Uses of Class
org.tribuo.provenance.ModelProvenance

Packages that use ModelProvenance

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
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.baseline	Provides simple baseline multiclass classifiers.
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.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.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.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.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.multilabel.baseline	Provides implementations of binary relevance based multi-label classification algorithms.
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.provenance	Provides Tribuo specific infrastructure for the Provenance system which tracks models and datasets.
org.tribuo.regression.baseline	Provides simple baseline regression predictors.
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.reproducibility	Reproducibility utility based on Tribuo's provenance objects.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.
org.tribuo.transform	Provides infrastructure for applying transformations to a Dataset.

Uses of ModelProvenance in org.tribuo

Fields in org.tribuo declared as ModelProvenance

Modifier and Type	Field	Description
protected final ModelProvenance	Model.provenance	The model provenance.

Methods in org.tribuo with type parameters of type ModelProvenance

Modifier and Type	Method	Description
static <M extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>> ai.onnx.proto.OnnxMl.ModelProto	ONNXExportable.buildModel(ONNXContext onnxContext, String domain, long modelVersion, M model)	Creates an ONNX model protobuf for the supplied context.

Methods in org.tribuo that return ModelProvenance

Modifier and Type	Method	Description
ModelProvenance	Model.getProvenance()

Methods in org.tribuo with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected abstract Model<T>	Model.copy(String newName, ModelProvenance newProvenance)	Copies a model, replacing its provenance and name with the supplied values.
default String	ONNXExportable.serializeProvenance(ModelProvenance provenance)	Serializes the model provenance to a String.

Constructors in org.tribuo with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	Model(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities)	Constructs a new model, storing the supplied fields.
	SparseModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,List<String>> activeFeatures)	Constructs a sparse model from the supplied arguments.

Uses of ModelProvenance in org.tribuo.anomaly.liblinear

Methods in org.tribuo.anomaly.liblinear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LibLinearAnomalyModel	LibLinearAnomalyModel.copy(String newName, ModelProvenance newProvenance)
protected LibLinearModel<Event>	LibLinearAnomalyTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Event> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)

Uses of ModelProvenance in org.tribuo.anomaly.libsvm

Methods in org.tribuo.anomaly.libsvm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LibSVMAnomalyModel	LibSVMAnomalyModel.copy(String newName, ModelProvenance newProvenance)
protected LibSVMModel<Event>	LibSVMAnomalyTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Event> outputIDInfo, List<libsvm.svm_model> models)

Uses of ModelProvenance in org.tribuo.classification.baseline

Methods in org.tribuo.classification.baseline with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected DummyClassifierModel	DummyClassifierModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.classification.liblinear

Methods in org.tribuo.classification.liblinear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LibLinearClassificationModel	LibLinearClassificationModel.copy(String newName, ModelProvenance newProvenance)
protected LibLinearModel<Label>	LibLinearClassificationTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)

Uses of ModelProvenance in org.tribuo.classification.libsvm

Methods in org.tribuo.classification.libsvm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LibSVMClassificationModel	LibSVMClassificationModel.copy(String newName, ModelProvenance newProvenance)
protected LibSVMModel<Label>	LibSVMClassificationTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> outputIDInfo, List<libsvm.svm_model> models)

Uses of ModelProvenance in org.tribuo.classification.mnb

Methods in org.tribuo.classification.mnb with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected MultinomialNaiveBayesModel	MultinomialNaiveBayesModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.classification.sequence

Constructors in org.tribuo.classification.sequence with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	ConfidencePredictingSequenceModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> labelIDMap)	Constructs a ConfidencePredictingSequenceModel with the supplied parameters.

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

Methods in org.tribuo.classification.sgd.fm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected FMClassificationModel	FMClassificationModel.copy(String newName, ModelProvenance newProvenance)
protected FMClassificationModel	FMClassificationTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Label> outputInfo, FMParameters parameters)

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

Methods in org.tribuo.classification.sgd.kernel with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected KernelSVMModel	KernelSVMModel.copy(String newName, ModelProvenance newProvenance)

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

Methods in org.tribuo.classification.sgd.linear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LinearSGDModel	LinearSGDModel.copy(String newName, ModelProvenance newProvenance)
protected LinearSGDModel	LinearSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Label> outputInfo, LinearParameters parameters)

Uses of ModelProvenance in org.tribuo.clustering.hdbscan

Methods in org.tribuo.clustering.hdbscan with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected HdbscanModel	HdbscanModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.clustering.kmeans

Methods in org.tribuo.clustering.kmeans with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected KMeansModel	KMeansModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.common.liblinear

Methods in org.tribuo.common.liblinear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected abstract LibLinearModel<T>	LibLinearTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)	Construct the appropriate subtype of LibLinearModel for the prediction task.

Constructors in org.tribuo.common.liblinear with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	LibLinearModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> labelIDMap, boolean generatesProbabilities, List<de.bwaldvogel.liblinear.Model> models)	Constructs a LibLinear model from the supplied arguments.

Uses of ModelProvenance in org.tribuo.common.libsvm

Methods in org.tribuo.common.libsvm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected abstract LibSVMModel<T>	LibSVMTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<libsvm.svm_model> models)	Construct the appropriate subtype of LibSVMModel for the prediction task.

Constructors in org.tribuo.common.libsvm with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	LibSVMModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, List<libsvm.svm_model> models)	Constructs a LibSVMModel from the supplied arguments.

Uses of ModelProvenance in org.tribuo.common.nearest

Methods in org.tribuo.common.nearest with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected KNNModel<T>	KNNModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.common.sgd

Methods in org.tribuo.common.sgd with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected abstract V	AbstractSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<T> outputInfo, X parameters)	Creates the appropriate model subclass for this subclass of AbstractSGDTrainer.

Constructors in org.tribuo.common.sgd with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	AbstractFMModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, FMParameters parameters, boolean generatesProbabilities)	Constructs a factorization machine model trained via SGD.
protected	AbstractLinearSGDModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, LinearParameters parameters, boolean generatesProbabilities)	Constructs a linear model trained via SGD.
protected	AbstractSGDModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, FeedForwardParameters weights, boolean generatesProbabilities, boolean addBias)	Constructs a linear model trained via SGD.

Uses of ModelProvenance in org.tribuo.common.tree

Methods in org.tribuo.common.tree with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected TreeModel<T>	TreeModel.copy(String newName, ModelProvenance newProvenance)

Constructors in org.tribuo.common.tree with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	TreeModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,List<String>> activeFeatures)	Constructs a trained decision tree model.

Uses of ModelProvenance in org.tribuo.common.xgboost

Methods in org.tribuo.common.xgboost with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected XGBoostExternalModel<T>	XGBoostExternalModel.copy(String newName, ModelProvenance newProvenance)
protected Model<T>	XGBoostModel.copy(String newName, ModelProvenance newProvenance)
protected XGBoostModel<T>	XGBoostTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<ml.dmlc.xgboost4j.java.Booster> models, XGBoostOutputConverter<T> converter)	Creates an XGBoost model from the booster list.

Uses of ModelProvenance in org.tribuo.ensemble

Methods in org.tribuo.ensemble with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected Model<T>	EnsembleModel.copy(String name, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.impl

Methods in org.tribuo.impl that return ModelProvenance

Modifier and Type	Method	Description
ModelProvenance	ModelDataCarrier.provenance()	The model provenance.

Constructors in org.tribuo.impl with parameters of type ModelProvenance

Modifier	Constructor	Description
	ModelDataCarrier(String name, ModelProvenance provenance, ImmutableFeatureMap featureDomain, ImmutableOutputInfo<T> outputDomain, boolean generatesProbabilities, String tribuoVersion)	Constructs a new ModelDataCarrier.

Uses of ModelProvenance in org.tribuo.interop

Constructors in org.tribuo.interop with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	ExternalModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, Map<String,Integer> featureMapping)	Constructs an external model from a model trained outside of Tribuo.
protected	ExternalModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, int[] featureForwardMapping, int[] featureBackwardMapping, boolean generatesProbabilities)	Constructs an external model from a model trained outside of Tribuo.

Uses of ModelProvenance in org.tribuo.interop.oci

Methods in org.tribuo.interop.oci with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected Model<T>	OCIModel.copy(String s, ModelProvenance modelProvenance)
static String	OCIUtil.createModel(Path onnxFile, ModelProvenance provenance, OCIUtil.OCIModelType modelType, com.oracle.bmc.datascience.DataScienceClient client, com.fasterxml.jackson.databind.ObjectMapper mapper, OCIUtil.OCIModelArtifactConfig config)	Creates an OCI DS model and uploads the model artifact.

Uses of ModelProvenance in org.tribuo.interop.onnx

Methods in org.tribuo.interop.onnx that return types with arguments of type ModelProvenance

Modifier and Type	Method	Description
Optional<ModelProvenance>	ONNXExternalModel.getTribuoProvenance()	Returns the model provenance from the ONNX model if that model was trained in Tribuo.

Methods in org.tribuo.interop.onnx with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected Model<T>	ONNXExternalModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.interop.tensorflow

Methods in org.tribuo.interop.tensorflow with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected TensorFlowCheckpointModel<T>	TensorFlowCheckpointModel.copy(String newName, ModelProvenance newProvenance)
protected Model<T>	TensorFlowFrozenExternalModel.copy(String newName, ModelProvenance newProvenance)
protected TensorFlowNativeModel<T>	TensorFlowNativeModel.copy(String newName, ModelProvenance newProvenance)
protected Model<T>	TensorFlowSavedModelExternalModel.copy(String newName, ModelProvenance newProvenance)

Constructors in org.tribuo.interop.tensorflow with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	TensorFlowModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, org.tensorflow.proto.framework.GraphDef trainedGraphDef, int batchSize, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter)	Builds a TFModel.

Uses of ModelProvenance in org.tribuo.multilabel.baseline

Methods in org.tribuo.multilabel.baseline with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected ClassifierChainModel	ClassifierChainModel.copy(String newName, ModelProvenance newProvenance)
protected IndependentMultiLabelModel	IndependentMultiLabelModel.copy(String newName, ModelProvenance newProvenance)

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

Methods in org.tribuo.multilabel.sgd.fm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected FMMultiLabelModel	FMMultiLabelModel.copy(String newName, ModelProvenance newProvenance)
protected FMMultiLabelModel	FMMultiLabelTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<MultiLabel> outputInfo, FMParameters parameters)

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

Methods in org.tribuo.multilabel.sgd.linear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LinearSGDModel	LinearSGDModel.copy(String newName, ModelProvenance newProvenance)
protected LinearSGDModel	LinearSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<MultiLabel> outputInfo, LinearParameters parameters)

Uses of ModelProvenance in org.tribuo.provenance

Subclasses of ModelProvenance in org.tribuo.provenance

Modifier and Type	Class	Description
class	EnsembleModelProvenance	Model provenance for ensemble models.

Methods in org.tribuo.provenance that return ModelProvenance

Modifier and Type	Method	Description
ModelProvenance	EvaluationProvenance.getModelProvenance()	The model provenance.

Methods in org.tribuo.provenance that return types with arguments of type ModelProvenance

Modifier and Type	Method	Description
com.oracle.labs.mlrg.olcut.provenance.ListProvenance<? extends ModelProvenance>	EnsembleModelProvenance.getMemberProvenance()	Get the provenances for each ensemble member.

Constructors in org.tribuo.provenance with parameters of type ModelProvenance

Modifier	Constructor	Description
	EvaluationProvenance(ModelProvenance modelProvenance, DataProvenance datasetProvenance)	Constructs an evaluation provenance from the supplied provenances.

Constructor parameters in org.tribuo.provenance with type arguments of type ModelProvenance

Modifier	Constructor	Description
	EnsembleModelProvenance(String className, OffsetDateTime time, DatasetProvenance datasetProvenance, TrainerProvenance trainerProvenance, com.oracle.labs.mlrg.olcut.provenance.ListProvenance<? extends ModelProvenance> memberProvenance)	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 className, OffsetDateTime time, DatasetProvenance datasetProvenance, TrainerProvenance trainerProvenance, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> instanceProvenance, boolean trackSystem, com.oracle.labs.mlrg.olcut.provenance.ListProvenance<? extends ModelProvenance> memberProvenance)	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 className, OffsetDateTime time, DatasetProvenance datasetProvenance, TrainerProvenance trainerProvenance, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> instanceProvenance, com.oracle.labs.mlrg.olcut.provenance.ListProvenance<? extends ModelProvenance> memberProvenance)	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.

Uses of ModelProvenance in org.tribuo.regression.baseline

Methods in org.tribuo.regression.baseline with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected Model<Regressor>	DummyRegressionModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.regression.impl

Methods in org.tribuo.regression.impl with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected abstract SkeletalIndependentRegressionSparseModel	SkeletalIndependentRegressionSparseTrainer.createModel(Map<String,T> models, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	Constructs the appropriate subclass of SkeletalIndependentRegressionModel for this trainer.
protected abstract SkeletalIndependentRegressionModel	SkeletalIndependentRegressionTrainer.createModel(Map<String,T> models, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	Constructs the appropriate subclass of SkeletalIndependentRegressionModel for this trainer.

Constructors in org.tribuo.regression.impl with parameters of type ModelProvenance

Modifier	Constructor	Description
protected	SkeletalIndependentRegressionModel(String name, String[] dimensions, ModelProvenance modelProvenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	models.size() must equal labelInfo.getDomain().size()
protected	SkeletalIndependentRegressionSparseModel(String name, String[] dimensions, ModelProvenance modelProvenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo, Map<String,List<String>> activeFeatures)	models.size() must equal labelInfo.getDomain().size()

Uses of ModelProvenance in org.tribuo.regression.liblinear

Methods in org.tribuo.regression.liblinear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LibLinearRegressionModel	LibLinearRegressionModel.copy(String newName, ModelProvenance newProvenance)
protected LibLinearModel<Regressor>	LibLinearRegressionTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputIDInfo, List<de.bwaldvogel.liblinear.Model> models)

Uses of ModelProvenance in org.tribuo.regression.libsvm

Methods in org.tribuo.regression.libsvm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LibSVMRegressionModel	LibSVMRegressionModel.copy(String newName, ModelProvenance newProvenance)
protected LibSVMModel<Regressor>	LibSVMRegressionTrainer.createModel(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputIDInfo, List<libsvm.svm_model> models)

Uses of ModelProvenance in org.tribuo.regression.rtree

Methods in org.tribuo.regression.rtree with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected IndependentRegressionTreeModel	IndependentRegressionTreeModel.copy(String newName, ModelProvenance newProvenance)

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

Methods in org.tribuo.regression.sgd.fm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected FMRegressionModel	FMRegressionModel.copy(String newName, ModelProvenance newProvenance)
protected FMRegressionModel	FMRegressionTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo, FMParameters parameters)

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

Methods in org.tribuo.regression.sgd.linear with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected LinearSGDModel	LinearSGDModel.copy(String newName, ModelProvenance newProvenance)
protected LinearSGDModel	LinearSGDTrainer.createModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo, LinearParameters parameters)

Uses of ModelProvenance in org.tribuo.regression.slm

Methods in org.tribuo.regression.slm with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected Model<Regressor>	SparseLinearModel.copy(String newName, ModelProvenance newProvenance)

Uses of ModelProvenance in org.tribuo.reproducibility

Methods in org.tribuo.reproducibility with parameters of type ModelProvenance

Modifier and Type	Method	Description
static String	ReproUtil.diffProvenance(ModelProvenance originalProvenance, ModelProvenance newProvenance)	Creates a JSON String diff of two ModelProvenance objects.

Constructors in org.tribuo.reproducibility with parameters of type ModelProvenance

Modifier	Constructor	Description
	ReproUtil(ModelProvenance provenance, Class<T> outputClass)	Creates a ReproUtil instance

Uses of ModelProvenance in org.tribuo.sequence

Methods in org.tribuo.sequence that return ModelProvenance

Modifier and Type	Method	Description
ModelProvenance	SequenceModel.getProvenance()

Constructors in org.tribuo.sequence with parameters of type ModelProvenance

Modifier	Constructor	Description
	SequenceModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDMap)	Builds a SequenceModel.

Uses of ModelProvenance in org.tribuo.transform

Methods in org.tribuo.transform with parameters of type ModelProvenance

Modifier and Type	Method	Description
protected TransformedModel<T>	TransformedModel.copy(String name, ModelProvenance newProvenance)