Class XGBRegressor

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable, java.util.Map<java.lang.String,​java.lang.Object>, org.jpmml.converter.HasNativeConfiguration, org.jpmml.converter.HasOptions, org.jpmml.sklearn.Encodable, org.jpmml.xgboost.HasXGBoostOptions, sklearn.HasNumberOfFeatures, sklearn.HasNumberOfOutputs, sklearn.HasType, sklearn2pmml.HasPMMLOptions<sklearn.Estimator>, sklearn2pmml.HasPMMLSegmentId<sklearn.Estimator>, HasBooster

    public class XGBRegressor
    extends sklearn.Regressor
    implements HasBooster, org.jpmml.xgboost.HasXGBoostOptions, org.jpmml.sklearn.Encodable
    See Also:
    Serialized Form
    • Nested Class Summary

      • Nested classes/interfaces inherited from class java.util.AbstractMap

        java.util.AbstractMap.SimpleEntry<K extends java.lang.Object,​V extends java.lang.Object>, java.util.AbstractMap.SimpleImmutableEntry<K extends java.lang.Object,​V extends java.lang.Object>
      • Nested classes/interfaces inherited from interface java.util.Map

        java.util.Map.Entry<K extends java.lang.Object,​V extends java.lang.Object>
    • Field Summary

      • Fields inherited from class sklearn.Estimator

        FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT
      • Fields inherited from interface sklearn.HasNumberOfFeatures

        UNKNOWN
      • Fields inherited from interface sklearn.HasNumberOfOutputs

        UNKNOWN
      • Fields inherited from interface org.jpmml.xgboost.HasXGBoostOptions

        OPTION_BYTE_ORDER, OPTION_CHARSET, OPTION_COMPACT, OPTION_INPUT_FLOAT, OPTION_MISSING, OPTION_NTREE_LIMIT, OPTION_NUMERIC, OPTION_PRUNE
    • Constructor Summary

      Constructors 
      Constructor Description
      XGBRegressor​(java.lang.String module, java.lang.String name)  
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void checkLabel​(org.jpmml.converter.Label label)  
      org.dmg.pmml.mining.MiningModel configureModel​(org.dmg.pmml.Model model)  
      org.jpmml.converter.Schema configureSchema​(org.jpmml.converter.Schema schema)  
      org.dmg.pmml.mining.MiningModel encodeModel​(org.jpmml.converter.Schema schema)  
      org.dmg.pmml.PMML encodePMML()  
      Booster getBooster()  
      org.dmg.pmml.DataType getDataType()  
      int getNumberOfFeatures()  
      • Methods inherited from class sklearn.Regressor

        encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervised
      • Methods inherited from class sklearn.Estimator

        addFeatureImportances, checkFeatures, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId
      • Methods inherited from class sklearn.Step

        checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLName
      • 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
      • Methods inherited from class net.razorvine.pickle.objects.ClassDict

        __setstate__
      • 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
      • Methods inherited from class java.util.AbstractMap

        equals, hashCode, toString
      • Methods inherited from class java.lang.Object

        getClass, notify, notifyAll, wait, wait, wait
      • Methods inherited from interface org.jpmml.xgboost.HasXGBoostOptions

        getNativeConfiguration
      • Methods inherited from interface java.util.Map

        equals, hashCode
    • Constructor Detail

      • XGBRegressor

        public XGBRegressor​(java.lang.String module,
                            java.lang.String name)
    • Method Detail

      • getNumberOfFeatures

        public int getNumberOfFeatures()
        Specified by:
        getNumberOfFeatures in interface sklearn.HasNumberOfFeatures
        Overrides:
        getNumberOfFeatures in class sklearn.Estimator
      • getDataType

        public org.dmg.pmml.DataType getDataType()
        Specified by:
        getDataType in interface sklearn.HasType
        Overrides:
        getDataType in class sklearn.Estimator
      • checkLabel

        public void checkLabel​(org.jpmml.converter.Label label)
        Overrides:
        checkLabel in class sklearn.Estimator
      • encodeModel

        public org.dmg.pmml.mining.MiningModel encodeModel​(org.jpmml.converter.Schema schema)
        Specified by:
        encodeModel in class sklearn.Estimator
      • configureSchema

        public org.jpmml.converter.Schema configureSchema​(org.jpmml.converter.Schema schema)
        Overrides:
        configureSchema in class sklearn.Estimator
      • configureModel

        public org.dmg.pmml.mining.MiningModel configureModel​(org.dmg.pmml.Model model)
        Overrides:
        configureModel in class sklearn.Estimator
      • encodePMML

        public org.dmg.pmml.PMML encodePMML()
        Specified by:
        encodePMML in interface org.jpmml.sklearn.Encodable