo.hash.Hasher

hashFeatureMap(Dataset<T>, Hasher) - Static method in class org.tribuo.ImmutableDataset

Creates an immutable shallow copy of the supplied dataset, using the hasher to generate a HashedFeatureMap which transparently maps from the feature name to the hashed variant.

HashingOptions - Class in org.tribuo.hash

An Options implementation which provides CLI arguments for the model hashing functionality.

HashingOptions() - Constructor for class org.tribuo.hash.HashingOptions

HashingOptions.ModelHashingType - Enum in org.tribuo.hash

Supported types of hashes in CLI programs.

HashingSequenceTrainer<T extends Output<T>> - Class in org.tribuo.sequence

A SequenceTrainer that hashes all the feature names on the way in.

HashingSequenceTrainer(SequenceTrainer<T>, Hasher) - Constructor for class org.tribuo.sequence.HashingSequenceTrainer

Constructs a hashing sequence trainer using the supplied parameters.

HashingSequenceTrainer.HashingSequenceTrainerProvenance - Class in org.tribuo.sequence

Provenance for HashingSequenceTrainer.

HashingSequenceTrainerProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.sequence.HashingSequenceTrainer.HashingSequenceTrainerProvenance

Deserialization constructor.

HashingTrainer<T extends Output<T>> - Class in org.tribuo.hash

A Trainer which hashes the Dataset before the Model is produced.

HashingTrainer(Trainer<T>, Hasher) - Constructor for class org.tribuo.hash.HashingTrainer

Constructs a hashing trainer using the supplied parameters.

hasProbabilities() - Method in class org.tribuo.Prediction

Are the scores probabilities?

HC - Enum constant in enum org.tribuo.hash.HashingOptions.ModelHashingType

Uses the String hash code.

HTMLOutput - Class in org.tribuo.util

Utilities for nice HTML output that can be put in wikis and such.

I

id - Variable in class org.tribuo.impl.IndexedArrayExample.FeatureTuple

The feature id number.

IDFTransformation - Class in org.tribuo.transform.transformations

A feature transformation that computes the IDF for features and then transforms them with a TF-IDF weighting.

IDFTransformation() - Constructor for class org.tribuo.transform.transformations.IDFTransformation

Constructs an IDFTransformation.

IDFTransformation.IDFTransformationProvenance - Class in org.tribuo.transform.transformations

Provenance for IDFTransformation.

IDFTransformationProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.transform.transformations.IDFTransformation.IDFTransformationProvenance

Deserialization constructor.

idIterator() - Method in class org.tribuo.impl.IndexedArrayExample

Iterator over the feature ids and values.

idMap - Variable in class org.tribuo.ImmutableFeatureMap

The map from id numbers to the feature infos.

IDXDataSource<T extends Output<T>> - Class in org.tribuo.datasource

A DataSource which can read IDX formatted data (i.e., MNIST).

IDXDataSource(Path, Path, OutputFactory<T>) - Constructor for class org.tribuo.datasource.IDXDataSource

Constructs an IDXDataSource from the supplied paths.

IDXDataSource.IDXData - Class in org.tribuo.datasource

Java side representation for an IDX file.

IDXDataSource.IDXDataSourceProvenance - Class in org.tribuo.datasource

Provenance class for IDXDataSource.

IDXDataSource.IDXType - Enum in org.tribuo.datasource

The possible IDX input formats.

IDXDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

Deserialization constructor.

ImmutableDataset<T extends Output<T>> - Class in org.tribuo

This is a Dataset which has an ImmutableFeatureMap to store the feature information.

ImmutableDataset(Iterable<Example<T>>, DataProvenance, OutputFactory<T>, FeatureMap, OutputInfo<T>, boolean) - Constructor for class org.tribuo.ImmutableDataset

Creates a dataset from a data source.

ImmutableDataset(Iterable<Example<T>>, DataProvenance, OutputFactory<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>, boolean) - Constructor for class org.tribuo.ImmutableDataset

Creates a dataset from a data source.

ImmutableDataset(DataSource<T>, FeatureMap, OutputInfo<T>, boolean) - Constructor for class org.tribuo.ImmutableDataset

Creates a dataset from a data source.

ImmutableDataset(DataSource<T>, Model<T>, boolean) - Constructor for class org.tribuo.ImmutableDataset

Creates a dataset from a data source.

ImmutableDataset(DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.ImmutableDataset

If you call this it's your job to setup outputMap, featureIDMap and fill it with examples.

ImmutableDataset(DataProvenance, OutputFactory<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Constructor for class org.tribuo.ImmutableDataset

This is dangerous, and should not be used unless you've overridden everything in ImmutableDataset.

ImmutableFeatureMap - Class in org.tribuo

ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.

ImmutableFeatureMap() - Constructor for class org.tribuo.ImmutableFeatureMap

Constructs a new empty immutable feature map.

ImmutableFeatureMap(List<VariableInfo>) - Constructor for class org.tribuo.ImmutableFeatureMap

Constructs a new immutable feature map copying the supplied variable infos and generating appropriate ID numbers.

ImmutableFeatureMap(FeatureMap) - Constructor for class org.tribuo.ImmutableFeatureMap

Constructs a new immutable version which is a deep copy of the supplied feature map, generating new ID numbers.

ImmutableOutputInfo<T extends Output<T>> - Interface in org.tribuo

An OutputInfo that is fixed, and contains an id number for each valid output.

ImmutableSequenceDataset<T extends Output<T>> - Class in org.tribuo.sequence

This is a SequenceDataset which has an ImmutableFeatureMap to store the feature information.

ImmutableSequenceDataset(Iterable<SequenceExample<T>>, DataProvenance, FeatureMap, OutputInfo<T>, OutputFactory<T>) - Constructor for class org.tribuo.sequence.ImmutableSequenceDataset

Creates a dataset from a data source.

ImmutableSequenceDataset(Iterable<SequenceExample<T>>, DataProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, OutputFactory<T>) - Constructor for class org.tribuo.sequence.ImmutableSequenceDataset

Creates a dataset from a data source.

ImmutableSequenceDataset(DataProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Constructor for class org.tribuo.sequence.ImmutableSequenceDataset

This is dangerous, and should not be used unless you've overridden everything in ImmutableSequenceDataset.

ImmutableSequenceDataset(DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.sequence.ImmutableSequenceDataset

If you call this it's your job to setup outputIDInfo and featureIDMap.

ImmutableSequenceDataset(SequenceDataSource<T>, FeatureMap, OutputInfo<T>) - Constructor for class org.tribuo.sequence.ImmutableSequenceDataset

Creates a dataset from a data source, using the specified output and feature domains.

ImmutableSequenceDataset(SequenceDataSource<T>, SequenceModel<T>) - Constructor for class org.tribuo.sequence.ImmutableSequenceDataset

Creates a dataset from a data source, taking the output and feature domains from the supplied model.

INCREMENT_INVOCATION_COUNT - Static variable in interface org.tribuo.Trainer

When training a model, passing this value will inform the trainer to simply increment the invocation count rather than set a new one

incrementalTrain(Dataset<T>, U) - Method in interface org.tribuo.IncrementalTrainer

Incrementally trains the supplied model with the new data.

IncrementalTrainer<T extends Output<T>,U extends Model<T>> - Interface in org.tribuo

An interface for incremental training of Models.

IndependentSequenceModel<T extends Output<T>> - Class in org.tribuo.sequence

A SequenceModel which independently predicts each element of the sequence.

IndependentSequenceTrainer<T extends Output<T>> - Class in org.tribuo.sequence

Trains a sequence model by training a regular model to independently predict every example in each sequence.

IndependentSequenceTrainer(Trainer<T>) - Constructor for class org.tribuo.sequence.IndependentSequenceTrainer

Builds a sequence trainer which uses a Trainer to independently predict each sequence element.

index - Variable in class org.tribuo.util.IntDoublePair

The key.

IndexedArrayExample<T extends Output<T>> - Class in org.tribuo.impl

A version of ArrayExample which also has the id numbers.

IndexedArrayExample(Example<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Constructor for class org.tribuo.impl.IndexedArrayExample

This constructor removes unknown features.

IndexedArrayExample(IndexedArrayExample<T>) - Constructor for class org.tribuo.impl.IndexedArrayExample

Copy constructor.

IndexedArrayExample.FeatureTuple - Class in org.tribuo.impl

A tuple of the feature name, id and value.

indices - Variable in class org.tribuo.Dataset

The indices of the shuffled order.

innerPredict(Iterable<Example<T>>) - Method in class org.tribuo.Model

Called by the base implementations of Model.predict(Iterable) and Model.predict(Dataset).

innerTrainer - Variable in class org.tribuo.ensemble.BaggingTrainer

inPlaceAdd(double[], double[]) - Static method in class org.tribuo.util.Util

Adds update to input in place.

inPlaceAdd(float[], float[]) - Static method in class org.tribuo.util.Util

Adds update to input in place.

inplaceNormalizeToDistribution(double[]) - Static method in class org.tribuo.util.Util

Normalizes the input array in place.

inplaceNormalizeToDistribution(float[]) - Static method in class org.tribuo.util.Util

Normalizes the input array in place.

inPlaceSubtract(double[], double[]) - Static method in class org.tribuo.util.Util

Subtracts update from input in place.

inPlaceSubtract(float[], float[]) - Static method in class org.tribuo.util.Util

Subtracts update from input in place.

INSTANCE_VALUES - Static variable in class org.tribuo.provenance.ModelProvenance

instanceProvenance - Variable in class org.tribuo.provenance.ModelProvenance

INT - Enum constant in enum org.tribuo.datasource.IDXDataSource.IDXType

A 32-bit integer.

IntDoublePair - Class in org.tribuo.util

A Pair of a primitive int and a primitive double.

IntDoublePair(int, double) - Constructor for class org.tribuo.util.IntDoublePair

Constructs a tuple out of an int and a double.

internalProvenances() - Method in class org.tribuo.provenance.EnsembleModelProvenance

internalProvenances() - Method in class org.tribuo.provenance.ModelProvenance

Returns a list of all the provenances in this model provenance so subclasses can append to the list.

IS_SEQUENCE - Static variable in interface org.tribuo.provenance.TrainerProvenance

The name of the provenance field recording if this is a sequence trainer.

IS_SNAPSHOT - Static variable in class org.tribuo.Tribuo

Is this a snapshot build.

isBinary(Feature) - Static method in class org.tribuo.impl.BinaryFeaturesExample

Is the supplied feature binary (i.e., does it have a value of 1.0)?

isDense() - Method in class org.tribuo.MutableDataset

Is the dataset dense (i.e., do all features in the domain have a value in each example).

isDense() - Method in class org.tribuo.provenance.DatasetProvenance

Is the Dataset dense?

isDense() - Method in class org.tribuo.sequence.MutableSequenceDataset

Is the dataset dense (i.e., do all features in the domain have a value in each example).

isDense(FeatureMap) - Method in class org.tribuo.Example

Is this example dense wrt the supplied feature map.

isDense(FeatureMap) - Method in class org.tribuo.impl.ArrayExample

isDense(FeatureMap) - Method in class org.tribuo.impl.BinaryFeaturesExample

isDense(FeatureMap) - Method in class org.tribuo.impl.ListExample

isDense(FeatureMap) - Method in class org.tribuo.sequence.SequenceExample

Is this sequence example dense wrt the supplied feature map.

isSampled() - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

Is this view from a bootstrap sample.

isSequence() - Method in class org.tribuo.provenance.DatasetProvenance

Is it a sequence dataset?

isSequence() - Method in class org.tribuo.provenance.SkeletalTrainerProvenance

Is this a sequence trainer.

isWeighted() - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

Is this view a weighted bootstrap sample.

isZeroIndexed() - Method in class org.tribuo.datasource.LibSVMDataSource

Returns true if this dataset is zero indexed, false otherwise (i.e., it starts from 1).

iterator() - Method in class org.tribuo.dataset.DatasetView

iterator() - Method in class org.tribuo.Dataset

iterator() - Method in class org.tribuo.datasource.AggregateConfigurableDataSource

iterator() - Method in class org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance

iterator() - Method in class org.tribuo.datasource.AggregateDataSource

iterator() - Method in class org.tribuo.datasource.IDXDataSource

iterator() - Method in class org.tribuo.datasource.LibSVMDataSource

iterator() - Method in class org.tribuo.datasource.ListDataSource

iterator() - Method in class org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance

iterator() - Method in class org.tribuo.FeatureMap

iterator() - Method in class org.tribuo.impl.ArrayExample

iterator() - Method in class org.tribuo.impl.BinaryFeaturesExample

iterator() - Method in class org.tribuo.impl.ListExample

iterator() - Method in class org.tribuo.provenance.DatasetProvenance

iterator() - Method in class org.tribuo.provenance.EvaluationProvenance

iterator() - Method in class org.tribuo.provenance.impl.EmptyDataSourceProvenance

iterator() - Method in class org.tribuo.provenance.ModelProvenance

Calls ModelProvenance.internalProvenances() and returns the iterator from that list.

iterator() - Method in class org.tribuo.provenance.SimpleDataSourceProvenance

iterator() - Method in class org.tribuo.sequence.SequenceDataset

iterator() - Method in class org.tribuo.sequence.SequenceExample

iterator() - Method in class org.tribuo.transform.TransformerMap.TransformerMapProvenance

J

JAVA_VERSION_STRING - Static variable in class org.tribuo.provenance.ModelProvenance

javaVersionString - Variable in class org.tribuo.provenance.ModelProvenance

K

keySet() - Method in class org.tribuo.FeatureMap

Returns all the feature names in the domain.

KFoldSplitter<T extends Output<T>> - Class in org.tribuo.evaluation

A k-fold splitter to be used in cross-validation.

KFoldSplitter(int) - Constructor for class org.tribuo.evaluation.KFoldSplitter

Builds a k-fold splitter using Trainer.DEFAULT_SEED as the seed.

KFoldSplitter(int, long) - Constructor for class org.tribuo.evaluation.KFoldSplitter

Builds a k-fold splitter.

KFoldSplitter.TrainTestFold<T extends Output<T>> - Class in org.tribuo.evaluation

Stores a train/test split for a dataset.

L

LibSVMDataSource<T extends Output<T>> - Class in org.tribuo.datasource

A DataSource which can read LibSVM formatted data.

LibSVMDataSource(URL, OutputFactory<T>) - Constructor for class org.tribuo.datasource.LibSVMDataSource

Constructs a LibSVMDataSource from the supplied URL and output factory.

LibSVMDataSource(URL, OutputFactory<T>, boolean, int) - Constructor for class org.tribuo.datasource.LibSVMDataSource

Constructs a LibSVMDataSource from the supplied URL and output factory.

LibSVMDataSource(Path, OutputFactory<T>) - Constructor for class org.tribuo.datasource.LibSVMDataSource

Constructs a LibSVMDataSource from the supplied path and output factory.

LibSVMDataSource(Path, OutputFactory<T>, boolean, int) - Constructor for class org.tribuo.datasource.LibSVMDataSource

Constructs a LibSVMDataSource from the supplied path and output factory.

LibSVMDataSource.LibSVMDataSourceProvenance - Class in org.tribuo.datasource

The provenance for a LibSVMDataSource.

LibSVMDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.datasource.LibSVMDataSource.LibSVMDataSourceProvenance

Constructs a provenance during unmarshalling.

LinearScalingTransformation - Class in org.tribuo.transform.transformations

A Transformation which takes an observed distribution and rescales it so all values are between the desired min and max.

LinearScalingTransformation() - Constructor for class org.tribuo.transform.transformations.LinearScalingTransformation

Defaults to zero - one.

LinearScalingTransformation(double, double) - Constructor for class org.tribuo.transform.transformations.LinearScalingTransformation

Constructs a LinearScalingTransformation which puts feature values into the specified range.

LinearScalingTransformation.LinearScalingTransformationProvenance - Class in org.tribuo.transform.transformations

Provenance for LinearScalingTransformation.

LinearScalingTransformationProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.transform.transformations.LinearScalingTransformation.LinearScalingTransformationProvenance

Deserialization constructor.

list - Variable in class org.tribuo.transform.TransformationMap.TransformationList

The list of transformations.

ListDataSource<T extends Output<T>> - Class in org.tribuo.datasource

A data source which wraps up a list of Examples along with their DataSourceProvenance and an OutputFactory.

ListDataSource(List<Example<T>>, OutputFactory<T>, DataSourceProvenance) - Constructor for class org.tribuo.datasource.ListDataSource

Constructs an in-memory data source wrapping the supplied examples.

ListExample<T extends Output<T>> - Class in org.tribuo.impl

This class will not be performant until value types are available in Java.

ListExample(Example<T>) - Constructor for class org.tribuo.impl.ListExample

Copies the supplied example's features, weight, output and metadata into this example.

ListExample(T) - Constructor for class org.tribuo.impl.ListExample

Constructs a ListExample for the specified output with a weight of Example.DEFAULT_WEIGHT.

ListExample(T, float) - Constructor for class org.tribuo.impl.ListExample

Constructs a ListExample for the specified output and weight.

ListExample(T, String[], double[]) - Constructor for class org.tribuo.impl.ListExample

Constructs a ListExample from the specified output, feature names and feature values.

ListExample(T, List<? extends Feature>) - Constructor for class org.tribuo.impl.ListExample

Constructs a ListExample using the specified output and feature list.

loadModel(CommandInterpreter, File) - Method in class org.tribuo.ModelExplorer

Loads a model.

loadModel(CommandInterpreter, File) - Method in class org.tribuo.sequence.SequenceModelExplorer

Loads a model.

log - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Logs the inputs (base_e)

log() - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that applies Math.log(double).

logVector(Logger, Level, double[]) - Static method in class org.tribuo.util.Util

Logs the supplied array to the supplied logger at the specified level.

logVector(Logger, Level, float[]) - Static method in class org.tribuo.util.Util

Logs the supplied array to the supplied logger at the specified level.

LongPair() - Constructor for class org.tribuo.util.MurmurHash3.LongPair

lookup(String) - Method in class org.tribuo.Example

Returns the Feature in this Example which has the supplied name, if it's present.

lookup(String) - Method in class org.tribuo.impl.ArrayExample

lookup(String) - Method in class org.tribuo.impl.BinaryFeaturesExample

lookup(String) - Method in class org.tribuo.impl.ListExample

M

m - Variable in class org.tribuo.FeatureMap

Map from the feature names to their info.

MACRO - Enum constant in enum org.tribuo.evaluation.metrics.EvaluationMetric.Average

The macro average.

macroAverageTarget() - Static method in class org.tribuo.evaluation.metrics.MetricTarget

Get the singleton MetricTarget which contains the EvaluationMetric.Average.MACRO.

main(String[]) - Static method in class org.tribuo.ModelExplorer

Entry point.

main(String[]) - Static method in class org.tribuo.sequence.SequenceModelExplorer

Runs the sequence model explorer.

MAJOR_VERSION - Static variable in class org.tribuo.Tribuo

The major version number.

makeIDInfo(int) - Method in class org.tribuo.CategoricalIDInfo

makeIDInfo(int) - Method in class org.tribuo.CategoricalInfo

makeIDInfo(int) - Method in class org.tribuo.RealIDInfo

makeIDInfo(int) - Method in class org.tribuo.RealInfo

makeIDInfo(int) - Method in interface org.tribuo.VariableInfo

Generates a VariableIDInfo subclass which represents the same feature.

max - Variable in class org.tribuo.RealInfo

The maximum observed feature value.

max() - Static method in interface org.tribuo.util.Merger

A merger which takes the maximum element.

mean - Variable in class org.tribuo.RealInfo

The feature mean.

mean(double[]) - Static method in class org.tribuo.util.Util

Returns the mean of the input array.

mean(double[], int) - Static method in class org.tribuo.util.Util

Computes the mean of the first length elements of array.

mean(Collection<V>) - Static method in class org.tribuo.util.Util

Computes the mean of the collection.

meanAndVariance(double[]) - Static method in class org.tribuo.util.Util

Returns the mean and variance of the input.

meanAndVariance(double[], int) - Static method in class org.tribuo.util.Util

Returns the mean and variance of the input's first length elements.

MeanStdDevTransformation - Class in org.tribuo.transform.transformations

A Transformation which takes an observed distribution and rescales it so it has the desired mean and standard deviation.

MeanStdDevTransformation() - Constructor for class org.tribuo.transform.transformations.MeanStdDevTransformation

Defaults to zero mean, one std dev.

MeanStdDevTransformation(double, double) - Constructor for class org.tribuo.transform.transformations.MeanStdDevTransformation

Constructs a MeanStdDevTransformation targetting the specified mean and standard deviation.

MeanStdDevTransformation.MeanStdDevTransformationProvenance - Class in org.tribuo.transform.transformations

Provenance for MeanStdDevTransformation.

MeanStdDevTransformationProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.transform.transformations.MeanStdDevTransformation.MeanStdDevTransformationProvenance

Deserialization constructor.

MeanVarianceAccumulator - Class in org.tribuo.util

An accumulator for online calculation of the mean and variance of a stream of doubles.

MeanVarianceAccumulator() - Constructor for class org.tribuo.util.MeanVarianceAccumulator

Constructs an empty mean/variance accumulator.

MeanVarianceAccumulator(double[]) - Constructor for class org.tribuo.util.MeanVarianceAccumulator

Constructs a mean/variance accumulator and observes the supplied array.

MeanVarianceAccumulator(MeanVarianceAccumulator) - Constructor for class org.tribuo.util.MeanVarianceAccumulator

Copy constructor.

MEMBERS - Static variable in class org.tribuo.provenance.EnsembleModelProvenance

The name of the provenance field where the member provenances are stored.

merge(double, double) - Method in interface org.tribuo.util.Merger

Merges first and second.

Merger - Interface in org.tribuo.util

An interface which can merge double values.

MessageDigestHasher - Class in org.tribuo.hash

Hashes Strings using the supplied MessageDigest type.

MessageDigestHasher(String, String) - Constructor for class org.tribuo.hash.MessageDigestHasher

Constructs a message digest hasher.

MessageDigestHasher.MessageDigestHasherProvenance - Class in org.tribuo.hash

Provenance for MessageDigestHasher.

MessageDigestHasherProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance

Deserialization constructor.

metadata - Variable in class org.tribuo.Example

The example metadata.

MetricContext<T extends Output<T>> - Class in org.tribuo.evaluation.metrics

The context for a metric or set of metrics.

MetricContext(Model<T>, List<Prediction<T>>) - Constructor for class org.tribuo.evaluation.metrics.MetricContext

MetricContext(SequenceModel<T>, List<Prediction<T>>) - Constructor for class org.tribuo.evaluation.metrics.MetricContext

MetricID<T extends Output<T>> - Class in org.tribuo.evaluation.metrics

Just an easier-to-read alias for Pair<MetricTarget<T>, String>.

MetricID(MetricTarget<T>, String) - Constructor for class org.tribuo.evaluation.metrics.MetricID

Constructs a metric id.

MetricTarget<T extends Output<T>> - Class in org.tribuo.evaluation.metrics

Used by a given EvaluationMetric to determine whether it should compute its value for a specific Output value or whether it should average them.

MetricTarget(EvaluationMetric.Average) - Constructor for class org.tribuo.evaluation.metrics.MetricTarget

Builds a metric target for an average.

MetricTarget(T) - Constructor for class org.tribuo.evaluation.metrics.MetricTarget

Builds a metric target for an output.

MICRO - Enum constant in enum org.tribuo.evaluation.metrics.EvaluationMetric.Average

The micro average.

microAverageTarget() - Static method in class org.tribuo.evaluation.metrics.MetricTarget

Get the singleton MetricTarget which contains the EvaluationMetric.Average.MICRO.

min - Variable in class org.tribuo.RealInfo

The minimum observed feature value.

min() - Static method in interface org.tribuo.util.Merger

A merger which takes the minimum element.

MIN_LENGTH - Static variable in class org.tribuo.hash.Hasher

The minimum length of the salt.

minCount(CommandInterpreter, int) - Method in class org.tribuo.ModelExplorer

Shows the number of features which occurred more than min count times.

minCount(CommandInterpreter, int) - Method in class org.tribuo.sequence.SequenceModelExplorer

Shows the number of features which occurred more than minCount times in the training data.

MinimumCardinalityDataset<T extends Output<T>> - Class in org.tribuo.dataset

This class creates a pruned dataset in which low frequency features that occur less than the provided minimum cardinality have been removed.

MinimumCardinalityDataset(Dataset<T>, int) - Constructor for class org.tribuo.dataset.MinimumCardinalityDataset

MinimumCardinalityDataset.MinimumCardinalityDatasetProvenance - Class in org.tribuo.dataset

Provenance for MinimumCardinalityDataset.

MinimumCardinalityDatasetProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.dataset.MinimumCardinalityDataset.MinimumCardinalityDatasetProvenance

Deserialization constructor.

MinimumCardinalitySequenceDataset<T extends Output<T>> - Class in org.tribuo.sequence

This class creates a pruned dataset in which low frequency features that occur less than the provided minimum cardinality have been removed.

MinimumCardinalitySequenceDataset(SequenceDataset<T>, int) - Constructor for class org.tribuo.sequence.MinimumCardinalitySequenceDataset

MinimumCardinalitySequenceDataset.MinimumCardinalitySequenceDatasetProvenance - Class in org.tribuo.sequence

Provenance for MinimumCardinalitySequenceDataset.

MinimumCardinalitySequenceDatasetProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.sequence.MinimumCardinalitySequenceDataset.MinimumCardinalitySequenceDatasetProvenance

Deserialization constructor.

MINOR_VERSION - Static variable in class org.tribuo.Tribuo

The minor version number.

MOD - Enum constant in enum org.tribuo.hash.HashingOptions.ModelHashingType

Takes the String hash code mod some value.

Model<T extends Output<T>> - Class in org.tribuo

A prediction model, which is used to predict outputs for unseen instances.

Model(String, ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, boolean) - Constructor for class org.tribuo.Model

Constructs a new model, storing the supplied fields.

modelDescription(CommandInterpreter) - Method in class org.tribuo.sequence.SequenceModelExplorer

Shows the model description.

ModelExplorer - Class in org.tribuo

A command line interface for loading in models and inspecting their feature and output spaces.

ModelExplorer() - Constructor for class org.tribuo.ModelExplorer

Builds a new model explorer shell.

ModelExplorer.ModelExplorerOptions - Class in org.tribuo

CLI options for ModelExplorer.

ModelExplorerOptions() - Constructor for class org.tribuo.ModelExplorer.ModelExplorerOptions

modelFilename - Variable in class org.tribuo.ModelExplorer.ModelExplorerOptions

Model file to load.

modelFilename - Variable in class org.tribuo.sequence.SequenceModelExplorer.SequenceModelExplorerOptions

Model file to load.

modelHashingAlgorithm - Variable in class org.tribuo.hash.HashingOptions

Hash the model during training, options are {NONE,MOD,HC,SHA1,SHA256}

modelHashingSalt - Variable in class org.tribuo.hash.HashingOptions

Salt for hashing the model

modelProvenance(CommandInterpreter) - Method in class org.tribuo.ModelExplorer

Displays the model provenance.

ModelProvenance - Class in org.tribuo.provenance

Contains provenance information for an instance of a Model.

ModelProvenance(String, OffsetDateTime, DatasetProvenance, TrainerProvenance) - Constructor for class org.tribuo.provenance.ModelProvenance

Creates a model provenance tracking the class name, creation time, dataset provenance and trainer provenance.

ModelProvenance(String, OffsetDateTime, DatasetProvenance, TrainerProvenance, Map<String, Provenance>) - Constructor for class org.tribuo.provenance.ModelProvenance

Creates a model provenance tracking the class name, creation time, dataset provenance, trainer provenance and any instance specific provenance.

ModelProvenance(String, OffsetDateTime, DatasetProvenance, TrainerProvenance, Map<String, Provenance>, boolean) - Constructor for class org.tribuo.provenance.ModelProvenance

Creates a model provenance tracking the class name, creation time, dataset provenance, trainer provenance and any instance specific provenance.

ModelProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.ModelProvenance

Used by the provenance unmarshalling system.

models - Variable in class org.tribuo.ensemble.EnsembleModel

ModHashCodeHasher - Class in org.tribuo.hash

Hashes names using String.hashCode(), then reduces the dimension.

ModHashCodeHasher(int, String) - Constructor for class org.tribuo.hash.ModHashCodeHasher

Constructs a ModHashCodeHasher with the supplied parameters.

ModHashCodeHasher(String) - Constructor for class org.tribuo.hash.ModHashCodeHasher

Constructs a ModHashCodeHasher with a fixed dimensionality of 100.

ModHashCodeHasher.ModHashCodeHasherProvenance - Class in org.tribuo.hash

Provenance for the ModHashCodeHasher.

ModHashCodeHasherProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance

Deserialization constructor.

mul - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Multiplies by the specified constant.

mul(double) - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that multiplies each value by the operand.

MurmurHash3 - Class in org.tribuo.util

The MurmurHash3 algorithm was created by Austin Appleby and placed in the public domain.

MurmurHash3() - Constructor for class org.tribuo.util.MurmurHash3

murmurhash3_x64_128(byte[], int, int, int, MurmurHash3.LongPair) - Static method in class org.tribuo.util.MurmurHash3

Returns the MurmurHash3_x64_128 hash, placing the result in "out".

murmurhash3_x86_32(byte[], int, int, int) - Static method in class org.tribuo.util.MurmurHash3

Returns the MurmurHash3_x86_32 hash.

murmurhash3_x86_32(CharSequence, int, int, int) - Static method in class org.tribuo.util.MurmurHash3

Returns the MurmurHash3_x86_32 hash of the UTF-8 bytes of the String without actually encoding the string to a temporary buffer.

MurmurHash3.LongPair - Class in org.tribuo.util

128 bits of state

MutableDataset<T extends Output<T>> - Class in org.tribuo

A MutableDataset is a Dataset with a MutableFeatureMap which grows over time.

MutableDataset(Iterable<Example<T>>, DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.MutableDataset

Creates a dataset from a data source.

MutableDataset(DataSource<T>) - Constructor for class org.tribuo.MutableDataset

Creates a dataset from a data source.

MutableDataset(DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.MutableDataset

Creates an empty dataset.

MutableFeatureMap - Class in org.tribuo

A feature map that can record new feature value observations.

MutableFeatureMap() - Constructor for class org.tribuo.MutableFeatureMap

Creates an empty feature map which converts high cardinality categorical variable infos into reals.

MutableFeatureMap(boolean) - Constructor for class org.tribuo.MutableFeatureMap

Creates an empty feature map which can optionally convert high cardinality categorical variable infos into reals.

MutableOutputInfo<T extends Output<T>> - Interface in org.tribuo

A mutable OutputInfo that can record observed output values.

MutableSequenceDataset<T extends Output<T>> - Class in org.tribuo.sequence

A MutableSequenceDataset is a SequenceDataset with a MutableFeatureMap which grows over time.

MutableSequenceDataset(Iterable<SequenceExample<T>>, DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.sequence.MutableSequenceDataset

Creates a dataset from a data source.

MutableSequenceDataset(DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.sequence.MutableSequenceDataset

Creates an empty sequence dataset.

MutableSequenceDataset(ImmutableSequenceDataset<T>) - Constructor for class org.tribuo.sequence.MutableSequenceDataset

Copies the immutable dataset into a mutable dataset.

MutableSequenceDataset(SequenceDataSource<T>) - Constructor for class org.tribuo.sequence.MutableSequenceDataset

Builds a dataset from the supplied data source.

N

name - Variable in class org.tribuo.Feature

The feature name.

name - Variable in class org.tribuo.impl.IndexedArrayExample.FeatureTuple

The feature name.

name - Variable in class org.tribuo.Model

The model's name.

name - Variable in class org.tribuo.sequence.SequenceModel

name - Variable in class org.tribuo.SkeletalVariableInfo

The name of the feature.

NAME - Static variable in class org.tribuo.Example

By convention the example name is stored using this metadata key.

newCapacity(int) - Method in class org.tribuo.impl.ArrayExample

Returns a capacity at least as large as the given minimum capacity.

newCapacity(int) - Method in class org.tribuo.impl.BinaryFeaturesExample

Returns a capacity at least as large as the given minimum capacity.

NONE - Enum constant in enum org.tribuo.hash.HashingOptions.ModelHashingType

No hashing applied.

normalizeToDistribution(double[]) - Static method in class org.tribuo.util.Util

Generates a normalized version of the input array.

normalizeToDistribution(float[]) - Static method in class org.tribuo.util.Util

Generates a normalized version of the input array.

nsplits - Variable in class org.tribuo.evaluation.KFoldSplitter

numFeatures(CommandInterpreter) - Method in class org.tribuo.ModelExplorer

Displays the number of features.

numFeatures(CommandInterpreter) - Method in class org.tribuo.sequence.SequenceModelExplorer

Shows the number of features in this model.

numMembers - Variable in class org.tribuo.ensemble.BaggingTrainer

O

observe(double) - Method in class org.tribuo.CategoricalInfo

observe(double) - Method in class org.tribuo.RealInfo

observe(double) - Method in class org.tribuo.SkeletalVariableInfo

Records the value.

observe(double) - Method in class org.tribuo.util.MeanVarianceAccumulator

Observes a value, i.e., updates the sufficient statistics for computing mean, variance, max and min.

observe(double[]) - Method in class org.tribuo.util.MeanVarianceAccumulator

Observes a value, i.e., updates the sufficient statistics for computing mean, variance, max and min.

observe(List<Prediction<T>>) - Method in class org.tribuo.evaluation.OnlineEvaluator

Records all the supplied predictions.

observe(Prediction<T>) - Method in class org.tribuo.evaluation.OnlineEvaluator

Records the supplied prediction.

observe(T) - Method in interface org.tribuo.MutableOutputInfo

Records an output value or statistics thereof.

observedCount - Variable in class org.tribuo.CategoricalInfo

The count of the observed value if it's only seen a single one.

observedValue - Variable in class org.tribuo.CategoricalInfo

The observed value if it's only seen a single one.

observeSparse() - Method in class org.tribuo.transform.transformations.SimpleTransform

Deprecated.

observeSparse() - Method in interface org.tribuo.transform.TransformStatistics

Deprecated.

in 4.1 as it's unnecessary.

observeSparse(int) - Method in class org.tribuo.transform.transformations.SimpleTransform

No-op on this TransformStatistics.

observeSparse(int) - Method in interface org.tribuo.transform.TransformStatistics

Observes count sparse values.

observeValue(double) - Method in class org.tribuo.transform.transformations.SimpleTransform

No-op on this TransformStatistics.

observeValue(double) - Method in interface org.tribuo.transform.TransformStatistics

Observes a value and updates the statistics.

OnlineEvaluator<T extends Output<T>,E extends Evaluation<T>> - Class in org.tribuo.evaluation

An evaluator which aggregates predictions and produces Evaluations covering all the Predictions it has seen or created.

OnlineEvaluator(Evaluator<T, E>, Model<T>, DataProvenance) - Constructor for class org.tribuo.evaluation.OnlineEvaluator

Constructs an OnlineEvaluator which accumulates predictions.

ONNXExportable - Interface in org.tribuo

An interface which denotes this Model can be exported as an ONNX model.

org.tribuo - package org.tribuo

Provides the core interfaces and classes for using Tribuo.

org.tribuo.dataset - package org.tribuo.dataset

Provides utility datasets which subsample or otherwise transform the wrapped dataset.

org.tribuo.datasource - package org.tribuo.datasource

Simple data sources for ingesting or aggregating data.

org.tribuo.ensemble - package org.tribuo.ensemble

Provides an interface for model prediction combinations, two base classes for ensemble models, a base class for ensemble excuses, and a Bagging implementation.

org.tribuo.evaluation - package org.tribuo.evaluation

Evaluation base classes, along with code for train/test splits and cross validation.

org.tribuo.evaluation.metrics - package org.tribuo.evaluation.metrics

This package contains the infrastructure classes for building evaluation metrics.

org.tribuo.hash - package org.tribuo.hash

Provides the base interface and implementations of the Model hashing which obscures the feature names stored in a model.

org.tribuo.impl - package org.tribuo.impl

Provides implementations of base classes and interfaces from org.tribuo.

org.tribuo.provenance - package org.tribuo.provenance

Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.

org.tribuo.provenance.impl - package org.tribuo.provenance.impl

Provides internal implementations for empty provenance classes and TrainerProvenance.

org.tribuo.sequence - package org.tribuo.sequence

Provides core classes for working with sequences of Examples.

org.tribuo.transform - package org.tribuo.transform

Provides infrastructure for applying transformations to a Dataset.

org.tribuo.transform.transformations - package org.tribuo.transform.transformations

Provides implementations of standard transformations like binning, scaling, taking logs and exponents.

org.tribuo.util - package org.tribuo.util

Provides utilities which don't have other Tribuo dependencies.

OS_STRING - Static variable in class org.tribuo.provenance.ModelProvenance

osString - Variable in class org.tribuo.provenance.ModelProvenance

output - Variable in class org.tribuo.Example

The output associated with this example.

Output<T extends Output<T>> - Interface in org.tribuo

Output is the root interface for the supported prediction types.

OUTPUT_FACTORY - Static variable in interface org.tribuo.provenance.DataSourceProvenance

The name of the provenance field for the output factory.

OUTPUT_FILE_MODIFIED_TIME - Static variable in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

The name of the output file modified time provenance field.

OUTPUT_RESOURCE_HASH - Static variable in class org.tribuo.datasource.IDXDataSource.IDXDataSourceProvenance

The name of the provenance field for the output file hash.

outputCountsIterable() - Method in interface org.tribuo.OutputInfo

An Iterable over the possible outputs and the number of times they were observed.

outputFactory - Variable in class org.tribuo.Dataset

A factory for making OutputInfo and Output of the appropriate type.

outputFactory - Variable in class org.tribuo.sequence.SequenceDataset

A factory for making OutputInfo and Output of the appropriate type.

OutputFactory<T extends Output<T>> - Interface in org.tribuo

An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.

OutputFactoryProvenance - Interface in org.tribuo.provenance

A tag provenance for an output factory.

outputID - Variable in class org.tribuo.impl.IndexedArrayExample

Output id from the internal output map.

outputIDInfo - Variable in class org.tribuo.ImmutableDataset

Output information, and id numbers for outputs found in this dataset.

outputIDInfo - Variable in class org.tribuo.Model

The outputs this model predicts.

outputIDInfo - Variable in class org.tribuo.sequence.ImmutableSequenceDataset

A map from labels to IDs for the labels found in this dataset.

outputIDMap - Variable in class org.tribuo.sequence.SequenceModel

outputInfo - Variable in class org.tribuo.sequence.MutableSequenceDataset

A map from labels to IDs for the labels found in this dataset.

outputInfo(CommandInterpreter) - Method in class org.tribuo.ModelExplorer

Displays the output info.

outputInfo(CommandInterpreter) - Method in class org.tribuo.sequence.SequenceModelExplorer

Shows the output information.

OutputInfo<T extends Output<T>> - Interface in org.tribuo

Tracks relevant properties of the appropriate Output subclass.

outputMap - Variable in class org.tribuo.MutableDataset

Information about the outputs in this dataset.

P

pairDescendingValueComparator() - Static method in class org.tribuo.util.IntDoublePair

Compare pairs by value.

pairIndexComparator() - Static method in class org.tribuo.util.IntDoublePair

Compare pairs by index.

pairValueComparator() - Static method in class org.tribuo.util.IntDoublePair

Compare pairs by value.

POINT_VERSION - Static variable in class org.tribuo.Tribuo

The patch release number.

postConfig() - Method in class org.tribuo.datasource.IDXDataSource

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.datasource.LibSVMDataSource

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.ensemble.BaggingTrainer

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.hash.HashCodeHasher

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.hash.MessageDigestHasher

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.hash.ModHashCodeHasher

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.transform.TransformationMap

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.transform.transformations.BinningTransformation

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation

Used by the OLCUT configuration system, and should not be called by external code.

postConfig() - Method in class org.tribuo.transform.transformations.SimpleTransform

Used by the OLCUT configuration system, and should not be called by external code.

predict(Iterable<Example<T>>) - Method in class org.tribuo.Model

Uses the model to predict the output for multiple examples.

predict(Iterable<SequenceExample<T>>) - Method in class org.tribuo.sequence.SequenceModel

Uses the model to predict the output for multiple examples.

predict(Dataset<T>) - Method in class org.tribuo.Model

Uses the model to predict the outputs for multiple examples contained in a data set.

predict(Dataset<T>) - Method in class org.tribuo.transform.TransformedModel

predict(Example<T>) - Method in class org.tribuo.ensemble.WeightedEnsembleModel

predict(Example<T>) - Method in class org.tribuo.Model

Uses the model to predict the output for a single example.

predict(Example<T>) - Method in class org.tribuo.transform.TransformedModel

predict(SequenceDataset<T>) - Method in class org.tribuo.sequence.SequenceModel

Uses the model to predict the labels for multiple examples contained in a data set.

predict(SequenceExample<T>) - Method in class org.tribuo.sequence.IndependentSequenceModel

predict(SequenceExample<T>) - Method in class org.tribuo.sequence.SequenceModel

Uses the model to predict the output for a single example.

predictAndObserve(Iterable<Example<T>>) - Method in class org.tribuo.evaluation.OnlineEvaluator

Feeds the examples to the model, records the predictions and returns them.

predictAndObserve(Example<T>) - Method in class org.tribuo.evaluation.OnlineEvaluator

Feeds the example to the model, records the prediction and returns it.

Prediction<T extends Output<T>> - Class in org.tribuo

A prediction made by a Model.

Prediction(Prediction<T>, int, Example<T>) - Constructor for class org.tribuo.Prediction

Constructs a prediction from the supplied arguments.

Prediction(T, int, Example<T>) - Constructor for class org.tribuo.Prediction

Constructs a prediction from the supplied arguments.

Prediction(T, Map<String, T>, int, Example<T>, boolean) - Constructor for class org.tribuo.Prediction

Constructs a prediction from the supplied arguments.

printFeatureMap(Map<String, List<Pair<String, Double>>>, List<String>, PrintStream) - Static method in class org.tribuo.util.HTMLOutput

Formats a feature ranking as a HTML table.

provenance - Variable in class org.tribuo.Model

The model provenance.

PROVENANCE_METADATA_FIELD - Static variable in interface org.tribuo.ONNXExportable

The name of the ONNX metadata field where the provenance information is stored in exported models.

provenanceOutput - Variable in class org.tribuo.Model

The cached toString of the model provenance.

provenanceOutput - Variable in class org.tribuo.sequence.SequenceModel

put(VariableInfo) - Method in class org.tribuo.MutableFeatureMap

Adds a variable info into the feature map.

R

randperm(int, Random) - Static method in class org.tribuo.util.Util

Shuffles the indices in the range [0,size).

randperm(int, SplittableRandom) - Static method in class org.tribuo.util.Util

Shuffles the indices in the range [0,size).

randpermInPlace(double[], SplittableRandom) - Static method in class org.tribuo.util.Util

Shuffles the input.

randpermInPlace(int[], Random) - Static method in class org.tribuo.util.Util

Shuffles the input.

randpermInPlace(int[], SplittableRandom) - Static method in class org.tribuo.util.Util

Shuffles the input.

RealIDInfo - Class in org.tribuo

Same as a RealInfo, but with an additional int id field.

RealIDInfo(String, int, double, double, double, double, int) - Constructor for class org.tribuo.RealIDInfo

Constructs a real id info from the supplied arguments.

RealIDInfo(RealInfo, int) - Constructor for class org.tribuo.RealIDInfo

Constructs a deep copy of the supplied real info and id.

RealInfo - Class in org.tribuo

Stores information about real valued features.

RealInfo(String) - Constructor for class org.tribuo.RealInfo

Creates an empty real info with the supplied name.

RealInfo(String, int) - Constructor for class org.tribuo.RealInfo

Creates a real info with the supplied starting conditions.

RealInfo(String, int, double, double, double, double) - Constructor for class org.tribuo.RealInfo

Creates a real info with the supplied starting conditions.

RealInfo(RealInfo) - Constructor for class org.tribuo.RealInfo

Copy constructor.

RealInfo(RealInfo, String) - Constructor for class org.tribuo.RealInfo

Copy constructor which renames the feature.

reduceByName(Merger) - Method in class org.tribuo.Example

Merges features with the same name using the supplied Merger.

reduceByName(Merger) - Method in class org.tribuo.impl.ArrayExample

reduceByName(Merger) - Method in class org.tribuo.impl.BinaryFeaturesExample

reduceByName(Merger) - Method in class org.tribuo.impl.IndexedArrayExample

reduceByName(Merger) - Method in class org.tribuo.impl.ListExample

reduceByName(Merger) - Method in class org.tribuo.sequence.SequenceExample

Reduces the features in each example using the supplied Merger.

regenerateFeatureInfo() - Method in class org.tribuo.MutableDataset

Rebuilds the feature info by inspecting each example.

regenerateOutputInfo() - Method in class org.tribuo.MutableDataset

Rebuilds the output info by inspecting each example.

removeFeatures(List<Feature>) - Method in class org.tribuo.Example

Removes all features in this list from the Example.

removeFeatures(List<Feature>) - Method in class org.tribuo.impl.ArrayExample

removeFeatures(List<Feature>) - Method in class org.tribuo.impl.BinaryFeaturesExample

removeFeatures(List<Feature>) - Method in class org.tribuo.impl.IndexedArrayExample

removeFeatures(List<Feature>) - Method in class org.tribuo.impl.ListExample

removeFeatures(List<Feature>) - Method in class org.tribuo.sequence.SequenceExample

Removes the features in the supplied list from each example contained in this sequence.

rename(String) - Method in class org.tribuo.CategoricalIDInfo

rename(String) - Method in class org.tribuo.CategoricalInfo

rename(String) - Method in class org.tribuo.RealIDInfo

rename(String) - Method in class org.tribuo.RealInfo

rename(String) - Method in interface org.tribuo.VariableInfo

Rename generates a fresh VariableInfo with the new name.

reset() - Method in class org.tribuo.util.MeanVarianceAccumulator

Resets this accumulator to the starting state.

RESOURCE_HASH - Static variable in interface org.tribuo.provenance.DataSourceProvenance

The name of the provenance field for the resource hash.

rng - Variable in class org.tribuo.ensemble.BaggingTrainer

rng - Variable in class org.tribuo.evaluation.KFoldSplitter

ROUNDROBIN - Enum constant in enum org.tribuo.datasource.AggregateDataSource.IterationOrder

Round-robins the iterators (i.e., chooses one from each in turn).

S

sampleFromCDF(double[], Random) - Static method in class org.tribuo.util.Util

Samples an index from the supplied cdf.

sampleFromCDF(double[], SplittableRandom) - Static method in class org.tribuo.util.Util

Samples an index from the supplied cdf.

sampleInts(Random, int, int) - Static method in class org.tribuo.util.Util

Samples an array of ints from the supplied rng in [0,range).

sampleStandardDeviation(Collection<V>) - Static method in class org.tribuo.util.Util

Computes the sample standard deviation of the collection.

sampleVariance(Collection<V>) - Static method in class org.tribuo.util.Util

Computes the sample variance of the collection.

save(Path, boolean) - Method in class org.tribuo.datasource.IDXDataSource.IDXData

Writes out this IDXData to the specified path.

saveONNXModel(String, long, Path) - Method in interface org.tribuo.ONNXExportable

Exports this Model as an ONNX file.

seed - Variable in class org.tribuo.ensemble.BaggingTrainer

seed - Variable in class org.tribuo.evaluation.KFoldSplitter

SequenceDataset<T extends Output<T>> - Class in org.tribuo.sequence

A class for sets of data, which are used to train and evaluate classifiers.

SequenceDataset(DataProvenance, OutputFactory<T>) - Constructor for class org.tribuo.sequence.SequenceDataset

SequenceDataSource<T extends Output<T>> - Interface in org.tribuo.sequence

A interface for things that can be given to a SequenceDataset's constructor.

SequenceEvaluation<T extends Output<T>> - Interface in org.tribuo.sequence

An immutable evaluation of a specific sequence model and dataset.

SequenceEvaluator<T extends Output<T>,E extends SequenceEvaluation<T>> - Interface in org.tribuo.sequence

An evaluation factory which produces immutable SequenceEvaluations of a given SequenceDataset using the given SequenceModel.

SequenceExample<T extends Output<T>> - Class in org.tribuo.sequence

A sequence of examples, used for sequence classification.

SequenceExample() - Constructor for class org.tribuo.sequence.SequenceExample

Creates an empty sequence example.

SequenceExample(List<Example<T>>) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a sequence example from the list of examples.

SequenceExample(List<Example<T>>, float) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a sequence example from the list of examples, setting the weight.

SequenceExample(List<T>, List<? extends List<? extends Feature>>) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a sequence example from the supplied outputs and list of list of features.

SequenceExample(List<T>, List<? extends List<? extends Feature>>, boolean) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a sequence example from the supplied weight, outputs and list of list of features.

SequenceExample(List<T>, List<? extends List<? extends Feature>>, float) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a sequence example from the supplied weight, outputs and list of list of features.

SequenceExample(List<T>, List<? extends List<? extends Feature>>, float, boolean) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a sequence example from the supplied weight, outputs and list of list of features.

SequenceExample(SequenceExample<T>) - Constructor for class org.tribuo.sequence.SequenceExample

Creates a deep copy of the supplied sequence example.

SequenceModel<T extends Output<T>> - Class in org.tribuo.sequence

A prediction model, which is used to predict outputs for unseen instances.

SequenceModel(String, ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>) - Constructor for class org.tribuo.sequence.SequenceModel

Builds a SequenceModel.

SequenceModelExplorer - Class in org.tribuo.sequence

A CLI for interacting with a SequenceModel.

SequenceModelExplorer() - Constructor for class org.tribuo.sequence.SequenceModelExplorer

Builds a sequence model explorer shell.

SequenceModelExplorer.SequenceModelExplorerOptions - Class in org.tribuo.sequence

Command line options.

SequenceModelExplorerOptions() - Constructor for class org.tribuo.sequence.SequenceModelExplorer.SequenceModelExplorerOptions

SequenceTrainer<T extends Output<T>> - Interface in org.tribuo.sequence

An interface for things that can train sequence prediction models.

SEQUENTIAL - Enum constant in enum org.tribuo.datasource.AggregateDataSource.IterationOrder

Iterates each dataset sequentially, in the order of the sources list.

serializeProvenance(ModelProvenance) - Method in interface org.tribuo.ONNXExportable

Serializes the model provenance to a String.

SERIALIZER - Static variable in interface org.tribuo.ONNXExportable

The provenance serializer.

set(Feature) - Method in class org.tribuo.Example

Overwrites the feature with the matching name.

set(Feature) - Method in class org.tribuo.impl.ArrayExample

set(Feature) - Method in class org.tribuo.impl.BinaryFeaturesExample

set(Feature) - Method in class org.tribuo.impl.ListExample

setInvocationCount(int) - Method in class org.tribuo.ensemble.BaggingTrainer

setInvocationCount(int) - Method in class org.tribuo.hash.HashingTrainer

setInvocationCount(int) - Method in interface org.tribuo.Trainer

Set the internal state of the trainer to the provided number of invocations of the train method.

setInvocationCount(int) - Method in class org.tribuo.transform.TransformTrainer

setMetadataValue(String, Object) - Method in class org.tribuo.Example

Puts the specified key, value pair into the metadata.

setName(String) - Method in class org.tribuo.Model

Sets the model name.

setName(String) - Method in class org.tribuo.sequence.SequenceModel

Sets the model name.

setSalt(String) - Method in class org.tribuo.hash.HashCodeHasher

setSalt(String) - Method in class org.tribuo.hash.HashedFeatureMap

The salt is not serialised with the Model.

setSalt(String) - Method in class org.tribuo.hash.Hasher

The salt is transient, it must be set **to the same value as it was trained with** after the Model is deserialized.

setSalt(String) - Method in class org.tribuo.hash.MessageDigestHasher

setSalt(String) - Method in class org.tribuo.hash.ModHashCodeHasher

setStoreIndices(boolean) - Method in class org.tribuo.dataset.DatasetView

Set to true to store the indices in the provenance system.

setWeight(float) - Method in class org.tribuo.Example

Sets the example's weight.

setWeight(float) - Method in class org.tribuo.sequence.SequenceExample

Sets the weight of this sequence.

setWeights(Map<T, Float>) - Method in class org.tribuo.MutableDataset

Sets the weights in each example according to their output.

SHA1 - Enum constant in enum org.tribuo.hash.HashingOptions.ModelHashingType

Uses SHA-1.

SHA256 - Enum constant in enum org.tribuo.hash.HashingOptions.ModelHashingType

Uses SHA-256.

SHORT - Enum constant in enum org.tribuo.datasource.IDXDataSource.IDXType

A 16-bit integer.

shuffle(boolean) - Method in class org.tribuo.Dataset

Shuffles the indices, or stops shuffling them.

shuffle(ArrayList<T>, SplittableRandom) - Static method in class org.tribuo.util.Util

Shuffles an ArrayList like Collections.shuffle(java.util.List<?>) but using a SplittableRandom.

SimpleDataSourceProvenance - Class in org.tribuo.provenance

This class stores a String describing the data source, along with a timestamp.

SimpleDataSourceProvenance(String, OffsetDateTime, OutputFactory<T>) - Constructor for class org.tribuo.provenance.SimpleDataSourceProvenance

This constructor initialises the provenance using the supplied description, time and output factory.

SimpleDataSourceProvenance(String, OutputFactory<T>) - Constructor for class org.tribuo.provenance.SimpleDataSourceProvenance

This constructor initialises the provenance using the current time in the system timezone.

SimpleDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.SimpleDataSourceProvenance

Used for provenance deserialization.

SimpleTransform - Class in org.tribuo.transform.transformations

This is used for stateless functions such as exp, log, addition or multiplication by a constant.

SimpleTransform.Operation - Enum in org.tribuo.transform.transformations

Operations understood by this Transformation.

SimpleTransform.SimpleTransformProvenance - Class in org.tribuo.transform.transformations

Provenance for SimpleTransform.

SimpleTransformProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.transform.transformations.SimpleTransform.SimpleTransformProvenance

Deserialization constructor.

size - Variable in class org.tribuo.ImmutableFeatureMap

The number of features.

size - Variable in class org.tribuo.impl.ArrayExample

Number of valid features in this example.

size - Variable in class org.tribuo.impl.BinaryFeaturesExample

Number of valid features in this example.

size() - Method in class org.tribuo.dataset.DatasetView

Gets the size of the data set.

size() - Method in class org.tribuo.Dataset

Gets the size of the data set.

size() - Method in class org.tribuo.datasource.IDXDataSource

The number of examples loaded.

size() - Method in class org.tribuo.datasource.LibSVMDataSource

The number of examples.

size() - Method in class org.tribuo.datasource.ListDataSource

Number of examples.

size() - Method in class org.tribuo.Example

Return how many features are in this example.

size() - Method in class org.tribuo.FeatureMap

Returns the number of features in the domain.

size() - Method in class org.tribuo.ImmutableFeatureMap

size() - Method in class org.tribuo.impl.ArrayExample

size() - Method in class org.tribuo.impl.BinaryFeaturesExample

size() - Method in class org.tribuo.impl.ListExample

size() - Method in interface org.tribuo.OutputInfo

Returns the number of possible values this OutputInfo knows about.

size() - Method in class org.tribuo.sequence.SequenceDataset

Gets the size of the data set.

size() - Method in class org.tribuo.sequence.SequenceExample

Return how many examples are in this sequence.

size() - Method in class org.tribuo.transform.TransformerMap

Gets the size of the map.

SkeletalTrainerProvenance - Class in org.tribuo.provenance

The skeleton of a TrainerProvenance that extracts the configured parameters.

SkeletalTrainerProvenance(SkeletalConfiguredObjectProvenance.ExtractedInfo) - Constructor for class org.tribuo.provenance.SkeletalTrainerProvenance

SkeletalTrainerProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.SkeletalTrainerProvenance

SkeletalTrainerProvenance(SequenceTrainer<T>) - Constructor for class org.tribuo.provenance.SkeletalTrainerProvenance

SkeletalTrainerProvenance(Trainer<T>) - Constructor for class org.tribuo.provenance.SkeletalTrainerProvenance

SkeletalVariableInfo - Class in org.tribuo

Contains information about a feature and can be stored in the feature map in a Dataset.

SkeletalVariableInfo(String) - Constructor for class org.tribuo.SkeletalVariableInfo

Constructs a variable info with the supplied name.

SkeletalVariableInfo(String, int) - Constructor for class org.tribuo.SkeletalVariableInfo

Constructs a variable info with the supplied name and initial count.

sort() - Method in class org.tribuo.Example

Sorts the example by the string comparator.

sort() - Method in class org.tribuo.impl.ArrayExample

Sorts the feature list to maintain the lexicographic order invariant.

sort() - Method in class org.tribuo.impl.BinaryFeaturesExample

Sorts the feature list to maintain the lexicographic order invariant.

sort() - Method in class org.tribuo.impl.IndexedArrayExample

sort() - Method in class org.tribuo.impl.ListExample

Sorts the feature list to maintain the lexicographic order invariant.

sortedDifference(int[], int[]) - Static method in class org.tribuo.util.Util

Expects sorted input arrays.

sourceProvenance - Variable in class org.tribuo.Dataset

The provenance of the data source, extracted on construction.

sourceProvenance - Variable in class org.tribuo.sequence.SequenceDataset

The provenance of the data source, extracted on construction.

SparseModel<T extends Output<T>> - Class in org.tribuo

A model which uses a subset of the features it knows about to make predictions.

SparseModel(String, ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, boolean, Map<String, List<String>>) - Constructor for class org.tribuo.SparseModel

Constructs a sparse model from the supplied arguments.

SparseTrainer<T extends Output<T>> - Interface in org.tribuo

Denotes this trainer emits a SparseModel.

split(Dataset<T>, boolean) - Method in class org.tribuo.evaluation.KFoldSplitter

Splits a dataset into k consecutive folds; for each fold, the remaining k-1 folds form the training set.

SplitDataSourceProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance

Deserialization constructor.

standardize(double[]) - Method in class org.tribuo.util.MeanVarianceAccumulator

Standardizes the input using the computed mean and variance in this accumulator.

standardize(double[], double, double) - Static method in class org.tribuo.util.Util

Standardizes the input so it has zero mean and unit variance, i.e., subtracts the mean and divides by the variance.

standardizeInPlace(double[]) - Method in class org.tribuo.util.MeanVarianceAccumulator

Standardizes the input using the computed mean and variance in this accumulator.

standardizeInPlace(double[], double, double) - Static method in class org.tribuo.util.Util

Standardizes the input so it has zero mean and unit variance, i.e., subtracts the mean and divides by the variance.

startShell() - Method in class org.tribuo.ModelExplorer

Start the command shell

startShell() - Method in class org.tribuo.sequence.SequenceModelExplorer

Start the command shell

STD_DEVS - Enum constant in enum org.tribuo.transform.transformations.BinningTransformation.BinningType

Creates bins based on the mean and then +/- multiples of standard deviations.

stdDevs(int) - Static method in class org.tribuo.transform.transformations.BinningTransformation

Returns a BinningTransformation which generates bins based on the observed standard deviation of the training data.

storeIndicesInProvenance() - Method in class org.tribuo.dataset.DatasetView

Are the indices stored in the provenance system.

sub - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Subtracts the specified constant.

sub(double) - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that subtracts the operand from each value.

sum(double[]) - Static method in class org.tribuo.util.Util

Computes the sum of the input vector.

sum(double[], int) - Static method in class org.tribuo.util.Util

Computes the sum of the input vector up to length elements.

sum(float[]) - Static method in class org.tribuo.util.Util

Computes the sum of the input vector.

sum(float[], int) - Static method in class org.tribuo.util.Util

Computes the sum of the input vector up to length elements.

sum(int[], float[]) - Static method in class org.tribuo.util.Util

Computes the sum of the specified indices in the input array.

sum(int[], int, float[]) - Static method in class org.tribuo.util.Util

Computes the sum of the specified indices in the input array.

summarize(List<? extends EvaluationMetric<T, C>>, Model<T>, List<Prediction<T>>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize model performance on dataset across several metrics.

summarize(List<? extends EvaluationMetric<T, C>>, Model<T>, Dataset<T>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize model performance on dataset across several metrics.

summarize(List<R>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize all fields of a list of evaluations.

summarize(List<R>, ToDoubleFunction<R>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize a single field of an evaluation across several evaluations.

summarize(Evaluator<T, R>, List<? extends Model<T>>, Dataset<T>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize performance using the supplied evaluator across several models on one dataset.

summarize(Evaluator<T, R>, Model<T>, List<? extends Dataset<T>>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize performance according to evaluator for a single model across several datasets.

summarize(EvaluationMetric<T, C>, List<? extends Model<T>>, Dataset<T>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize performance w.r.t.

summarize(EvaluationMetric<T, C>, Model<T>, List<? extends Dataset<T>>) - Static method in class org.tribuo.evaluation.EvaluationAggregator

Summarize a model's performance w.r.t.

sumSquares - Variable in class org.tribuo.RealInfo

The sum of the squared feature values (used to compute the variance).

T

TAG_VERSION - Static variable in class org.tribuo.Tribuo

Any tag on the version number, e.g., SNAPSHOT, ALPHA, etc.

test - Variable in class org.tribuo.evaluation.KFoldSplitter.TrainTestFold

The testing fold.

threshold - Enum constant in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Min and max thresholds applied to the input.

threshold(double, double) - Static method in class org.tribuo.transform.transformations.SimpleTransform

Generate a SimpleTransform that sets values below min to min, and values above max to max.

THRESHOLD - Static variable in class org.tribuo.CategoricalInfo

The default threshold for converting a categorical info into a RealInfo.

time - Variable in class org.tribuo.provenance.ModelProvenance

TimestampedTrainerProvenance - Class in org.tribuo.provenance.impl

A TrainerProvenance with a timestamp, used when there was no trainer involved in model construction (e.g., creating an EnsembleModel from existing models).

TimestampedTrainerProvenance() - Constructor for class org.tribuo.provenance.impl.TimestampedTrainerProvenance

Creates a TimestampedTrainerProvenance, tracking the creation time and Tribuo version.

TimestampedTrainerProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.impl.TimestampedTrainerProvenance

Used for deserializing provenances from the marshalled form.

toDoubleArray(float[]) - Static method in class org.tribuo.util.Util

Convert an array of floats to an array of doubles.

toFloatArray(double[]) - Static method in class org.tribuo.util.Util

Convert an array of doubles to an array of floats.

toHTML() - Method in class org.tribuo.Feature

Returns the feature name formatted as a table cell.

toHTML(Pair<String, Double>) - Static method in class org.tribuo.util.HTMLOutput

Formats a pair as a HTML table entry.

toMaxLabels(List<Prediction<T>>) - Static method in class org.tribuo.sequence.SequenceModel

Extracts a list of the predicted outputs from the list of prediction objects.

topFeatures(CommandInterpreter, int) - Method in class org.tribuo.ModelExplorer

Displays the top n features.

topFeatures(CommandInterpreter, int) - Method in class org.tribuo.sequence.SequenceModelExplorer

Shows the top n features in this model.

toPrimitiveDouble(List<Double>) - Static method in class org.tribuo.util.Util

Converts a boxed list of doubles into an array of primitive doubles.

toPrimitiveDoubleFromInteger(List<Integer>) - Static method in class org.tribuo.util.Util

Converts a boxed list of integers into an array of primitive doubles.

toPrimitiveFloat(List<Float>) - Static method in class org.tribuo.util.Util

Converts a boxed list of floats into an array of primitive floats.

toPrimitiveInt(List<Integer>) - Static method in class org.tribuo.util.Util

Converts a boxed list of integers into an array of primitive ints.

toPrimitiveLong(List<Long>) - Static method in class org.tribuo.util.Util

Converts a boxed list of longs into an array of primitive longs.

toReadableString() - Method in class org.tribuo.FeatureMap

Same as the toString, but ordered by name, and with newlines.

toReadableString() - Method in interface org.tribuo.OutputInfo

Generates a String form of this OutputInfo.

toString() - Method in class org.tribuo.CategoricalIDInfo

toString() - Method in class org.tribuo.CategoricalInfo

toString() - Method in class org.tribuo.dataset.DatasetView.DatasetViewProvenance

This toString doesn't put the indices in the string, as it's likely to be huge.

toString() - Method in class org.tribuo.dataset.DatasetView

toString() - Method in class org.tribuo.Dataset

toString() - Method in class org.tribuo.datasource.AggregateConfigurableDataSource

toString() - Method in class org.tribuo.datasource.AggregateDataSource.AggregateDataSourceProvenance

toString() - Method in class org.tribuo.datasource.AggregateDataSource

toString() - Method in class org.tribuo.datasource.IDXDataSource

toString() - Method in class org.tribuo.datasource.LibSVMDataSource

toString() - Method in class org.tribuo.datasource.ListDataSource

toString() - Method in class org.tribuo.ensemble.BaggingTrainer

toString() - Method in class org.tribuo.evaluation.DescriptiveStats

toString() - Method in class org.tribuo.evaluation.metrics.MetricID

toString() - Method in class org.tribuo.evaluation.metrics.MetricTarget

toString() - Method in class org.tribuo.evaluation.TrainTestSplitter.SplitDataSourceProvenance

toString() - Method in class org.tribuo.Feature

toString() - Method in class org.tribuo.FeatureMap

toString() - Method in class org.tribuo.hash.HashCodeHasher.HashCodeHasherProvenance

toString() - Method in class org.tribuo.hash.HashCodeHasher

toString() - Method in class org.tribuo.hash.MessageDigestHasher.MessageDigestHasherProvenance

toString() - Method in class org.tribuo.hash.MessageDigestHasher

toString() - Method in class org.tribuo.hash.ModHashCodeHasher.ModHashCodeHasherProvenance

toString() - Method in class org.tribuo.hash.ModHashCodeHasher

toString() - Method in class org.tribuo.ImmutableDataset

toString() - Method in class org.tribuo.impl.ArrayExample

toString() - Method in class org.tribuo.impl.BinaryFeaturesExample

toString() - Method in class org.tribuo.impl.ListExample

toString() - Method in class org.tribuo.Model

toString() - Method in class org.tribuo.MutableDataset

toString() - Method in class org.tribuo.Prediction

toString() - Method in class org.tribuo.provenance.DatasetProvenance

toString() - Method in class org.tribuo.provenance.EnsembleModelProvenance

toString() - Method in class org.tribuo.provenance.EvaluationProvenance

toString() - Method in class org.tribuo.provenance.impl.EmptyDatasetProvenance

toString() - Method in class org.tribuo.provenance.impl.EmptyDataSourceProvenance

toString() - Method in class org.tribuo.provenance.impl.EmptyTrainerProvenance

toString() - Method in class org.tribuo.provenance.impl.TimestampedTrainerProvenance

toString() - Method in class org.tribuo.provenance.ModelProvenance

toString() - Method in class org.tribuo.provenance.SimpleDataSourceProvenance

toString() - Method in class org.tribuo.RealIDInfo

toString() - Method in class org.tribuo.RealInfo

toString() - Method in class org.tribuo.sequence.HashingSequenceTrainer

toString() - Method in class org.tribuo.sequence.ImmutableSequenceDataset

toString() - Method in class org.tribuo.sequence.IndependentSequenceTrainer

toString() - Method in class org.tribuo.sequence.MutableSequenceDataset

toString() - Method in class org.tribuo.sequence.SequenceDataset

toString() - Method in class org.tribuo.sequence.SequenceModel

toString() - Method in class org.tribuo.SkeletalVariableInfo

toString() - Method in class org.tribuo.transform.TransformationMap

toString() - Method in class org.tribuo.transform.transformations.BinningTransformation

toString() - Method in class org.tribuo.transform.transformations.LinearScalingTransformation

toString() - Method in class org.tribuo.transform.transformations.MeanStdDevTransformation

toString() - Method in class org.tribuo.transform.transformations.SimpleTransform

toString() - Method in class org.tribuo.transform.TransformerMap

toString() - Method in class org.tribuo.transform.TransformerMap.TransformerMapProvenance

toString() - Method in class org.tribuo.util.IntDoublePair

toString() - Method in class org.tribuo.util.MeanVarianceAccumulator

totalObservations - Variable in class org.tribuo.CategoricalInfo

The total number of observations (including zeros).

totalSize() - Method in class org.tribuo.evaluation.TrainTestSplitter

The total amount of data in train and test combined.

train - Variable in class org.tribuo.evaluation.KFoldSplitter.TrainTestFold

The training fold.

train(Dataset<T>) - Method in class org.tribuo.ensemble.BaggingTrainer

train(Dataset<T>) - Method in interface org.tribuo.SparseTrainer

Trains a sparse predictive model using the examples in the given data set.

train(Dataset<T>) - Method in interface org.tribuo.Trainer

Trains a predictive model using the examples in the given data set.

train(Dataset<T>, Map<String, Provenance>) - Method in class org.tribuo.ensemble.BaggingTrainer

train(Dataset<T>, Map<String, Provenance>) - Method in class org.tribuo.hash.HashingTrainer

This clones the Dataset, hashes each of the examples and rewrites their feature ids before passing it to the inner trainer.

train(Dataset<T>, Map<String, Provenance>) - Method in interface org.tribuo.SparseTrainer

Trains a sparse predictive model using the examples in the given data set.

train(Dataset<T>, Map<String, Provenance>) - Method in interface org.tribuo.Trainer

Trains a predictive model using the examples in the given data set.

train(Dataset<T>, Map<String, Provenance>) - Method in class org.tribuo.transform.TransformTrainer

train(Dataset<T>, Map<String, Provenance>, int) - Method in class org.tribuo.ensemble.BaggingTrainer

train(Dataset<T>, Map<String, Provenance>, int) - Method in class org.tribuo.hash.HashingTrainer

train(Dataset<T>, Map<String, Provenance>, int) - Method in interface org.tribuo.SparseTrainer

Trains a predictive model using the examples in the given data set.

train(Dataset<T>, Map<String, Provenance>, int) - Method in interface org.tribuo.Trainer

Trains a predictive model using the examples in the given data set.

train(Dataset<T>, Map<String, Provenance>, int) - Method in class org.tribuo.transform.TransformTrainer

train(SequenceDataset<T>) - Method in interface org.tribuo.sequence.SequenceTrainer

Trains a sequence prediction model using the examples in the given data set.

train(SequenceDataset<T>, Map<String, Provenance>) - Method in class org.tribuo.sequence.HashingSequenceTrainer

This clones the SequenceDataset, hashes each of the examples and rewrites their feature ids before passing it to the inner trainer.

train(SequenceDataset<T>, Map<String, Provenance>) - Method in class org.tribuo.sequence.IndependentSequenceTrainer

train(SequenceDataset<T>, Map<String, Provenance>) - Method in interface org.tribuo.sequence.SequenceTrainer

Trains a sequence prediction model using the examples in the given data set.

TRAIN_INVOCATION_COUNT - Static variable in interface org.tribuo.provenance.TrainerProvenance

The name of the provenance field recording the train invocation count.

Trainer<T extends Output<T>> - Interface in org.tribuo

An interface for things that can train predictive models.

TRAINER - Static variable in class org.tribuo.provenance.ModelProvenance

trainerProvenance - Variable in class org.tribuo.provenance.ModelProvenance

TrainerProvenance - Interface in org.tribuo.provenance

A tag interface for trainer provenances.

TrainerProvenanceImpl - Class in org.tribuo.provenance.impl

An implementation of TrainerProvenance that delegates everything to SkeletalTrainerProvenance.

TrainerProvenanceImpl(Map<String, Provenance>) - Constructor for class org.tribuo.provenance.impl.TrainerProvenanceImpl

Construct a TrainerProvenance by extracting the necessary fields from the supplied map.

TrainerProvenanceImpl(SequenceTrainer<T>) - Constructor for class org.tribuo.provenance.impl.TrainerProvenanceImpl

Construct a TrainerProvenance by reading all the configurable parameters along with the train call count.

TrainerProvenanceImpl(Trainer<T>) - Constructor for class org.tribuo.provenance.impl.TrainerProvenanceImpl

Construct a TrainerProvenance by reading all the configurable parameters along with the train call count.

TRAINING_TIME - Static variable in class org.tribuo.provenance.ModelProvenance

trainInvocationCounter - Variable in class org.tribuo.ensemble.BaggingTrainer

trainSingleModel(Dataset<T>, ImmutableFeatureMap, ImmutableOutputInfo<T>, int, Map<String, Provenance>, int) - Method in class org.tribuo.ensemble.BaggingTrainer

Trains a single model.

TrainTestSplitter<T extends Output<T>> - Class in org.tribuo.evaluation

Splits data into training and testing sets.

TrainTestSplitter(DataSource<T>) - Constructor for class org.tribuo.evaluation.TrainTestSplitter

Creates a splitter that splits a dataset 70/30 train and test using a default seed.

TrainTestSplitter(DataSource<T>, double, long) - Constructor for class org.tribuo.evaluation.TrainTestSplitter

Creates a splitter that will split the given data set into a training and testing set.

TrainTestSplitter(DataSource<T>, long) - Constructor for class org.tribuo.evaluation.TrainTestSplitter

Creates a splitter that splits a dataset 70/30 train and test.

TrainTestSplitter.SplitDataSourceProvenance - Class in org.tribuo.evaluation

Provenance for a split data source.

transform(double) - Method in class org.tribuo.transform.transformations.SimpleTransform

Apply the operation to the input.

transform(double) - Method in interface org.tribuo.transform.Transformer

Applies the transformation to the supplied input value.

transform(TransformerMap) - Method in class org.tribuo.Example

Transforms this example by applying the transformations from the supplied TransformerMap.

transform(TransformerMap) - Method in class org.tribuo.impl.ArrayExample

transform(TransformerMap) - Method in class org.tribuo.impl.BinaryFeaturesExample

transform(TransformerMap) - Method in class org.tribuo.impl.ListExample

transform(TransformerMap) - Method in class org.tribuo.MutableDataset

Applies all the transformations from the TransformerMap to this dataset.

Transformation - Interface in org.tribuo.transform

An interface representing a class of transformations which can be applied to a feature.

TransformationList(List<Transformation>) - Constructor for class org.tribuo.transform.TransformationMap.TransformationList

Constructs a transformation list.

TransformationMap - Class in org.tribuo.transform

A carrier type for a set of transformations to be applied to a Dataset.

TransformationMap(List<Transformation>) - Constructor for class org.tribuo.transform.TransformationMap

Creates a TransformationMap with only global transformations.

TransformationMap(List<Transformation>, Map<String, List<Transformation>>) - Constructor for class org.tribuo.transform.TransformationMap

Creates a transformation map from the supplied global transformation list, and per feature transformations.

TransformationMap(Map<String, List<Transformation>>) - Constructor for class org.tribuo.transform.TransformationMap

Creates a TransformationMap with only per feature transformations.

TransformationMap.TransformationList - Class in org.tribuo.transform

A carrier type as OLCUT does not support nested generics.

TransformationProvenance - Interface in org.tribuo.transform

A tag interface for provenances in the transformation system.

transformDataset(Dataset<T>) - Method in class org.tribuo.transform.TransformerMap

Copies the supplied dataset and applies the transformers to each example in it.

transformDataset(Dataset<T>, boolean) - Method in class org.tribuo.transform.TransformerMap

Copies the supplied dataset and applies the transformers to each example in it.

TransformedModel<T extends Output<T>> - Class in org.tribuo.transform

Wraps a Model with it's TransformerMap so all Examples are transformed appropriately before the model makes predictions.

Transformer - Interface in org.tribuo.transform

A fitted Transformation which can apply a transform to the input value.

TransformerMap - Class in org.tribuo.transform

A collection of Transformers which can be applied to a Dataset or Example.

TransformerMap(Map<String, List<Transformer>>, DatasetProvenance, ConfiguredObjectProvenance) - Constructor for class org.tribuo.transform.TransformerMap

Constructs a transformer map which encapsulates a set of transformers that can be applied to features.

TransformerMap.TransformerMapProvenance - Class in org.tribuo.transform

Provenance for TransformerMap.

TransformerMapProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.transform.TransformerMap.TransformerMapProvenance

Deserialization constructor.

transformExample(Example<T>) - Method in class org.tribuo.transform.TransformerMap

Copies the supplied example and applies the transformers to it.

transformExample(Example<T>, List<String>) - Method in class org.tribuo.transform.TransformerMap

Copies the supplied example and applies the transformers to it.

transformProvenances - Variable in class org.tribuo.MutableDataset

The provenances of the transformations applied to this dataset.

TransformStatistics - Interface in org.tribuo.transform

An interface for the statistics that need to be collected for a specific Transformation on a single feature.

TransformTrainer<T extends Output<T>> - Class in org.tribuo.transform

A Trainer which encapsulates another trainer plus a TransformationMap object to apply to each Dataset before training each Model.

TransformTrainer(Trainer<T>, TransformationMap) - Constructor for class org.tribuo.transform.TransformTrainer

Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.

TransformTrainer(Trainer<T>, TransformationMap, boolean) - Constructor for class org.tribuo.transform.TransformTrainer

Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.

TransformTrainer(Trainer<T>, TransformationMap, boolean, boolean) - Constructor for class org.tribuo.transform.TransformTrainer

Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.

Tribuo - Class in org.tribuo

This class stores the current Tribuo version, along with other compile time information.

Tribuo() - Constructor for class org.tribuo.Tribuo

TRIBUO_VERSION_STRING - Static variable in class org.tribuo.provenance.ModelProvenance

TRIBUO_VERSION_STRING - Static variable in interface org.tribuo.provenance.TrainerProvenance

The name of the provenance field recording the Tribuo version used in training.

U

UBYTE - Enum constant in enum org.tribuo.datasource.IDXDataSource.IDXType

An unsigned byte.

uniformSample(SplittableRandom) - Method in class org.tribuo.CategoricalInfo

uniformSample(SplittableRandom) - Method in class org.tribuo.RealInfo

uniformSample(SplittableRandom) - Method in interface org.tribuo.VariableInfo

Sample a value uniformly from the range of this variable.

UNKNOWN_VERSION - Static variable in class org.tribuo.provenance.ModelProvenance

utf8Charset - Static variable in class org.tribuo.hash.MessageDigestHasher

Alias for StandardCharsets.UTF_8.

Util - Class in org.tribuo.util

Ye olde util class.

V

val1 - Variable in class org.tribuo.util.MurmurHash3.LongPair

First value.

val2 - Variable in class org.tribuo.util.MurmurHash3.LongPair

Second value.

validate(Class<? extends Output<?>>) - Method in class org.tribuo.Dataset

Validates that this Dataset does in fact contain the supplied output type.

validate(Class<? extends Output<?>>) - Method in class org.tribuo.Model

Validates that this Model does in fact support the supplied output type.

validate(Class<? extends Output<?>>) - Method in class org.tribuo.sequence.SequenceModel

Validates that this Model does in fact support the supplied output type.

validateExample() - Method in class org.tribuo.Example

Checks the example to see if all the feature names are unique, the feature values are not NaN, and there is at least one feature.

validateExample() - Method in class org.tribuo.impl.ArrayExample

validateExample() - Method in class org.tribuo.impl.BinaryFeaturesExample

validateExample() - Method in class org.tribuo.impl.ListExample

validateExample() - Method in class org.tribuo.sequence.SequenceExample

Checks that each Example in this sequence is valid.

validateMapping(Map<T, Integer>) - Static method in interface org.tribuo.OutputFactory

Validates that the mapping can be used as an output info, i.e.

validateSalt(String) - Static method in class org.tribuo.hash.Hasher

Salt validation is currently a test to see if the string is longer than Hasher.MIN_LENGTH.

validateTransformations(FeatureMap) - Method in class org.tribuo.transform.TransformationMap

Checks that a given transformation set doesn't have conflicts when applied to the supplied featureMap.

value - Variable in enum org.tribuo.datasource.IDXDataSource.IDXType

The encoded byte value.

value - Variable in class org.tribuo.Feature

The feature value.

value - Variable in class org.tribuo.impl.IndexedArrayExample.FeatureTuple

The feature value.

value - Variable in class org.tribuo.util.IntDoublePair

The value.

valueCounts - Variable in class org.tribuo.CategoricalInfo

The occurrence counts of each value.

valueOf(String) - Static method in enum org.tribuo.datasource.AggregateDataSource.IterationOrder

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tribuo.datasource.IDXDataSource.IDXType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tribuo.evaluation.metrics.EvaluationMetric.Average

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tribuo.hash.HashingOptions.ModelHashingType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tribuo.transform.transformations.BinningTransformation.BinningType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Returns the enum constant of this type with the specified name.

values - Variable in class org.tribuo.CategoricalInfo

The values array.

values() - Static method in enum org.tribuo.datasource.AggregateDataSource.IterationOrder

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tribuo.datasource.IDXDataSource.IDXType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Method in class org.tribuo.evaluation.DescriptiveStats

Returns a copy of the values.

values() - Static method in enum org.tribuo.evaluation.metrics.EvaluationMetric.Average

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tribuo.hash.HashingOptions.ModelHashingType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tribuo.transform.transformations.BinningTransformation.BinningType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tribuo.transform.transformations.SimpleTransform.Operation

Returns an array containing the constants of this enum type, in the order they are declared.

VariableIDInfo - Interface in org.tribuo

Adds an id number to a VariableInfo.

VariableInfo - Interface in org.tribuo

A VariableInfo subclass contains information about a feature and its observed values.

vectorNorm(double[]) - Static method in class org.tribuo.util.Util

Computes the vector two-norm.

VERSION - Static variable in class org.tribuo.Tribuo

The full Tribuo version string.

versionString - Variable in class org.tribuo.provenance.ModelProvenance

W

weight - Variable in class org.tribuo.Example

The weight associated with this example.

WeightedEnsembleModel<T extends Output<T>> - Class in org.tribuo.ensemble

An ensemble model that uses weights to combine the ensemble member predictions.

WeightedEnsembleModel(String, EnsembleModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, List<Model<T>>, EnsembleCombiner<T>) - Constructor for class org.tribuo.ensemble.WeightedEnsembleModel

Unless you are implementing a Trainer you should not use this constructor directly.

WeightedEnsembleModel(String, EnsembleModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, List<Model<T>>, EnsembleCombiner<T>, float[]) - Constructor for class org.tribuo.ensemble.WeightedEnsembleModel

Unless you are implementing a Trainer you should not use this constructor directly.

WeightedExamples - Interface in org.tribuo

Tag interface denoting that a Trainer can use example weights.

weightedMean(double[], double[]) - Static method in class org.tribuo.util.Util

Returns the weighted mean of the input.

weightedMean(double[], float[], int) - Static method in class org.tribuo.util.Util

Computes the weighted mean of the first length elements of the array.

weightedSum(double[], float[], int) - Static method in class org.tribuo.util.Util

Computes the weighted sum of the first length elements of the array.

weights - Variable in class org.tribuo.ensemble.WeightedEnsembleModel

writeLibSVMFormat(Dataset<T>, PrintStream, boolean, Function<T, Number>) - Static method in class org.tribuo.datasource.LibSVMDataSource

Writes out a dataset in LibSVM format.

writeONNXGraph(ONNXRef<?>) - Method in class org.tribuo.ensemble.WeightedEnsembleModel

writeONNXGraph(ONNXRef<?>) - Method in interface org.tribuo.ONNXExportable

Writes this Model into OnnxMl.GraphProto.Builder inside the input's ONNXContext.

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