| Modifier and Type | Method and Description |
|---|---|
static List<String> |
EncodableUtil.generateOutputNames(Estimator estimator) |
org.jpmml.converter.Label |
SkLearnEncoder.initLabel(Estimator estimator,
List<String> names) |
| Modifier and Type | Interface and Description |
|---|---|
interface |
HasEstimator<E extends Estimator> |
interface |
HasEstimatorEnsemble<E extends Estimator> |
| Modifier and Type | Class and Description |
|---|---|
class |
Calibrator |
class |
Classifier |
class |
Clusterer |
class |
CompositeClassifier |
class |
CompositeClusterer |
class |
CompositeRegressor |
class |
LabelEncoderClassifier |
class |
Regressor |
class |
SkLearnClassifier |
class |
SkLearnClusterer |
class |
SkLearnRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & OutlierDetector> |
OutlierDetectorUtil.createPredictedOutput(E estimator) |
static <E extends Estimator & OutlierDetector> |
OutlierDetectorUtil.createPredictedOutput(E estimator,
String name,
org.jpmml.converter.Transformation... transformations) |
static <E extends Estimator & HasFeatureNamesIn & HasSkLearnOptions> |
EstimatorUtil.encodePMML(E estimator) |
abstract <E extends Estimator> |
Composite.getFinalEstimator(Class<? extends E> clazz) |
| Modifier and Type | Method and Description |
|---|---|
abstract Estimator |
Composite.getFinalEstimator() |
Estimator |
Estimator.setPMMLFeatureImportances(List<? extends Number> pmmlFeatureImportances) |
Estimator |
Estimator.setPMMLOptions(Map<String,?> pmmlOptions) |
Estimator |
Estimator.setPMMLSegmentId(Object pmmlSegmentId) |
Estimator |
Composite.toEstimator() |
| Modifier and Type | Method and Description |
|---|---|
static org.dmg.pmml.Model |
EstimatorUtil.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 boolean |
EstimatorUtil.hasProbabilityDistribution(Estimator estimator) |
protected List<String> |
Composite.initTargetFields(Estimator estimator) |
| Modifier and Type | Method and Description |
|---|---|
static org.dmg.pmml.MiningFunction |
EstimatorUtil.getMiningFunction(List<? extends Estimator> estimators) |
| Modifier and Type | Class and Description |
|---|---|
class |
CalibratedClassifier |
class |
CalibratedClassifierCV |
class |
SigmoidCalibration |
| Modifier and Type | Class and Description |
|---|---|
class |
KMeans |
class |
MiniBatchKMeans |
| Modifier and Type | Class and Description |
|---|---|
class |
TransformedTargetRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
LinearDiscriminantAnalysis |
| Modifier and Type | Class and Description |
|---|---|
class |
DummyClassifier |
class |
DummyRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
EnsembleClassifier |
class |
EnsembleRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
BaggingClassifier |
class |
BaggingRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator> |
BaggingUtil.encodeBagging(List<E> estimators,
List<List<Integer>> estimatorsFeatures,
org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod,
org.dmg.pmml.MiningFunction miningFunction,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Class and Description |
|---|---|
class |
ForestClassifier |
class |
ForestRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasEstimatorEnsemble<T> & HasTreeOptions,T extends Estimator & HasTree> |
ForestUtil.encodeBaseForest(E estimator,
org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod,
org.dmg.pmml.MiningFunction miningFunction,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasEstimatorEnsemble<T> & HasTreeOptions,T extends Estimator & HasTree> |
ForestUtil.encodeBaseForest(E estimator,
org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod,
org.dmg.pmml.MiningFunction miningFunction,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree> |
ForestUtil.getNumberOfEstimators(E estimator) |
static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree> |
ForestUtil.getNumberOfEstimators(E estimator) |
| Modifier and Type | Class and Description |
|---|---|
class |
GradientBoostingClassifier |
class |
GradientBoostingRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasEstimatorEnsemble<TreeRegressor> & HasTreeOptions> |
GradientBoostingUtil.encodeGradientBoosting(E estimator,
Number initialPrediction,
Number learningRate,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Class and Description |
|---|---|
class |
HistGradientBoostingClassifier |
class |
HistGradientBoostingRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
IsolationForest |
| Modifier and Type | Class and Description |
|---|---|
class |
StackingClassifier |
class |
StackingRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator> |
StackingUtil.encodeStacking(List<? extends E> estimators,
List<String> stackMethods,
StackingUtil.PredictFunction predictFunction,
E finalEstimator,
boolean passthrough,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Class and Description |
|---|---|
class |
AdaBoostRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
VotingClassifier |
class |
VotingRegressor |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
SelectFromModel.getEstimator() |
| Modifier and Type | Class and Description |
|---|---|
class |
IsotonicRegression |
| Modifier and Type | Class and Description |
|---|---|
class |
LinearClassifier |
class |
LinearRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
GeneralizedLinearRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
LogisticRegression |
| Modifier and Type | Class and Description |
|---|---|
class |
RidgeClassifier |
| Modifier and Type | Class and Description |
|---|---|
class |
SGDClassifier |
class |
SGDOneClassSVM |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
EstimatorSearcher.getBestEstimator() |
Estimator |
EstimatorSearcher.getBestEstimator(Class<? extends Estimator> clazz) |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
EstimatorSearcher.getBestEstimator(Class<? extends Estimator> clazz) |
| Modifier and Type | Class and Description |
|---|---|
class |
OneVsRestClassifier |
| Modifier and Type | Class and Description |
|---|---|
class |
ClassifierChain |
class |
MultiOutputClassifier |
class |
MultiOutputRegressor |
class |
RegressorChain |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator> |
ChainUtil.encodeChain(List<E> estimators,
List<Integer> order,
org.jpmml.converter.Schema schema) |
static <E extends Estimator> |
MultiOutputUtil.encodeEstimators(List<E> estimators,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Class and Description |
|---|---|
class |
GaussianNB |
| Modifier and Type | Class and Description |
|---|---|
class |
KNeighborsClassifier |
class |
KNeighborsRegressor |
class |
NearestCentroid |
class |
NearestNeighbors |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasMetric & HasNumberOfNeighbors & HasTrainingData> |
KNeighborsUtil.encodeNeighbors(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
int numberOfInstances,
int numberOfFeatures,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasTrainingData> |
KNeighborsUtil.getNumberOfOutputs(E estimator) |
| Modifier and Type | Class and Description |
|---|---|
class |
MLPClassifier |
class |
MLPRegressor |
| Modifier and Type | Method and Description |
|---|---|
<E extends Estimator> |
SkLearnPipeline.getFinalEstimator(Class<? extends E> clazz) |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
SkLearnPipeline.getFinalEstimator() |
| Modifier and Type | Class and Description |
|---|---|
class |
LibSVMClassifier |
class |
LibSVMRegressor |
class |
LinearSVC |
class |
OneClassSVM |
| Modifier and Type | Class and Description |
|---|---|
class |
TreeClassifier |
class |
TreeRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasTree> |
TreeUtil.encodeTreeModel(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
Boolean numeric,
org.jpmml.converter.PredicateManager predicateManager,
org.jpmml.converter.ScoreDistributionManager scoreDistributionManager,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasTree> |
TreeUtil.encodeTreeModel(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree> |
TreeUtil.encodeTreeModelEnsemble(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
Boolean numeric,
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> |
TreeUtil.encodeTreeModelEnsemble(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
Boolean numeric,
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> |
TreeUtil.encodeTreeModelEnsemble(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasEstimatorEnsemble<T>,T extends Estimator & HasTree> |
TreeUtil.encodeTreeModelEnsemble(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasTreeOptions,M extends org.dmg.pmml.Model> |
TreeUtil.transform(E estimator,
M model) |
| Modifier and Type | Interface and Description |
|---|---|
interface |
HasPMMLSegmentId<E extends Estimator> |
| Modifier and Type | Class and Description |
|---|---|
class |
EstimatorProxy |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
EstimatorProxy.getEstimator() |
| Modifier and Type | Method and Description |
|---|---|
static String |
EstimatorProxy.formatProxyExample(Estimator estimator) |
| Modifier and Type | Class and Description |
|---|---|
class |
EstimatorChain |
class |
GBDTLMRegressor |
class |
GBDTLRClassifier |
class |
Link |
class |
OrdinalClassifier |
class |
SelectFirstClassifier |
class |
SelectFirstRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasEstimatorSteps> |
SelectFirstUtil.encodeSelectFirstEstimator(E ensembleEstimator,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
Link.getEstimator() |
| Modifier and Type | Method and Description |
|---|---|
default List<? extends Estimator> |
HasEstimatorSteps.getEstimators() |
| Modifier and Type | Method and Description |
|---|---|
static org.dmg.pmml.mining.MiningModel |
GBDTUtil.encodeModel(Estimator gbdt,
MultiOneHotEncoder ohe,
List<? extends Number> coef,
Number intercept,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Class and Description |
|---|---|
class |
ExpressionClassifier |
class |
ExpressionRegressor |
| Modifier and Type | Method and Description |
|---|---|
protected List<String> |
PMMLPipeline.initTargetFields(Estimator estimator) |
| Modifier and Type | Class and Description |
|---|---|
class |
RuleSetClassifier |
| Modifier and Type | Class and Description |
|---|---|
class |
CHAIDClassifier |
class |
CHAIDRegressor |
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