| Modifier and Type | Class and Description |
|---|---|
class |
BaseEstimator |
| Modifier and Type | Class and Description |
|---|---|
class |
LGBMClassifier |
class |
LGBMRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasBooster & org.jpmml.lightgbm.HasLightGBMOptions> |
BoosterUtil.encodeModel(E estimator,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasBooster> |
BoosterUtil.getNumberOfFeatures(E estimator) |
| Modifier and Type | Interface and Description |
|---|---|
interface |
HasEstimator<E extends Estimator> |
interface |
HasEstimatorEnsemble<E extends Estimator> |
| Modifier and Type | Class and Description |
|---|---|
class |
Classifier |
class |
Clusterer |
class |
LabelEncoderClassifier |
class |
Regressor |
| Modifier and Type | Method and Description |
|---|---|
abstract Estimator |
Composite.getFinalEstimator() |
Estimator |
Estimator.setPMMLFeatureImportances(List<? extends Number> pmmlFeatureImportances) |
Estimator |
Estimator.setPMMLOptions(Map<String,?> pmmlOptions) |
| Modifier and Type | Method and Description |
|---|---|
static List<?> |
ClassifierUtil.getClasses(Estimator estimator) |
| 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) |
| 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 |
BinMapper |
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 |
| 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 |
GaussianNB |
| Modifier and Type | Class and Description |
|---|---|
class |
KNeighborsClassifier |
class |
KNeighborsRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasNeighbors & HasTrainingData> |
KNeighborsUtil.encodeNeighbors(E estimator,
org.dmg.pmml.MiningFunction miningFunction,
int numberOfInstances,
int numberOfFeatures,
org.jpmml.converter.Schema schema) |
| Modifier and Type | Class and Description |
|---|---|
class |
MLPClassifier |
class |
MLPRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
PipelineClassifier |
class |
PipelineRegressor |
| Modifier and Type | Method and Description |
|---|---|
<E extends Estimator> |
Pipeline.getFinalEstimator(Class<? extends E> clazz) |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
Pipeline.getFinalEstimator() |
Estimator |
Pipeline.toEstimator() |
| 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,
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,
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.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 | 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 |
GBDTLMRegressor |
class |
GBDTLRClassifier |
class |
SelectFirstClassifier |
class |
SelectFirstRegressor |
| 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 |
RuleSetClassifier |
| Modifier and Type | Method and Description |
|---|---|
Estimator |
StackingEstimator.getEstimator() |
| Modifier and Type | Class and Description |
|---|---|
class |
XGBClassifier |
class |
XGBRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasBooster & org.jpmml.xgboost.HasXGBoostOptions> |
BoosterUtil.encodeBooster(E estimator,
org.jpmml.converter.Schema schema) |
static <E extends Estimator & HasBooster & org.jpmml.xgboost.HasXGBoostOptions> |
BoosterUtil.getNumberOfFeatures(E estimator) |
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