public class GaussianNB extends Classifier
| Constructor and Description |
|---|
GaussianNB(java.lang.String module,
java.lang.String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.naive_bayes.NaiveBayesModel |
encodeModel(org.jpmml.converter.Schema schema) |
java.util.List<java.lang.Integer> |
getClassCount() |
int |
getNumberOfFeatures() |
java.util.List<? extends java.lang.Number> |
getSigma() |
java.util.List<? extends java.lang.Number> |
getTheta() |
int[] |
getThetaShape() |
getClasses, getMiningFunction, hasProbabilityDistribution, isSupervisedgetDataType, getOpTypeget, getArray, getArray, getArrayShape, getArrayShape, getList, getList, getOption, getTupleListclear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, valuespublic int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic org.dmg.pmml.naive_bayes.NaiveBayesModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic java.util.List<java.lang.Integer> getClassCount()
public java.util.List<? extends java.lang.Number> getTheta()
public int[] getThetaShape()
public java.util.List<? extends java.lang.Number> getSigma()
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