Uses of Class
sklearn.Estimator
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Uses of Estimator in org.jpmml.sklearn
Methods in org.jpmml.sklearn with parameters of type Estimator Modifier and Type Method Description static List<String>EncodableUtil. generateOutputNames(Estimator estimator)org.jpmml.converter.LabelSkLearnEncoder. initLabel(Estimator estimator, List<String> names)Constructors in org.jpmml.sklearn with parameters of type Estimator Constructor Description SkLearnTypeException(Estimator estimator, Class<?>... clazzes) -
Uses of Estimator in sklearn
Classes in sklearn with type parameters of type Estimator Modifier and Type Interface Description interfaceHasEstimator<E extends Estimator>interfaceHasEstimatorEnsemble<E extends Estimator>Subclasses of Estimator in sklearn Modifier and Type Class Description classCalibratorclassClassifierclassClustererclassCompositeClassifierclassCompositeClustererclassCompositeRegressorclassLabelEncoderClassifierclassRegressorclassSkLearnClassifierclassSkLearnClustererclassSkLearnRegressorMethods in sklearn with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & OutlierDetector>
org.dmg.pmml.OutputOutlierDetectorUtil. createPredictedOutput(E estimator)static <E extends Estimator & OutlierDetector>
org.dmg.pmml.OutputOutlierDetectorUtil. createPredictedOutput(E estimator, String name, org.jpmml.converter.Transformation... transformations)static <E extends Estimator & HasFeatureNamesIn & HasSkLearnOptions>
org.dmg.pmml.PMMLEstimatorUtil. encodePMML(E estimator)abstract <E extends Estimator>
EComposite. getFinalEstimator(Class<? extends E> clazz)Methods in sklearn that return Estimator Modifier and Type Method Description abstract EstimatorComposite. getFinalEstimator()EstimatorEstimator. setPMMLCustomizations(List<? extends Customization> pmmlCustomizations)EstimatorEstimator. setPMMLFeatureImportances(List<Number> pmmlFeatureImportances)EstimatorEstimator. setPMMLOptions(Map<String,?> pmmlOptions)EstimatorEstimator. setPMMLSegmentId(Object pmmlSegmentId)EstimatorComposite. toEstimator()Methods in sklearn with parameters of type Estimator Modifier and Type Method Description static org.dmg.pmml.ModelEstimatorUtil. encodeNativeLike(Estimator estimator, org.jpmml.converter.Schema schema)static List<org.jpmml.converter.Feature>EstimatorUtil. export(Estimator estimator, String predictFunc, org.jpmml.converter.Schema schema, org.dmg.pmml.Model model, SkLearnEncoder encoder)static List<?>EstimatorUtil. getClasses(Estimator estimator)static booleanEstimatorUtil. hasProbabilityDistribution(Estimator estimator)Method parameters in sklearn with type arguments of type Estimator Modifier and Type Method Description static org.dmg.pmml.MiningFunctionEstimatorUtil. getMiningFunction(List<? extends Estimator> estimators) -
Uses of Estimator in sklearn.calibration
Subclasses of Estimator in sklearn.calibration Modifier and Type Class Description classCalibratedClassifierclassCalibratedClassifierCVclassSigmoidCalibration -
Uses of Estimator in sklearn.cluster
Subclasses of Estimator in sklearn.cluster Modifier and Type Class Description classKMeansclassMiniBatchKMeans -
Uses of Estimator in sklearn.compose
Subclasses of Estimator in sklearn.compose Modifier and Type Class Description classTransformedTargetRegressor -
Uses of Estimator in sklearn.discriminant_analysis
Subclasses of Estimator in sklearn.discriminant_analysis Modifier and Type Class Description classLinearDiscriminantAnalysis -
Uses of Estimator in sklearn.dummy
Subclasses of Estimator in sklearn.dummy Modifier and Type Class Description classDummyClassifierclassDummyRegressor -
Uses of Estimator in sklearn.ensemble
Subclasses of Estimator in sklearn.ensemble Modifier and Type Class Description classEnsembleClassifierclassEnsembleRegressor -
Uses of Estimator in sklearn.ensemble.bagging
Subclasses of Estimator in sklearn.ensemble.bagging Modifier and Type Class Description classBaggingClassifierclassBaggingRegressorMethods in sklearn.ensemble.bagging with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator>
org.dmg.pmml.mining.MiningModelBaggingUtil. encodeBagging(List<E> estimators, List<List<Number>> estimatorsFeatures, org.dmg.pmml.MiningFunction miningFunction, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.jpmml.converter.Schema schema) -
Uses of Estimator in sklearn.ensemble.forest
Subclasses of Estimator in sklearn.ensemble.forest Modifier and Type Class Description classForestClassifierclassForestRegressorMethods in sklearn.ensemble.forest with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasEstimatorEnsemble<T> & HasTreeOptions,T extends Estimator & HasTree>
org.dmg.pmml.mining.MiningModelForestUtil. encodeForest(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.jpmml.converter.Schema schema)static <E extends Estimator & HasEstimatorEnsemble<T> & HasTreeOptions,T extends Estimator & HasTree>
org.dmg.pmml.mining.MiningModelForestUtil. encodeForest(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.jpmml.converter.Schema schema)static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree>
intForestUtil. getNumberOfEstimators(E estimator)static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree>
intForestUtil. getNumberOfEstimators(E estimator) -
Uses of Estimator in sklearn.ensemble.gradient_boosting
Subclasses of Estimator in sklearn.ensemble.gradient_boosting Modifier and Type Class Description classGradientBoostingClassifierclassGradientBoostingRegressorMethods in sklearn.ensemble.gradient_boosting with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasEstimatorEnsemble<TreeRegressor> & HasTreeOptions>
org.dmg.pmml.mining.MiningModelGradientBoostingUtil. encodeGradientBoosting(E estimator, Number initialPrediction, Number learningRate, org.jpmml.converter.Schema schema) -
Uses of Estimator in sklearn.ensemble.hist_gradient_boosting
Subclasses of Estimator in sklearn.ensemble.hist_gradient_boosting Modifier and Type Class Description classHistGradientBoostingClassifierclassHistGradientBoostingRegressor -
Uses of Estimator in sklearn.ensemble.iforest
Subclasses of Estimator in sklearn.ensemble.iforest Modifier and Type Class Description classIsolationForestMethods in sklearn.ensemble.iforest with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasIsolationForest & OutlierDetector>
org.dmg.pmml.mining.MiningModelIsolationForestUtil. encodeMiningModel(E estimator, List<org.dmg.pmml.tree.TreeModel> treeModels, boolean corrected, boolean nodeSampleCorrected, org.jpmml.converter.Schema schema) -
Uses of Estimator in sklearn.ensemble.stacking
Subclasses of Estimator in sklearn.ensemble.stacking Modifier and Type Class Description classStackingClassifierclassStackingRegressorMethods in sklearn.ensemble.stacking with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator>
org.dmg.pmml.mining.MiningModelStackingUtil. encodeStacking(List<? extends E> estimators, List<String> stackMethods, StackingUtil.PredictFunction predictFunction, E finalEstimator, boolean passthrough, org.jpmml.converter.Schema schema) -
Uses of Estimator in sklearn.ensemble.voting
Subclasses of Estimator in sklearn.ensemble.voting Modifier and Type Class Description classVotingClassifierclassVotingRegressor -
Uses of Estimator in sklearn.ensemble.weight_boosting
Subclasses of Estimator in sklearn.ensemble.weight_boosting Modifier and Type Class Description classAdaBoostRegressor -
Uses of Estimator in sklearn.feature_selection
Methods in sklearn.feature_selection that return Estimator Modifier and Type Method Description EstimatorSelectFromModel. getEstimator() -
Uses of Estimator in sklearn.isotonic
Subclasses of Estimator in sklearn.isotonic Modifier and Type Class Description classIsotonicRegression -
Uses of Estimator in sklearn.kernel_ridge
Subclasses of Estimator in sklearn.kernel_ridge Modifier and Type Class Description classKernelRidge -
Uses of Estimator in sklearn.linear_model
Subclasses of Estimator in sklearn.linear_model Modifier and Type Class Description classLinearClassifierclassLinearRegressor -
Uses of Estimator in sklearn.linear_model.glm
Subclasses of Estimator in sklearn.linear_model.glm Modifier and Type Class Description classGeneralizedLinearRegressorclassTweedieRegressor -
Uses of Estimator in sklearn.linear_model.logistic
Subclasses of Estimator in sklearn.linear_model.logistic Modifier and Type Class Description classLogisticRegression -
Uses of Estimator in sklearn.linear_model.ridge
Subclasses of Estimator in sklearn.linear_model.ridge Modifier and Type Class Description classRidgeClassifier -
Uses of Estimator in sklearn.linear_model.stochastic_gradient
Subclasses of Estimator in sklearn.linear_model.stochastic_gradient Modifier and Type Class Description classSGDClassifierclassSGDOneClassSVM -
Uses of Estimator in sklearn.model_selection
Subclasses of Estimator in sklearn.model_selection Modifier and Type Class Description classFixedThresholdClassifierclassTunedThresholdClassifierCVMethods in sklearn.model_selection that return Estimator Modifier and Type Method Description EstimatorEstimatorSearcher. getBestEstimator()EstimatorEstimatorSearcher. getBestEstimator(Class<? extends Estimator> clazz)Method parameters in sklearn.model_selection with type arguments of type Estimator Modifier and Type Method Description EstimatorEstimatorSearcher. getBestEstimator(Class<? extends Estimator> clazz) -
Uses of Estimator in sklearn.multiclass
Subclasses of Estimator in sklearn.multiclass Modifier and Type Class Description classOneVsRestClassifier -
Uses of Estimator in sklearn.multioutput
Subclasses of Estimator in sklearn.multioutput Modifier and Type Class Description classClassifierChainclassMultiOutputClassifierclassMultiOutputRegressorclassRegressorChainMethods in sklearn.multioutput with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator>
org.dmg.pmml.mining.MiningModelChainUtil. encodeChain(List<E> estimators, List<Integer> order, org.jpmml.converter.Schema schema)static <E extends Estimator>
org.dmg.pmml.ModelMultiOutputUtil. encodeEstimators(List<E> estimators, org.jpmml.converter.Schema schema) -
Uses of Estimator in sklearn.naive_bayes
Subclasses of Estimator in sklearn.naive_bayes Modifier and Type Class Description classBernoulliNBclassCategoricalNBclassDiscreteNBclassGaussianNBclassMultinomialNB -
Uses of Estimator in sklearn.neighbors
Subclasses of Estimator in sklearn.neighbors Modifier and Type Class Description classKNeighborsClassifierclassKNeighborsRegressorclassNearestCentroidclassNearestNeighborsMethods in sklearn.neighbors with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasMetric & HasNumberOfNeighbors & HasTrainingData>
org.dmg.pmml.nearest_neighbor.NearestNeighborModelKNeighborsUtil. encodeNeighbors(E estimator, org.dmg.pmml.MiningFunction miningFunction, int numberOfInstances, int numberOfFeatures, org.jpmml.converter.Schema schema)static <E extends Estimator & HasTrainingData>
intKNeighborsUtil. getNumberOfOutputs(E estimator) -
Uses of Estimator in sklearn.neural_network
Subclasses of Estimator in sklearn.neural_network Modifier and Type Class Description classMLPClassifierclassMLPRegressor -
Uses of Estimator in sklearn.pipeline
Methods in sklearn.pipeline with type parameters of type Estimator Modifier and Type Method Description <E extends Estimator>
ESkLearnPipeline. getFinalEstimator(Class<? extends E> clazz)Methods in sklearn.pipeline that return Estimator Modifier and Type Method Description EstimatorSkLearnPipeline. getFinalEstimator() -
Uses of Estimator in sklearn.svm
Subclasses of Estimator in sklearn.svm Modifier and Type Class Description classLibSVMClassifierclassLibSVMRegressorclassLinearSVCclassOneClassSVM -
Uses of Estimator in sklearn.tree
Subclasses of Estimator in sklearn.tree Modifier and Type Class Description classTreeClassifierclassTreeRegressorMethods in sklearn.tree with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasTreeOptions,M extends org.dmg.pmml.Model>
MTreeUtil. configureModel(E estimator, M model)static <E extends Estimator & HasTreeOptions>
org.jpmml.converter.SchemaTreeUtil. configureSchema(E estimator, org.jpmml.converter.Schema schema)static <E extends Estimator & HasTree>
org.dmg.pmml.tree.TreeModelTreeUtil. encodeTreeModel(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.PredicateManager predicateManager, org.jpmml.converter.ScoreDistributionManager scoreDistributionManager, org.jpmml.converter.Schema schema)static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree>
List<org.dmg.pmml.tree.TreeModel>TreeEnsembleUtil. encodeTreeModelEnsemble(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree>
List<org.dmg.pmml.tree.TreeModel>TreeEnsembleUtil. encodeTreeModelEnsemble(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)static <E extends Estimator & HasTree>
booleanTreeUtil. hasMissingValueSupport(E estimator) -
Uses of Estimator in sklearn2pmml
Classes in sklearn2pmml with type parameters of type Estimator Modifier and Type Interface Description interfaceHasPMMLSegmentId<E extends Estimator>Subclasses of Estimator in sklearn2pmml Modifier and Type Class Description classEstimatorProxyMethods in sklearn2pmml that return Estimator Modifier and Type Method Description EstimatorEstimatorProxy. getEstimator()Methods in sklearn2pmml with parameters of type Estimator Modifier and Type Method Description static StringEstimatorProxy. formatProxyExample(Estimator estimator) -
Uses of Estimator in sklearn2pmml.ensemble
Subclasses of Estimator in sklearn2pmml.ensemble Modifier and Type Class Description classEstimatorChainclassGBDTLMRegressorclassGBDTLRClassifierclassLinkclassSelectFirstClassifierclassSelectFirstRegressorMethods in sklearn2pmml.ensemble with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasController & HasEstimatorSteps>
org.dmg.pmml.mining.MiningModelSelectFirstUtil. encodeSelectFirstEstimator(E ensembleEstimator, org.jpmml.converter.Schema schema)Methods in sklearn2pmml.ensemble that return Estimator Modifier and Type Method Description EstimatorLink. getEstimator()Methods in sklearn2pmml.ensemble that return types with arguments of type Estimator Modifier and Type Method Description default List<? extends Estimator>HasEstimatorSteps. getEstimators()Methods in sklearn2pmml.ensemble with parameters of type Estimator Modifier and Type Method Description static org.dmg.pmml.mining.MiningModelGBDTUtil. encodeModel(Estimator gbdt, MultiOneHotEncoder ohe, List<? extends Number> coef, Number intercept, org.jpmml.converter.Schema schema) -
Uses of Estimator in sklearn2pmml.expression
Subclasses of Estimator in sklearn2pmml.expression Modifier and Type Class Description classExpressionClassifierclassExpressionRegressor -
Uses of Estimator in sklearn2pmml.ruleset
Subclasses of Estimator in sklearn2pmml.ruleset Modifier and Type Class Description classRuleSetClassifier -
Uses of Estimator in sklearn2pmml.tree
Subclasses of Estimator in sklearn2pmml.tree Modifier and Type Class Description classCHAIDClassifierclassCHAIDRegressorMethods in sklearn2pmml.tree with type parameters of type Estimator Modifier and Type Method Description static <E extends Estimator & HasTree>
org.dmg.pmml.tree.TreeModelCHAIDUtil. encodeModel(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)
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