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Showing content from https://spark.apache.org/docs/latest/api/scala/org/apache/spark/ml/classification/NaiveBayes.html below:

Spark 4.0.0 ScalaDoc - org.apache.spark.ml.classification.NaiveBayes

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1. Grouped
2. Alphabetic
3. By Inheritance

1. NaiveBayes
2. DefaultParamsWritable
3. MLWritable
4. NaiveBayesParams
5. HasWeightCol
6. ProbabilisticClassifier
7. ProbabilisticClassifierParams
8. HasThresholds
9. HasProbabilityCol
10. Classifier
11. ClassifierParams
12. HasRawPredictionCol
13. Predictor
14. PredictorParams
15. HasPredictionCol
16. HasFeaturesCol
17. HasLabelCol
18. Estimator
19. PipelineStage
20. Logging
21. Params
22. Serializable
23. Identifiable
24. AnyRef
25. Any

1. Public
2. Protected

1.  new NaiveBayes()
2.  new NaiveBayes(uid: String)

1.  implicit class LogStringContext extends AnyRef

1.  final def !=(arg0: Any): Boolean
2.  final def ##: Int
3.  final def $[T](param: Param[T]): T
4.  final def ==(arg0: Any): Boolean
5.  final def asInstanceOf[T0]: T0
6.  final def clear(param: Param[_]): NaiveBayes.this.type
7.  def clone(): AnyRef
8.  def copy(extra: ParamMap): NaiveBayes
9.  def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T
10.  final def defaultCopy[T <: Params](extra: ParamMap): T
11.  final def eq(arg0: AnyRef): Boolean
12.  def equals(arg0: AnyRef): Boolean
13.  def explainParam(param: Param[_]): String
14.  def explainParams(): String
15.  final def extractParamMap(): ParamMap
16.  final def extractParamMap(extra: ParamMap): ParamMap
17.  final val featuresCol: Param[String]
18.  def fit(dataset: Dataset[_]): NaiveBayesModel
19.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[NaiveBayesModel]
20.  def fit(dataset: Dataset[_], paramMap: ParamMap): NaiveBayesModel
21.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): NaiveBayesModel
22.  final def get[T](param: Param[T]): Option[T]
23.  final def getClass(): Class[_ <: AnyRef]
24.  final def getDefault[T](param: Param[T]): Option[T]
25.  final def getFeaturesCol: String
26.  final def getLabelCol: String
27.  final def getModelType: String
28.  def getNumClasses(dataset: Dataset[_], maxNumClasses: Int = 100): Int
29.  final def getOrDefault[T](param: Param[T]): T
30.  def getParam(paramName: String): Param[Any]
31.  final def getPredictionCol: String
32.  final def getProbabilityCol: String
33.  final def getRawPredictionCol: String
34.  final def getSmoothing: Double
35.  def getThresholds: Array[Double]
36.  final def getWeightCol: String
37.  final def hasDefault[T](param: Param[T]): Boolean
38.  def hasParam(paramName: String): Boolean
39.  def hashCode(): Int
40.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
41.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
42.  final def isDefined(param: Param[_]): Boolean
43.  final def isInstanceOf[T0]: Boolean
44.  final def isSet(param: Param[_]): Boolean
45.  def isTraceEnabled(): Boolean
46.  final val labelCol: Param[String]
47.  def log: Logger
48.  def logDebug(msg: => String, throwable: Throwable): Unit
49.  def logDebug(entry: LogEntry, throwable: Throwable): Unit
50.  def logDebug(entry: LogEntry): Unit
51.  def logDebug(msg: => String): Unit
52.  def logError(msg: => String, throwable: Throwable): Unit
53.  def logError(entry: LogEntry, throwable: Throwable): Unit
54.  def logError(entry: LogEntry): Unit
55.  def logError(msg: => String): Unit
56.  def logInfo(msg: => String, throwable: Throwable): Unit
57.  def logInfo(entry: LogEntry, throwable: Throwable): Unit
58.  def logInfo(entry: LogEntry): Unit
59.  def logInfo(msg: => String): Unit
60.  def logName: String
61.  def logTrace(msg: => String, throwable: Throwable): Unit
62.  def logTrace(entry: LogEntry, throwable: Throwable): Unit
63.  def logTrace(entry: LogEntry): Unit
64.  def logTrace(msg: => String): Unit
65.  def logWarning(msg: => String, throwable: Throwable): Unit
66.  def logWarning(entry: LogEntry, throwable: Throwable): Unit
67.  def logWarning(entry: LogEntry): Unit
68.  def logWarning(msg: => String): Unit
69.  final val modelType: Param[String]
70.  final def ne(arg0: AnyRef): Boolean
71.  final def notify(): Unit
72.  final def notifyAll(): Unit
73.  lazy val params: Array[Param[_]]
74.  final val predictionCol: Param[String]
75.  final val probabilityCol: Param[String]
76.  final val rawPredictionCol: Param[String]
77.  def save(path: String): Unit
78.  final def set(paramPair: ParamPair[_]): NaiveBayes.this.type
79.  final def set(param: String, value: Any): NaiveBayes.this.type
80.  final def set[T](param: Param[T], value: T): NaiveBayes.this.type
81.  final def setDefault(paramPairs: ParamPair[_]*): NaiveBayes.this.type
82.  final def setDefault[T](param: Param[T], value: T): NaiveBayes.this.type
83.  def setFeaturesCol(value: String): NaiveBayes
84.  def setLabelCol(value: String): NaiveBayes
85.  def setModelType(value: String): NaiveBayes.this.type
86.  def setPredictionCol(value: String): NaiveBayes
87.  def setProbabilityCol(value: String): NaiveBayes
88.  def setRawPredictionCol(value: String): NaiveBayes
89.  def setSmoothing(value: Double): NaiveBayes.this.type
90.  def setThresholds(value: Array[Double]): NaiveBayes
91.  def setWeightCol(value: String): NaiveBayes.this.type
92.  final val smoothing: DoubleParam
93.  final def synchronized[T0](arg0: => T0): T0
94.  val thresholds: DoubleArrayParam
95.  def toString(): String
96.  def train(dataset: Dataset[_]): NaiveBayesModel
97.  def transformSchema(schema: StructType): StructType
98.  def transformSchema(schema: StructType, logging: Boolean): StructType
99.  val uid: String
100.  def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
101.  final def wait(arg0: Long, arg1: Int): Unit
102.  final def wait(arg0: Long): Unit
103.  final def wait(): Unit
104.  final val weightCol: Param[String]
105.  def withLogContext(context: Map[String, String])(body: => Unit): Unit
106.  def write: MLWriter

1.  def finalize(): Unit

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