public class LibSVMRegressor extends SkLearnRegressor
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>| Modifier and Type | Field and Description |
|---|---|
static List<String> |
ENUM_KERNEL |
static String |
KERNEL_LINEAR |
static String |
KERNEL_POLY |
static String |
KERNEL_RBF |
static String |
KERNEL_SIGMOID |
FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTUNKNOWNUNKNOWN| Constructor and Description |
|---|
LibSVMRegressor(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.support_vector_machine.SupportVectorMachineModel |
encodeModel(org.jpmml.converter.Schema schema) |
Number |
getCoef0() |
Integer |
getDegree() |
List<Number> |
getDualCoef() |
Number |
getGamma() |
List<Number> |
getIntercept() |
String |
getKernel() |
int |
getNumberOfFeatures() |
List<Integer> |
getSupport() |
List<Number> |
getSupportVectors() |
int[] |
getSupportVectorsShape() |
encodePMMLencodeLabel, encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervisedaddFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLNamecontainsKey, delattr, get, get, getArray, getArray, getArray, getArrayList, getArrayList, getArrayShape, getArrayShape, getattr, getattr, getBoolean, getBooleanArray, getClassName, getDict, getEnum, getEnumList, getIdentifiable, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getObjectArray, getObjectList, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalDict, getOptionalEnum, getOptionalIdentifiable, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getOptionalTuple, getPythonModule, getPythonName, getScalar, getString, getStringArray, getStringList, getTuple, getTupleList, hasattr, put, putAll, remove, setattr, setClassName, updateclear, clone, compute, computeIfAbsent, computeIfPresent, containsValue, entrySet, forEach, getOrDefault, isEmpty, keySet, merge, putIfAbsent, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringfinalize, getClass, notify, notifyAll, wait, wait, waitgetFeatureNamesInpublic static final String KERNEL_LINEAR
public static final String KERNEL_POLY
public static final String KERNEL_RBF
public static final String KERNEL_SIGMOID
public int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic org.dmg.pmml.support_vector_machine.SupportVectorMachineModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic String getKernel()
public Integer getDegree()
public Number getGamma()
public Number getCoef0()
public int[] getSupportVectorsShape()
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