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Showing content from http://spark.apache.org/docs/latest/api/scala/org/apache/spark/ml/feature/CountVectorizer.html below:

Spark 4.0.0 ScalaDoc - org.apache.spark.ml.feature.CountVectorizer

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1. Grouped
2. Alphabetic
3. By Inheritance

1. CountVectorizer
2. DefaultParamsWritable
3. MLWritable
4. CountVectorizerParams
5. HasOutputCol
6. HasInputCol
7. Estimator
8. PipelineStage
9. Logging
10. Params
11. Serializable
12. Identifiable
13. AnyRef
14. Any

1. Public
2. Protected

1.  new CountVectorizer()
2.  new CountVectorizer(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.  val binary: BooleanParam
7.  final def clear(param: Param[_]): CountVectorizer.this.type
8.  def clone(): AnyRef
9.  def copy(extra: ParamMap): CountVectorizer
10.  def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T
11.  final def defaultCopy[T <: Params](extra: ParamMap): T
12.  final def eq(arg0: AnyRef): Boolean
13.  def equals(arg0: AnyRef): Boolean
14.  def explainParam(param: Param[_]): String
15.  def explainParams(): String
16.  final def extractParamMap(): ParamMap
17.  final def extractParamMap(extra: ParamMap): ParamMap
18.  def fit(dataset: Dataset[_]): CountVectorizerModel
19.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[CountVectorizerModel]
20.  def fit(dataset: Dataset[_], paramMap: ParamMap): CountVectorizerModel
21.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): CountVectorizerModel
22.  final def get[T](param: Param[T]): Option[T]
23.  def getBinary: Boolean
24.  final def getClass(): Class[_ <: AnyRef]
25.  final def getDefault[T](param: Param[T]): Option[T]
26.  final def getInputCol: String
27.  def getMaxDF: Double
28.  def getMinDF: Double
29.  def getMinTF: Double
30.  final def getOrDefault[T](param: Param[T]): T
31.  final def getOutputCol: String
32.  def getParam(paramName: String): Param[Any]
33.  def getVocabSize: Int
34.  final def hasDefault[T](param: Param[T]): Boolean
35.  def hasParam(paramName: String): Boolean
36.  def hashCode(): Int
37.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
38.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
39.  final val inputCol: Param[String]
40.  final def isDefined(param: Param[_]): Boolean
41.  final def isInstanceOf[T0]: Boolean
42.  final def isSet(param: Param[_]): Boolean
43.  def isTraceEnabled(): Boolean
44.  def log: Logger
45.  def logDebug(msg: => String, throwable: Throwable): Unit
46.  def logDebug(entry: LogEntry, throwable: Throwable): Unit
47.  def logDebug(entry: LogEntry): Unit
48.  def logDebug(msg: => String): Unit
49.  def logError(msg: => String, throwable: Throwable): Unit
50.  def logError(entry: LogEntry, throwable: Throwable): Unit
51.  def logError(entry: LogEntry): Unit
52.  def logError(msg: => String): Unit
53.  def logInfo(msg: => String, throwable: Throwable): Unit
54.  def logInfo(entry: LogEntry, throwable: Throwable): Unit
55.  def logInfo(entry: LogEntry): Unit
56.  def logInfo(msg: => String): Unit
57.  def logName: String
58.  def logTrace(msg: => String, throwable: Throwable): Unit
59.  def logTrace(entry: LogEntry, throwable: Throwable): Unit
60.  def logTrace(entry: LogEntry): Unit
61.  def logTrace(msg: => String): Unit
62.  def logWarning(msg: => String, throwable: Throwable): Unit
63.  def logWarning(entry: LogEntry, throwable: Throwable): Unit
64.  def logWarning(entry: LogEntry): Unit
65.  def logWarning(msg: => String): Unit
66.  val maxDF: DoubleParam
67.  val minDF: DoubleParam
68.  val minTF: DoubleParam
69.  final def ne(arg0: AnyRef): Boolean
70.  final def notify(): Unit
71.  final def notifyAll(): Unit
72.  final val outputCol: Param[String]
73.  lazy val params: Array[Param[_]]
74.  def save(path: String): Unit
75.  final def set(paramPair: ParamPair[_]): CountVectorizer.this.type
76.  final def set(param: String, value: Any): CountVectorizer.this.type
77.  final def set[T](param: Param[T], value: T): CountVectorizer.this.type
78.  def setBinary(value: Boolean): CountVectorizer.this.type
79.  final def setDefault(paramPairs: ParamPair[_]*): CountVectorizer.this.type
80.  final def setDefault[T](param: Param[T], value: T): CountVectorizer.this.type
81.  def setInputCol(value: String): CountVectorizer.this.type
82.  def setMaxDF(value: Double): CountVectorizer.this.type
83.  def setMinDF(value: Double): CountVectorizer.this.type
84.  def setMinTF(value: Double): CountVectorizer.this.type
85.  def setOutputCol(value: String): CountVectorizer.this.type
86.  def setVocabSize(value: Int): CountVectorizer.this.type
87.  final def synchronized[T0](arg0: => T0): T0
88.  def toString(): String
89.  def transformSchema(schema: StructType): StructType
90.  def transformSchema(schema: StructType, logging: Boolean): StructType
91.  val uid: String
92.  def validateAndTransformSchema(schema: StructType): StructType
93.  val vocabSize: IntParam
94.  final def wait(arg0: Long, arg1: Int): Unit
95.  final def wait(arg0: Long): Unit
96.  final def wait(): Unit
97.  def withLogContext(context: Map[String, String])(body: => Unit): Unit
98.  def write: MLWriter

1.  def finalize(): Unit

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