Package sklearn.svm
Class LibSVMClassifier
- java.lang.Object
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- java.util.AbstractMap<K,V>
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- java.util.HashMap<java.lang.String,java.lang.Object>
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- net.razorvine.pickle.objects.ClassDict
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- org.jpmml.python.PythonObject
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- sklearn.Step
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- sklearn.Estimator
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- sklearn.Classifier
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- sklearn.SkLearnClassifier
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- sklearn.svm.LibSVMClassifier
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- All Implemented Interfaces:
java.io.Serializable,java.lang.Cloneable,java.util.Map<java.lang.String,java.lang.Object>,org.jpmml.converter.HasOptions,Encodable,HasSkLearnOptions,HasClasses,HasFeatureNamesIn,HasNumberOfFeatures,HasNumberOfOutputs,HasType,HasPMMLOptions<Estimator>,HasPMMLSegmentId<Estimator>
public class LibSVMClassifier extends SkLearnClassifier
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description static java.util.List<java.lang.String>ENUM_KERNELstatic java.lang.StringKERNEL_LINEARstatic java.lang.StringKERNEL_POLYstatic java.lang.StringKERNEL_RBFstatic java.lang.StringKERNEL_SIGMOID-
Fields inherited from class sklearn.Classifier
FIELD_PROBABILITY
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Fields inherited from class sklearn.Estimator
FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT
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Fields inherited from interface sklearn.HasNumberOfFeatures
UNKNOWN
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Fields inherited from interface sklearn.HasNumberOfOutputs
UNKNOWN
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Constructor Summary
Constructors Constructor Description LibSVMClassifier(java.lang.String module, java.lang.String name)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description org.dmg.pmml.support_vector_machine.SupportVectorMachineModelencodeModel(org.jpmml.converter.Schema schema)java.lang.NumbergetCoef0()java.lang.IntegergetDegree()java.util.List<java.lang.Number>getDualCoef()java.lang.NumbergetGamma()java.util.List<java.lang.Number>getIntercept()java.lang.StringgetKernel()intgetNumberOfFeatures()java.util.List<java.lang.Integer>getSupport()java.util.List<java.lang.Integer>getSupportSizes()java.util.List<java.lang.Number>getSupportVectors()int[]getSupportVectorsShape()booleanhasProbabilityDistribution()-
Methods inherited from class sklearn.SkLearnClassifier
encodePMML
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Methods inherited from class sklearn.Classifier
canonicalizeValue, canonicalizeValues, encodeLabel, encodePredictProbaOutput, getClasses, getMiningFunction, getNumberOfOutputs, isSupervised
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Methods inherited from class sklearn.Estimator
addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getDataType, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId
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Methods inherited from class sklearn.Step
checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLName
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Methods inherited from class org.jpmml.python.PythonObject
containsKey, 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, update
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Methods inherited from class java.util.HashMap
clear, clone, compute, computeIfAbsent, computeIfPresent, containsValue, entrySet, forEach, getOrDefault, isEmpty, keySet, merge, putIfAbsent, remove, replace, replace, replaceAll, size, values
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Methods inherited from interface sklearn.HasFeatureNamesIn
getFeatureNamesIn
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Field Detail
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KERNEL_LINEAR
public static final java.lang.String KERNEL_LINEAR
- See Also:
- Constant Field Values
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KERNEL_POLY
public static final java.lang.String KERNEL_POLY
- See Also:
- Constant Field Values
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KERNEL_RBF
public static final java.lang.String KERNEL_RBF
- See Also:
- Constant Field Values
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KERNEL_SIGMOID
public static final java.lang.String KERNEL_SIGMOID
- See Also:
- Constant Field Values
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ENUM_KERNEL
public static final java.util.List<java.lang.String> ENUM_KERNEL
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Method Detail
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getNumberOfFeatures
public int getNumberOfFeatures()
- Specified by:
getNumberOfFeaturesin interfaceHasNumberOfFeatures- Overrides:
getNumberOfFeaturesin classEstimator
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hasProbabilityDistribution
public boolean hasProbabilityDistribution()
- Specified by:
hasProbabilityDistributionin interfaceHasClasses- Overrides:
hasProbabilityDistributionin classClassifier
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encodeModel
public org.dmg.pmml.support_vector_machine.SupportVectorMachineModel encodeModel(org.jpmml.converter.Schema schema)
- Specified by:
encodeModelin classEstimator
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getKernel
public java.lang.String getKernel()
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getDegree
public java.lang.Integer getDegree()
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getGamma
public java.lang.Number getGamma()
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getCoef0
public java.lang.Number getCoef0()
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getSupport
public java.util.List<java.lang.Integer> getSupport()
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getSupportVectors
public java.util.List<java.lang.Number> getSupportVectors()
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getSupportVectorsShape
public int[] getSupportVectorsShape()
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getSupportSizes
public java.util.List<java.lang.Integer> getSupportSizes()
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getDualCoef
public java.util.List<java.lang.Number> getDualCoef()
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getIntercept
public java.util.List<java.lang.Number> getIntercept()
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