public abstract class BaseLibSVMRegressor extends Regressor
| Constructor and Description |
|---|
BaseLibSVMRegressor(java.lang.String module,
java.lang.String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.support_vector_machine.SupportVectorMachineModel |
encodeModel(org.jpmml.converter.Schema schema) |
java.lang.Double |
getCoef0() |
java.lang.Integer |
getDegree() |
java.util.List<? extends java.lang.Number> |
getDualCoef() |
java.lang.Double |
getGamma() |
java.util.List<? extends java.lang.Number> |
getIntercept() |
java.lang.String |
getKernel() |
int |
getNumberOfFeatures() |
java.util.List<java.lang.Integer> |
getSupport() |
java.util.List<? extends java.lang.Number> |
getSupportVectors() |
int[] |
getSupportVectorsShape() |
getMiningFunction, isSupervisedgetDataType, getOpTypeget, getArray, getArray, getArrayShape, getArrayShape, getList, getList, getOption, getTupleListclear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, valuespublic BaseLibSVMRegressor(java.lang.String module,
java.lang.String name)
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 java.lang.String getKernel()
public java.lang.Integer getDegree()
public java.lang.Double getGamma()
public java.lang.Double getCoef0()
public java.util.List<java.lang.Integer> getSupport()
public java.util.List<? extends java.lang.Number> getSupportVectors()
public int[] getSupportVectorsShape()
public java.util.List<? extends java.lang.Number> getDualCoef()
public java.util.List<? extends java.lang.Number> getIntercept()
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