| Modifier and Type | Interface and Description |
|---|---|
interface |
HasClassifierOptions |
| Modifier and Type | Class and Description |
|---|---|
class |
Calibrator |
class |
SkLearnClassifier |
class |
SkLearnClusterer |
class |
SkLearnRegressor |
| Modifier and Type | Method and Description |
|---|---|
static <E extends Estimator & HasFeatureNamesIn & HasSkLearnOptions> |
EstimatorUtil.encodePMML(E estimator) |
| 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 | Class and Description |
|---|---|
class |
ForestClassifier |
class |
ForestRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
GradientBoostingClassifier |
class |
GradientBoostingRegressor |
| 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 | Class and Description |
|---|---|
class |
AdaBoostRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
VotingClassifier |
class |
VotingRegressor |
| 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 | Class and Description |
|---|---|
class |
OneVsRestClassifier |
| Modifier and Type | Class and Description |
|---|---|
class |
ClassifierChain |
class |
MultiOutputClassifier |
class |
MultiOutputRegressor |
class |
RegressorChain |
| 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 | Class and Description |
|---|---|
class |
MLPClassifier |
class |
MLPRegressor |
| Modifier and Type | Class and Description |
|---|---|
class |
LibSVMClassifier |
class |
LibSVMRegressor |
class |
LinearSVC |
class |
OneClassSVM |
| Modifier and Type | Interface and Description |
|---|---|
interface |
HasTreeOptions |
| Modifier and Type | Class and Description |
|---|---|
class |
TreeClassifier |
class |
TreeRegressor |
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