Class Hierarchy
- java.lang.Object
- java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
- java.util.HashMap<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
- net.razorvine.pickle.objects.ClassDict
- org.jpmml.python.PythonObject
- sklearn.ensemble.gradient_boosting.LogOddsEstimator (implements sklearn.HasPriorProbability)
- sklearn.ensemble.gradient_boosting.ScaledLogOddsEstimator
- sklearn.ensemble.gradient_boosting.LossFunction
- sklearn.ensemble.gradient_boosting.BinomialDeviance
- sklearn.ensemble.gradient_boosting.ExponentialLoss
- sklearn.ensemble.gradient_boosting.MultinomialDeviance
- sklearn.ensemble.gradient_boosting.MeanEstimator (implements sklearn.HasDefaultValue)
- sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator (implements sklearn.HasPriorProbability)
- sklearn.ensemble.gradient_boosting.QuantileEstimator (implements sklearn.HasDefaultValue)
- sklearn.Step (implements sklearn.HasNumberOfFeatures, sklearn.HasType)
- sklearn.Estimator (implements sklearn.HasNumberOfOutputs)
- sklearn.Classifier (implements sklearn.HasClasses)
- sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
- sklearn.Regressor
- sklearn.ensemble.gradient_boosting.GradientBoostingRegressor (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
- sklearn.Classifier (implements sklearn.HasClasses)
- sklearn.Estimator (implements sklearn.HasNumberOfOutputs)
- sklearn.ensemble.gradient_boosting.ZeroEstimator (implements sklearn.HasDefaultValue, sklearn.HasPriorProbability)
- sklearn.ensemble.gradient_boosting.LogOddsEstimator (implements sklearn.HasPriorProbability)
- org.jpmml.python.PythonObject
- net.razorvine.pickle.objects.ClassDict
- java.util.HashMap<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
- sklearn.ensemble.gradient_boosting.GradientBoostingUtil
- java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)