Uses of Interface
org.tribuo.protos.ProtoSerializable

Packages that use ProtoSerializable

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.anomaly	Provides classes and infrastructure for anomaly detection problems.
org.tribuo.anomaly.liblinear	Provides an interface to LibLinear-java for anomaly detection problems.
org.tribuo.anomaly.libsvm	Provides an interface to LibSVM for anomaly detection problems.
org.tribuo.classification	Provides classes and infrastructure for multiclass classification problems.
org.tribuo.classification.baseline	Provides simple baseline multiclass classifiers.
org.tribuo.classification.ensemble	Provides majority vote ensemble combiners for classification along with an implementation of multiclass Adaboost.
org.tribuo.classification.liblinear	Provides an interface to LibLinear-java for classification problems.
org.tribuo.classification.libsvm	Provides an interface to LibSVM for classification problems.
org.tribuo.classification.mnb	Provides an implementation of multinomial naive bayes (i.e., naive bayes for non-negative count data).
org.tribuo.classification.sequence	Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
org.tribuo.classification.sequence.viterbi	Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any Label based classification model.
org.tribuo.classification.sgd.crf	Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
org.tribuo.classification.sgd.fm	Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
org.tribuo.classification.sgd.kernel	Provides a SGD implementation of a Kernel SVM using the Pegasos algorithm.
org.tribuo.classification.sgd.linear	Provides an implementation of a classification linear model using Stochastic Gradient Descent.
org.tribuo.classification.xgboost	Provides an interface to XGBoost for classification problems.
org.tribuo.clustering	Provides classes and infrastructure for working with clustering problems.
org.tribuo.clustering.hdbscan	Provides an implementation of HDBSCAN*.
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.
org.tribuo.common.liblinear	Provides base classes for using liblinear from Tribuo.
org.tribuo.common.libsvm	The base interface to LibSVM.
org.tribuo.common.nearest	Provides a K-Nearest Neighbours implementation which works across all Tribuo Output types.
org.tribuo.common.sgd	Provides the base classes for models trained with stochastic gradient descent.
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.common.xgboost	Provides abstract classes for interfacing with XGBoost abstracting away all the Output dependent parts.
org.tribuo.dataset	Provides utility datasets which subsample or otherwise transform the wrapped dataset.
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.hash	Provides the base interface and implementations of the Model hashing which obscures the feature names stored in a model.
org.tribuo.impl	Provides implementations of base classes and interfaces from org.tribuo.
org.tribuo.interop	This package contains the abstract implementation of an external model trained by something outside of Tribuo.
org.tribuo.interop.oci	Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.onnx	This package contains a Tribuo wrapper around ONNX Runtime.
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.interop.tensorflow.sequence	Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.
org.tribuo.math	Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
org.tribuo.math.distance	An interface for distance computations between two SGDVector instances along with some standard implementations.
org.tribuo.math.kernel	Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.neighbour	Provides nearest neighbour query functionality.
org.tribuo.math.neighbour.bruteforce	Provides a brute-force nearest neighbour query implementation.
org.tribuo.math.neighbour.kdtree	Provides a k-d tree nearest neighbour query implementation.
org.tribuo.math.optimisers.util	Provides some utility tensors for use in gradient optimisers.
org.tribuo.math.util	Provides math related util classes.
org.tribuo.multilabel	Provides classes and infrastructure for working with multi-label classification problems.
org.tribuo.multilabel.baseline	Provides implementations of binary relevance based multi-label classification algorithms.
org.tribuo.multilabel.ensemble	Provides a multi-label ensemble combiner that performs a (possibly weighted) majority vote among each label independently, along with an implementation of classifier chain ensembles.
org.tribuo.multilabel.sgd.fm	Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
org.tribuo.multilabel.sgd.linear	Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
org.tribuo.protos	Classes which control the serialization of Tribuo objects to and from protocol buffers.
org.tribuo.regression	Provides classes and infrastructure for regression problems with single or multiple output dimensions.
org.tribuo.regression.baseline	Provides simple baseline regression predictors.
org.tribuo.regression.ensemble	Provides EnsembleCombiner implementations for working with multi-output regression problems.
org.tribuo.regression.impl	Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.liblinear	Provides an interface to liblinear for regression problems.
org.tribuo.regression.libsvm	Provides an interface to LibSVM for regression problems.
org.tribuo.regression.rtree	Provides an implementation of decision trees for regression problems.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.
org.tribuo.regression.slm	Provides implementations of sparse linear regression using various forms of regularisation penalty.
org.tribuo.regression.xgboost	Provides an interface to XGBoost for regression problems.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.
org.tribuo.transform	Provides infrastructure for applying transformations to a Dataset.
org.tribuo.transform.transformations	Provides implementations of standard transformations like binning, scaling, taking logs and exponents.

Uses of ProtoSerializable in org.tribuo

Subinterfaces of ProtoSerializable in org.tribuo

Modifier and Type	Interface	Description
interface	ImmutableOutputInfo<T extends Output<T>>	An OutputInfo that is fixed, and contains an id number for each valid output.
interface	MutableOutputInfo<T extends Output<T>>	A mutable OutputInfo that can record observed output values.
interface	Output<T extends Output<T>>	Output is the root interface for the supported prediction types.
interface	OutputFactory<T extends Output<T>>	An interface associated with a specific Output, which can generate the appropriate Output subclass, and OutputInfo subclass.
interface	OutputInfo<T extends Output<T>>	Tracks relevant properties of the appropriate Output subclass.
interface	VariableIDInfo	Adds an id number to a VariableInfo.
interface	VariableInfo	A VariableInfo subclass contains information about a feature and its observed values.

Classes in org.tribuo that implement ProtoSerializable

Modifier and Type	Class	Description
class	CategoricalIDInfo	Same as a CategoricalInfo, but with an additional int id field.
class	CategoricalInfo	Stores information about Categorical features.
class	Dataset<T extends Output<T>>	A class for sets of data, which are used to train and evaluate classifiers.
class	Example<T extends Output<T>>	An example used for training and evaluation.
class	FeatureMap	A map from Strings to VariableInfo objects storing information about a feature.
class	ImmutableDataset<T extends Output<T>>	This is a Dataset which has an ImmutableFeatureMap to store the feature information.
class	ImmutableFeatureMap	ImmutableFeatureMap is used when unknown features should not be added to the FeatureMap.
class	Model<T extends Output<T>>	A prediction model, which is used to predict outputs for unseen instances.
class	MutableDataset<T extends Output<T>>	A MutableDataset is a Dataset with a MutableFeatureMap which grows over time.
class	MutableFeatureMap	A feature map that can record new feature value observations.
class	Prediction<T extends Output<T>>	A prediction made by a Model.
class	RealIDInfo	Same as a RealInfo, but with an additional int id field.
class	RealInfo	Stores information about real valued features.
final class	SelectedFeatureSet	A record-like class for a selected feature set.
class	SkeletalVariableInfo	Contains information about a feature and can be stored in the feature map in a Dataset.
class	SparseModel<T extends Output<T>>	A model which uses a subset of the features it knows about to make predictions.

Uses of ProtoSerializable in org.tribuo.anomaly

Classes in org.tribuo.anomaly that implement ProtoSerializable

Modifier and Type	Class	Description
final class	AnomalyFactory	A factory for generating events.
class	AnomalyInfo	The base class for tracking anomalous events.
final class	Event	An Output representing either an Event.EventType.ANOMALOUS or an Event.EventType.EXPECTED event.
final class	ImmutableAnomalyInfo	An ImmutableOutputInfo object for Events.
final class	MutableAnomalyInfo	An MutableOutputInfo object for Events.

Uses of ProtoSerializable in org.tribuo.anomaly.liblinear

Classes in org.tribuo.anomaly.liblinear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibLinearAnomalyModel	A Model which wraps a LibLinear-java anomaly detection model.

Uses of ProtoSerializable in org.tribuo.anomaly.libsvm

Classes in org.tribuo.anomaly.libsvm that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibSVMAnomalyModel	An anomaly detection model that uses an underlying libSVM model to make the predictions.

Uses of ProtoSerializable in org.tribuo.classification

Subinterfaces of ProtoSerializable in org.tribuo.classification

Modifier and Type	Interface	Description
interface	Classifiable<T extends Classifiable<T>>	A tag interface for multi-class and multi-label classification tasks.

Classes in org.tribuo.classification that implement ProtoSerializable

Modifier and Type	Class	Description
class	ImmutableLabelInfo	An ImmutableOutputInfo object for Labels.
final class	Label	An immutable multi-class classification label.
final class	LabelFactory	A factory for making Label related classes.
class	LabelInfo	The base class for information about multi-class classification Labels.
class	MutableLabelInfo	A mutable LabelInfo.

Uses of ProtoSerializable in org.tribuo.classification.baseline

Classes in org.tribuo.classification.baseline that implement ProtoSerializable

Modifier and Type	Class	Description
class	DummyClassifierModel	A model which performs dummy classifications (e.g., constant output, uniform sampled labels, stratified sampled labels).

Uses of ProtoSerializable in org.tribuo.classification.ensemble

Classes in org.tribuo.classification.ensemble that implement ProtoSerializable

Modifier and Type	Class	Description
final class	FullyWeightedVotingCombiner	A combiner which performs a weighted or unweighted vote across the predicted labels.
final class	VotingCombiner	A combiner which performs a weighted or unweighted vote across the predicted labels.

Uses of ProtoSerializable in org.tribuo.classification.liblinear

Classes in org.tribuo.classification.liblinear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibLinearClassificationModel	A Model which wraps a LibLinear-java classification model.

Uses of ProtoSerializable in org.tribuo.classification.libsvm

Classes in org.tribuo.classification.libsvm that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibSVMClassificationModel	A classification model that uses an underlying LibSVM model to make the predictions.

Uses of ProtoSerializable in org.tribuo.classification.mnb

Classes in org.tribuo.classification.mnb that implement ProtoSerializable

Modifier and Type	Class	Description
class	MultinomialNaiveBayesModel	A Model for multinomial Naive Bayes with Laplace smoothing.

Uses of ProtoSerializable in org.tribuo.classification.sequence

Classes in org.tribuo.classification.sequence that implement ProtoSerializable

Modifier and Type	Class	Description
class	ConfidencePredictingSequenceModel	A Sequence model which can provide confidence predictions for subsequence predictions.

Uses of ProtoSerializable in org.tribuo.classification.sequence.viterbi

Subinterfaces of ProtoSerializable in org.tribuo.classification.sequence.viterbi

Modifier and Type	Interface	Description
interface	LabelFeatureExtractor	A class for featurising labels from previous steps in Viterbi.

Classes in org.tribuo.classification.sequence.viterbi that implement ProtoSerializable

Modifier and Type	Class	Description
class	DefaultFeatureExtractor	A label feature extractor that produces several kinds of label-based features.
class	NoopFeatureExtractor	A label feature extractor that doesn't produce any label based features.
class	ViterbiModel	An implementation of a viterbi model.

Uses of ProtoSerializable in org.tribuo.classification.sgd.crf

Classes in org.tribuo.classification.sgd.crf that implement ProtoSerializable

Modifier and Type	Class	Description
class	CRFModel	An inference time model for a linear chain CRF trained using SGD.
class	CRFParameters	A Parameters for training a CRF using SGD.

Uses of ProtoSerializable in org.tribuo.classification.sgd.fm

Classes in org.tribuo.classification.sgd.fm that implement ProtoSerializable

Modifier and Type	Class	Description
class	FMClassificationModel	The inference time version of a factorization machine trained using SGD.

Uses of ProtoSerializable in org.tribuo.classification.sgd.kernel

Classes in org.tribuo.classification.sgd.kernel that implement ProtoSerializable

Modifier and Type	Class	Description
class	KernelSVMModel	The inference time version of a kernel model trained using Pegasos.

Uses of ProtoSerializable in org.tribuo.classification.sgd.linear

Classes in org.tribuo.classification.sgd.linear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LinearSGDModel	The inference time version of a linear model trained using SGD.

Uses of ProtoSerializable in org.tribuo.classification.xgboost

Classes in org.tribuo.classification.xgboost that implement ProtoSerializable

Modifier and Type	Class	Description
final class	XGBoostClassificationConverter	Converts XGBoost outputs into Label Predictions.

Uses of ProtoSerializable in org.tribuo.clustering

Classes in org.tribuo.clustering that implement ProtoSerializable

Modifier and Type	Class	Description
class	ClusterID	A clustering id.
final class	ClusteringFactory	A factory for making ClusterID related classes.
class	ClusteringInfo	The base class for a ClusterID OutputInfo.
class	ImmutableClusteringInfo	An ImmutableOutputInfo object for ClusterIDs.
class	MutableClusteringInfo	A mutable ClusteringInfo.

Uses of ProtoSerializable in org.tribuo.clustering.hdbscan

Classes in org.tribuo.clustering.hdbscan that implement ProtoSerializable

Modifier and Type	Class	Description
final class	HdbscanModel	A trained HDBSCAN* model which provides the cluster assignment labels and outlier scores for every data point.

Uses of ProtoSerializable in org.tribuo.clustering.kmeans

Classes in org.tribuo.clustering.kmeans that implement ProtoSerializable

Modifier and Type	Class	Description
class	KMeansModel	A K-Means model with a selectable distance function.

Uses of ProtoSerializable in org.tribuo.common.liblinear

Classes in org.tribuo.common.liblinear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibLinearModel<T extends Output<T>>	A Model which wraps a LibLinear-java model.

Uses of ProtoSerializable in org.tribuo.common.libsvm

Classes in org.tribuo.common.libsvm that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibSVMModel<T extends Output<T>>	A model that uses an underlying libSVM model to make the predictions.

Uses of ProtoSerializable in org.tribuo.common.nearest

Classes in org.tribuo.common.nearest that implement ProtoSerializable

Modifier and Type	Class	Description
class	KNNModel<T extends Output<T>>	A k-nearest neighbours model.

Uses of ProtoSerializable in org.tribuo.common.sgd

Classes in org.tribuo.common.sgd that implement ProtoSerializable

Modifier and Type	Class	Description
class	AbstractFMModel<T extends Output<T>>	A quadratic factorization machine model trained using SGD.
class	AbstractLinearSGDModel<T extends Output<T>>	A linear model trained using SGD.
class	AbstractSGDModel<T extends Output<T>>	A model trained using SGD.
final class	FMParameters	A Parameters for factorization machines.

Uses of ProtoSerializable in org.tribuo.common.tree

Classes in org.tribuo.common.tree that implement ProtoSerializable

Modifier and Type	Class	Description
class	TreeModel<T extends Output<T>>	A Model wrapped around a decision tree root Node.

Uses of ProtoSerializable in org.tribuo.common.xgboost

Subinterfaces of ProtoSerializable in org.tribuo.common.xgboost

Modifier and Type	Interface	Description
interface	XGBoostOutputConverter<T extends Output<T>>	Converts the output of XGBoost into the appropriate prediction type.

Classes in org.tribuo.common.xgboost that implement ProtoSerializable

Modifier and Type	Class	Description
final class	XGBoostExternalModel<T extends Output<T>>	A Model which wraps around a XGBoost.Booster which was trained by a system other than Tribuo.
final class	XGBoostModel<T extends Output<T>>	A Model which wraps around a XGBoost.Booster.

Uses of ProtoSerializable in org.tribuo.dataset

Classes in org.tribuo.dataset that implement ProtoSerializable

Modifier and Type	Class	Description
final class	DatasetView<T extends Output<T>>	DatasetView provides an immutable view on another Dataset that only exposes selected examples.
class	MinimumCardinalityDataset<T extends Output<T>>	This class creates a pruned dataset in which low frequency features that occur less than the provided minimum cardinality have been removed.
final class	SelectedFeatureDataset<T extends Output<T>>	This class creates a pruned dataset which only contains the selected features.

Uses of ProtoSerializable in org.tribuo.ensemble

Subinterfaces of ProtoSerializable in org.tribuo.ensemble

Modifier and Type	Interface	Description
interface	EnsembleCombiner<T extends Output<T>>	An interface for combining predictions.

Classes in org.tribuo.ensemble that implement ProtoSerializable

Modifier and Type	Class	Description
class	EnsembleModel<T extends Output<T>>	A model which contains a list of other Models.
final class	WeightedEnsembleModel<T extends Output<T>>	An ensemble model that uses weights to combine the ensemble member predictions.

Uses of ProtoSerializable in org.tribuo.hash

Classes in org.tribuo.hash that implement ProtoSerializable

Modifier and Type	Class	Description
final class	HashCodeHasher	Hashes names using String.hashCode().
final class	HashedFeatureMap	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.
class	Hasher	An abstract base class for hash functions used to hash the names of features.
final class	MessageDigestHasher	Hashes Strings using the supplied MessageDigest type.
final class	ModHashCodeHasher	Hashes names using String.hashCode(), then reduces the dimension.

Uses of ProtoSerializable in org.tribuo.impl

Classes in org.tribuo.impl that implement ProtoSerializable

Modifier and Type	Class	Description
class	ArrayExample<T extends Output<T>>	An Example backed by two arrays, one of String and one of double.
final class	BinaryFeaturesExample<T extends Output<T>>	An Example backed by a single array of feature names.
class	IndexedArrayExample<T extends Output<T>>	A version of ArrayExample which also has the id numbers.
class	ListExample<T extends Output<T>>	This class will not be performant until value types are available in Java.

Uses of ProtoSerializable in org.tribuo.interop

Classes in org.tribuo.interop that implement ProtoSerializable

Modifier and Type	Class	Description
class	ExternalModel<T extends Output<T>, U, V>	This is the base class for third party models which are trained externally and loaded into Tribuo for prediction.

Uses of ProtoSerializable in org.tribuo.interop.oci

Subinterfaces of ProtoSerializable in org.tribuo.interop.oci

Modifier and Type	Interface	Description
interface	OCIOutputConverter<T extends Output<T>>	Converter for a DenseMatrix received from OCI Data Science Model Deployment.

Classes in org.tribuo.interop.oci that implement ProtoSerializable

Modifier and Type	Class	Description
final class	OCILabelConverter	A converter for DenseMatrix and DenseVector into Label Predictions.
final class	OCIModel<T extends Output<T>>	A wrapper class around an OCI Data Science Model Deployment endpoint which sends off inputs for scoring and converts the output into a Tribuo prediction.
final class	OCIMultiLabelConverter	A converter for DenseMatrix and DenseVector into MultiLabel Predictions.
final class	OCIRegressorConverter	A converter for DenseMatrix and DenseVector into Regressor Predictions.

Uses of ProtoSerializable in org.tribuo.interop.onnx

Subinterfaces of ProtoSerializable in org.tribuo.interop.onnx

Modifier and Type	Interface	Description
interface	ExampleTransformer	Transforms a SparseVector, extracting the features from it as a OnnxTensor.
interface	OutputTransformer<T extends Output<T>>	Converts an OnnxValue into an Output or a Prediction.

Classes in org.tribuo.interop.onnx that implement ProtoSerializable

Modifier and Type	Class	Description
class	DenseTransformer	Converts a sparse Tribuo example into a dense float vector, then wraps it in an OnnxTensor.
class	ImageTransformer	Image transformer.
final class	LabelOneVOneTransformer	Can convert an OnnxValue into a Prediction or a Label.
class	LabelTransformer	Can convert an OnnxValue into a Prediction or a Label.
class	MultiLabelTransformer	Can convert an OnnxValue into a Prediction or a MultiLabel.
final class	ONNXExternalModel<T extends Output<T>>	A Tribuo wrapper around a ONNX model.
class	RegressorTransformer	Can convert an OnnxValue into a Prediction or Regressor.

Uses of ProtoSerializable in org.tribuo.interop.tensorflow

Subinterfaces of ProtoSerializable in org.tribuo.interop.tensorflow

Modifier and Type	Interface	Description
interface	FeatureConverter	Transforms an Example or SGDVector, extracting the features from it as a TensorMap.
interface	OutputConverter<T extends Output<T>>	Converts the Output into a Tensor and vice versa.

Classes in org.tribuo.interop.tensorflow that implement ProtoSerializable

Modifier and Type	Class	Description
class	DenseFeatureConverter	Converts a sparse example into a dense float vector, then wraps it in a TFloat32.
class	ImageConverter	Image converter.
class	LabelConverter	Can convert a Label into a Tensor containing one hot encoding of the label and can convert a TFloat16 or TFloat32 into a Prediction or a Label.
class	MultiLabelConverter	Can convert a MultiLabel into a Tensor containing a binary encoding of the label vector and can convert a TFloat16 or TFloat32 into a Prediction or a MultiLabel.
class	RegressorConverter	Can convert a Regressor to a TFloat32 vector and a TFloat32 into a Prediction or Regressor.
final class	TensorFlowCheckpointModel<T extends Output<T>>	This model encapsulates a simple model with an input feed dict, and produces a single output tensor.
final class	TensorFlowFrozenExternalModel<T extends Output<T>>	A Tribuo wrapper around a TensorFlow frozen model.
class	TensorFlowModel<T extends Output<T>>	Base class for a TensorFlow model that operates on Examples.
final class	TensorFlowNativeModel<T extends Output<T>>	This model encapsulates a TensorFlow model running in graph mode with a single tensor output.
final class	TensorFlowSavedModelExternalModel<T extends Output<T>>	A Tribuo wrapper around a TensorFlow saved model bundle.

Uses of ProtoSerializable in org.tribuo.interop.tensorflow.sequence

Subinterfaces of ProtoSerializable in org.tribuo.interop.tensorflow.sequence

Modifier and Type	Interface	Description
interface	SequenceFeatureConverter	Converts a sequence example into a feed dict suitable for TensorFlow.
interface	SequenceOutputConverter<T extends Output<T>>	Converts a TensorFlow output tensor into a list of predictions, and a Tribuo sequence example into a Tensorflow tensor suitable for training.

Classes in org.tribuo.interop.tensorflow.sequence that implement ProtoSerializable

Modifier and Type	Class	Description
class	TensorFlowSequenceModel<T extends Output<T>>	A TensorFlow model which implements SequenceModel, suitable for use in sequential prediction tasks.

Uses of ProtoSerializable in org.tribuo.math

Subinterfaces of ProtoSerializable in org.tribuo.math

Modifier and Type	Interface	Description
interface	FeedForwardParameters	A Parameters for models which make a single prediction like logistic regressions and neural networks.
interface	Parameters	An interface to a Tensor[] array which accepts updates to the parameters.

Classes in org.tribuo.math that implement ProtoSerializable

Modifier and Type	Class	Description
class	LinearParameters	A Parameters for producing linear models.

Uses of ProtoSerializable in org.tribuo.math.distance

Subinterfaces of ProtoSerializable in org.tribuo.math.distance

Modifier and Type	Interface	Description
interface	Distance	Interface for distance functions.

Classes in org.tribuo.math.distance that implement ProtoSerializable

Modifier and Type	Class	Description
final class	CosineDistance	Cosine similarity used as a distance measure.
final class	L1Distance	L1 (or Manhattan) distance.
final class	L2Distance	L2 (or Euclidean) distance.

Uses of ProtoSerializable in org.tribuo.math.kernel

Subinterfaces of ProtoSerializable in org.tribuo.math.kernel

Modifier and Type	Interface	Description
interface	Kernel	An interface for a Mercer kernel function.

Classes in org.tribuo.math.kernel that implement ProtoSerializable

Modifier and Type	Class	Description
class	Linear	A linear kernel, u.dot(v).
class	Polynomial	A polynomial kernel, (gamma*u.dot(v) + intercept)^degree.
class	RBF	A Radial Basis Function (RBF) kernel, exp(-gamma*|u-v|^2).
class	Sigmoid	A sigmoid kernel, tanh(gamma*u.dot(v) + intercept).

Uses of ProtoSerializable in org.tribuo.math.la

Subinterfaces of ProtoSerializable in org.tribuo.math.la

Modifier and Type	Interface	Description
interface	Matrix	Interface for 2 dimensional Tensors.
interface	SGDVector	Interface for 1 dimensional Tensors.
interface	Tensor	An interface for Tensors, currently Vectors and Matrices.

Classes in org.tribuo.math.la that implement ProtoSerializable

Modifier and Type	Class	Description
class	DenseMatrix	A dense matrix, backed by a primitive array.
class	DenseSparseMatrix	A matrix which is dense in the first dimension and sparse in the second.
class	DenseVector	A dense vector, backed by a double array.
class	SparseVector	A sparse vector.

Uses of ProtoSerializable in org.tribuo.math.neighbour

Subinterfaces of ProtoSerializable in org.tribuo.math.neighbour

Modifier and Type	Interface	Description
interface	NeighboursQueryFactory	An interface for factories which create nearest neighbour query objects.

Uses of ProtoSerializable in org.tribuo.math.neighbour.bruteforce

Classes in org.tribuo.math.neighbour.bruteforce that implement ProtoSerializable

Modifier and Type	Class	Description
final class	NeighboursBruteForceFactory	A factory which creates brute-force nearest neighbour query objects.

Uses of ProtoSerializable in org.tribuo.math.neighbour.kdtree

Classes in org.tribuo.math.neighbour.kdtree that implement ProtoSerializable

Modifier and Type	Class	Description
class	KDTreeFactory	A factory which creates k-d tree nearest neighbour query objects.

Uses of ProtoSerializable in org.tribuo.math.optimisers.util

Classes in org.tribuo.math.optimisers.util that implement ProtoSerializable

Modifier and Type	Class	Description
class	ShrinkingMatrix	A subclass of DenseMatrix which shrinks the value every time a new value is added.
class	ShrinkingVector	A subclass of DenseVector which shrinks the value every time a new value is added.

Uses of ProtoSerializable in org.tribuo.math.util

Subinterfaces of ProtoSerializable in org.tribuo.math.util

Modifier and Type	Interface	Description
interface	Merger	An interface for merging an array of DenseSparseMatrix into a single DenseSparseMatrix.
interface	VectorNormalizer	A functional interface that generates a normalized version of a double array.

Classes in org.tribuo.math.util that implement ProtoSerializable

Modifier and Type	Class	Description
class	ExpNormalizer	Normalizes the exponential values of the input array.
class	HeapMerger	Merges each SparseVector separately using a PriorityQueue as a heap.
class	MatrixHeapMerger	Merges each DenseSparseMatrix using a PriorityQueue as a heap on the MatrixIterator.
class	NoopNormalizer	NoopNormalizer returns a copy in NoopNormalizer.normalize(double[]) and is a no-op in place.
class	Normalizer	Normalizes, but first subtracts the minimum value (to ensure positivity).
class	SigmoidNormalizer	Normalizes the input by applying a logistic sigmoid to each element.

Uses of ProtoSerializable in org.tribuo.multilabel

Classes in org.tribuo.multilabel that implement ProtoSerializable

Modifier and Type	Class	Description
class	ImmutableMultiLabelInfo	An ImmutableOutputInfo for working with MultiLabel tasks.
class	MultiLabel	A class for multi-label classification.
final class	MultiLabelFactory	A factory for generating MultiLabel objects and their associated OutputInfo and Evaluator objects.
class	MultiLabelInfo	The base class for information about MultiLabel outputs.
class	MutableMultiLabelInfo	A MutableOutputInfo for working with multi-label tasks.

Uses of ProtoSerializable in org.tribuo.multilabel.baseline

Classes in org.tribuo.multilabel.baseline that implement ProtoSerializable

Modifier and Type	Class	Description
final class	ClassifierChainModel	A Classifier Chain Model.
class	IndependentMultiLabelModel	A Model which wraps n binary models, where n is the size of the MultiLabel domain.

Uses of ProtoSerializable in org.tribuo.multilabel.ensemble

Classes in org.tribuo.multilabel.ensemble that implement ProtoSerializable

Modifier and Type	Class	Description
final class	MultiLabelVotingCombiner	A combiner which performs a weighted or unweighted vote independently across the predicted labels in each multi-label.

Uses of ProtoSerializable in org.tribuo.multilabel.sgd.fm

Classes in org.tribuo.multilabel.sgd.fm that implement ProtoSerializable

Modifier and Type	Class	Description
class	FMMultiLabelModel	The inference time version of a multi-label factorization machine trained using SGD.

Uses of ProtoSerializable in org.tribuo.multilabel.sgd.linear

Classes in org.tribuo.multilabel.sgd.linear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LinearSGDModel	The inference time version of a multi-label linear model trained using SGD.

Uses of ProtoSerializable in org.tribuo.protos

Methods in org.tribuo.protos with type parameters of type ProtoSerializable

Modifier and Type	Method	Description
static <SERIALIZED extends com.google.protobuf.Message, PROTO_SERIALIZABLE extends ProtoSerializable<SERIALIZED>> PROTO_SERIALIZABLE	ProtoUtil.deserialize(SERIALIZED serialized)	Instantiates the class from the supplied protobuf fields.
static <SERIALIZED_CLASS extends com.google.protobuf.Message, SERIALIZED_DATA extends com.google.protobuf.Message, PROTO_SERIALIZABLE extends ProtoSerializable<SERIALIZED_CLASS>> SERIALIZED_CLASS	ProtoUtil.serialize(PROTO_SERIALIZABLE protoSerializable)	Serializes a ProtoSerializable class which has the appropriate ProtoSerializableClass annotations.

Method parameters in org.tribuo.protos with type arguments of type ProtoSerializable

Modifier and Type	Method	Description
static int	ProtoUtil.getCurrentVersion(Class<? extends ProtoSerializable<?>> clazz)	If this class is annotated with ProtoSerializableClass returns the version number, otherwise returns -1.

Uses of ProtoSerializable in org.tribuo.regression

Classes in org.tribuo.regression that implement ProtoSerializable

Modifier and Type	Class	Description
class	ImmutableRegressionInfo	A ImmutableOutputInfo for Regressors.
class	MutableRegressionInfo	A MutableOutputInfo for Regressors.
final class	RegressionFactory	A factory for creating Regressors and RegressionInfos.
class	RegressionInfo	The base class for regression information using Regressors.
class	Regressor	An Output for n-dimensional real valued regression.
static final class	Regressor.DimensionTuple	A Regressor which contains a single dimension, used internally when the model implementation doesn't natively support multi-dimensional regression outputs.

Uses of ProtoSerializable in org.tribuo.regression.baseline

Classes in org.tribuo.regression.baseline that implement ProtoSerializable

Modifier and Type	Class	Description
class	DummyRegressionModel	A model which performs dummy regressions (e.g., constant output, gaussian sampled output, mean value, median, quartile).

Uses of ProtoSerializable in org.tribuo.regression.ensemble

Classes in org.tribuo.regression.ensemble that implement ProtoSerializable

Modifier and Type	Class	Description
class	AveragingCombiner	A combiner which performs a weighted or unweighted average of the predicted regressors independently across the output dimensions.

Uses of ProtoSerializable in org.tribuo.regression.impl

Classes in org.tribuo.regression.impl that implement ProtoSerializable

Modifier and Type	Class	Description
class	SkeletalIndependentRegressionModel	A Model which wraps n independent regression models, where n is the size of the MultipleRegressor domain.
class	SkeletalIndependentRegressionSparseModel	A SparseModel which wraps n independent regression models, where n is the size of the MultipleRegressor domain.

Uses of ProtoSerializable in org.tribuo.regression.liblinear

Classes in org.tribuo.regression.liblinear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibLinearRegressionModel	A Model which wraps a LibLinear-java model.

Uses of ProtoSerializable in org.tribuo.regression.libsvm

Classes in org.tribuo.regression.libsvm that implement ProtoSerializable

Modifier and Type	Class	Description
class	LibSVMRegressionModel	A regression model that uses an underlying libSVM model to make the predictions.

Uses of ProtoSerializable in org.tribuo.regression.rtree

Classes in org.tribuo.regression.rtree that implement ProtoSerializable

Modifier and Type	Class	Description
final class	IndependentRegressionTreeModel	A Model wrapped around a list of decision tree root Nodes used to generate independent predictions for each dimension in a regression.

Uses of ProtoSerializable in org.tribuo.regression.sgd.fm

Classes in org.tribuo.regression.sgd.fm that implement ProtoSerializable

Modifier and Type	Class	Description
class	FMRegressionModel	The inference time model of a regression factorization machine trained using SGD.

Uses of ProtoSerializable in org.tribuo.regression.sgd.linear

Classes in org.tribuo.regression.sgd.linear that implement ProtoSerializable

Modifier and Type	Class	Description
class	LinearSGDModel	The inference time version of a linear model trained using SGD.

Uses of ProtoSerializable in org.tribuo.regression.slm

Classes in org.tribuo.regression.slm that implement ProtoSerializable

Modifier and Type	Class	Description
class	SparseLinearModel	The inference time version of a sparse linear regression model.

Uses of ProtoSerializable in org.tribuo.regression.xgboost

Classes in org.tribuo.regression.xgboost that implement ProtoSerializable

Modifier and Type	Class	Description
final class	XGBoostRegressionConverter	Converts XGBoost outputs into Regressor Predictions.

Uses of ProtoSerializable in org.tribuo.sequence

Classes in org.tribuo.sequence that implement ProtoSerializable

Modifier and Type	Class	Description
class	ImmutableSequenceDataset<T extends Output<T>>	This is a SequenceDataset which has an ImmutableFeatureMap to store the feature information.
class	IndependentSequenceModel<T extends Output<T>>	A SequenceModel which independently predicts each element of the sequence.
class	MinimumCardinalitySequenceDataset<T extends Output<T>>	This class creates a pruned dataset in which low frequency features that occur less than the provided minimum cardinality have been removed.
class	MutableSequenceDataset<T extends Output<T>>	A MutableSequenceDataset is a SequenceDataset with a MutableFeatureMap which grows over time.
class	SequenceDataset<T extends Output<T>>	A class for sets of data, which are used to train and evaluate classifiers.
class	SequenceExample<T extends Output<T>>	A sequence of examples, used for sequence classification.
class	SequenceModel<T extends Output<T>>	A prediction model, which is used to predict outputs for unseen instances.

Uses of ProtoSerializable in org.tribuo.transform

Subinterfaces of ProtoSerializable in org.tribuo.transform

Modifier and Type	Interface	Description
interface	Transformer	A fitted Transformation which can apply a transform to the input value.

Classes in org.tribuo.transform that implement ProtoSerializable

Modifier and Type	Class	Description
class	TransformedModel<T extends Output<T>>	Wraps a Model with it's TransformerMap so all Examples are transformed appropriately before the model makes predictions.
final class	TransformerMap	A collection of Transformers which can be applied to a Dataset or Example.

Uses of ProtoSerializable in org.tribuo.transform.transformations

Classes in org.tribuo.transform.transformations that implement ProtoSerializable

Modifier and Type	Class	Description
static final class	BinningTransformation.BinningTransformer	The implementation of a Transformer which splits the input into n bins.
final class	SimpleTransform	This is used for stateless functions such as exp, log, addition or multiplication by a constant.