public class GaussianNB extends Classifier
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>| Constructor and Description |
|---|
GaussianNB(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.naive_bayes.NaiveBayesModel |
encodeModel(org.jpmml.converter.Schema schema) |
List<Integer> |
getClassCount() |
int |
getNumberOfFeatures() |
List<? extends Number> |
getSigma() |
List<? extends Number> |
getTheta() |
int[] |
getThetaShape() |
getClasses, getMiningFunction, hasProbabilityDistribution, isSupervisedgetDataType, getOption, getOpTypeget, getArray, getArray, getArrayShape, getArrayShape, getList, getList, getScalar, getTupleListclear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringpublic 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 int[] getThetaShape()
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