Class GradientBoostingClassifier
- java.lang.Object
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- java.util.AbstractMap<K,V>
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- java.util.HashMap<String,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.ensemble.gradient_boosting.GradientBoostingClassifier
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- All Implemented Interfaces:
Serializable,Cloneable,Map<String,Object>,org.jpmml.converter.HasNativeConfiguration,org.jpmml.converter.HasOptions,Encodable,HasSkLearnOptions,HasClasses,HasEstimatorEnsemble<TreeRegressor>,HasFeatureNamesIn,HasMultiDecisionFunctionField,HasNumberOfFeatures,HasNumberOfOutputs,HasType,HasTreeOptions,HasPMMLOptions<Estimator>,HasPMMLSegmentId<Estimator>
public class GradientBoostingClassifier extends SkLearnClassifier implements HasEstimatorEnsemble<TreeRegressor>, HasMultiDecisionFunctionField, HasTreeOptions
- See Also:
- Serialized Form
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Nested Class Summary
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Nested classes/interfaces inherited from class java.util.AbstractMap
AbstractMap.SimpleEntry<K extends Object,V extends Object>, AbstractMap.SimpleImmutableEntry<K extends Object,V extends Object>
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Field Summary
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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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Fields inherited from interface sklearn.tree.HasTreeOptions
OPTION_ALLOW_MISSING, OPTION_COMPACT, OPTION_FLAT, OPTION_INPUT_FLOAT, OPTION_NODE_EXTENSIONS, OPTION_NODE_ID, OPTION_NODE_SCORE, OPTION_NUMERIC, OPTION_PRUNE, OPTION_WINNER_ID
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Constructor Summary
Constructors Constructor Description GradientBoostingClassifier(String module, String name)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description org.dmg.pmml.ModelconfigureModel(org.dmg.pmml.Model model)org.jpmml.converter.SchemaconfigureSchema(org.jpmml.converter.Schema schema)org.dmg.pmml.mining.MiningModelencodeModel(org.jpmml.converter.Schema schema)org.dmg.pmml.DataTypegetDataType()List<TreeRegressor>getEstimators()HasPriorProbabilitygetInit()NumbergetLearningRate()org.jpmml.python.PythonObjectgetLoss()intgetNumberOfFeatures()-
Methods inherited from class sklearn.SkLearnClassifier
encodePMML
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Methods inherited from class sklearn.Classifier
canonicalizeValue, canonicalizeValues, encodeLabel, encodePredictProbaOutput, getClasses, getMiningFunction, getNumberOfOutputs, hasProbabilityDistribution, isSupervised
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Methods inherited from class sklearn.Estimator
addFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, 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 class java.util.AbstractMap
equals, hashCode, toString
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Methods inherited from interface sklearn.HasFeatureNamesIn
getFeatureNamesIn
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Methods inherited from interface sklearn.HasMultiDecisionFunctionField
getMultiDecisionFunctionField
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Methods inherited from interface sklearn.tree.HasTreeOptions
getNativeConfiguration
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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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getDataType
public org.dmg.pmml.DataType getDataType()
- Specified by:
getDataTypein interfaceHasType- Overrides:
getDataTypein classEstimator
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encodeModel
public org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)
- Specified by:
encodeModelin classEstimator
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configureSchema
public org.jpmml.converter.Schema configureSchema(org.jpmml.converter.Schema schema)
- Overrides:
configureSchemain classEstimator
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configureModel
public org.dmg.pmml.Model configureModel(org.dmg.pmml.Model model)
- Overrides:
configureModelin classEstimator
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getEstimators
public List<TreeRegressor> getEstimators()
- Specified by:
getEstimatorsin interfaceHasEstimatorEnsemble<TreeRegressor>
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getInit
public HasPriorProbability getInit()
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getLearningRate
public Number getLearningRate()
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getLoss
public org.jpmml.python.PythonObject getLoss()
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