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

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

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1. Grouped
2. Alphabetic
3. By Inheritance

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

1. Public
2. Protected

1.  new CountVectorizerModel(vocabulary: Array[String])
2.  new CountVectorizerModel(uid: String, vocabulary: Array[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[_]): CountVectorizerModel.this.type
8.  def clone(): AnyRef
9.  def copy(extra: ParamMap): CountVectorizerModel
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.  final def get[T](param: Param[T]): Option[T]
19.  def getBinary: Boolean
20.  final def getClass(): Class[_ <: AnyRef]
21.  final def getDefault[T](param: Param[T]): Option[T]
22.  final def getInputCol: String
23.  def getMaxDF: Double
24.  def getMinDF: Double
25.  def getMinTF: Double
26.  final def getOrDefault[T](param: Param[T]): T
27.  final def getOutputCol: String
28.  def getParam(paramName: String): Param[Any]
29.  def getVocabSize: Int
30.  final def hasDefault[T](param: Param[T]): Boolean
31.  def hasParam(paramName: String): Boolean
32.  def hasParent: Boolean
33.  def hashCode(): Int
34.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
35.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
36.  final val inputCol: Param[String]
37.  final def isDefined(param: Param[_]): Boolean
38.  final def isInstanceOf[T0]: Boolean
39.  final def isSet(param: Param[_]): Boolean
40.  def isTraceEnabled(): Boolean
41.  def log: Logger
42.  def logDebug(msg: => String, throwable: Throwable): Unit
43.  def logDebug(entry: LogEntry, throwable: Throwable): Unit
44.  def logDebug(entry: LogEntry): Unit
45.  def logDebug(msg: => String): Unit
46.  def logError(msg: => String, throwable: Throwable): Unit
47.  def logError(entry: LogEntry, throwable: Throwable): Unit
48.  def logError(entry: LogEntry): Unit
49.  def logError(msg: => String): Unit
50.  def logInfo(msg: => String, throwable: Throwable): Unit
51.  def logInfo(entry: LogEntry, throwable: Throwable): Unit
52.  def logInfo(entry: LogEntry): Unit
53.  def logInfo(msg: => String): Unit
54.  def logName: String
55.  def logTrace(msg: => String, throwable: Throwable): Unit
56.  def logTrace(entry: LogEntry, throwable: Throwable): Unit
57.  def logTrace(entry: LogEntry): Unit
58.  def logTrace(msg: => String): Unit
59.  def logWarning(msg: => String, throwable: Throwable): Unit
60.  def logWarning(entry: LogEntry, throwable: Throwable): Unit
61.  def logWarning(entry: LogEntry): Unit
62.  def logWarning(msg: => String): Unit
63.  val maxDF: DoubleParam
64.  val minDF: DoubleParam
65.  val minTF: DoubleParam
66.  final def ne(arg0: AnyRef): Boolean
67.  final def notify(): Unit
68.  final def notifyAll(): Unit
69.  final val outputCol: Param[String]
70.  lazy val params: Array[Param[_]]
71.  var parent: Estimator[CountVectorizerModel]
72.  def save(path: String): Unit
73.  final def set(paramPair: ParamPair[_]): CountVectorizerModel.this.type
74.  final def set(param: String, value: Any): CountVectorizerModel.this.type
75.  final def set[T](param: Param[T], value: T): CountVectorizerModel.this.type
76.  def setBinary(value: Boolean): CountVectorizerModel.this.type
77.  final def setDefault(paramPairs: ParamPair[_]*): CountVectorizerModel.this.type
78.  final def setDefault[T](param: Param[T], value: T): CountVectorizerModel.this.type
79.  def setInputCol(value: String): CountVectorizerModel.this.type
80.  def setMinTF(value: Double): CountVectorizerModel.this.type
81.  def setOutputCol(value: String): CountVectorizerModel.this.type
82.  def setParent(parent: Estimator[CountVectorizerModel]): CountVectorizerModel
83.  final def synchronized[T0](arg0: => T0): T0
84.  def toString(): String
85.  def transform(dataset: Dataset[_]): DataFrame
86.  def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
87.  def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
88.  def transformSchema(schema: StructType): StructType
89.  def transformSchema(schema: StructType, logging: Boolean): StructType
90.  val uid: String
91.  def validateAndTransformSchema(schema: StructType): StructType
92.  val vocabSize: IntParam
93.  val vocabulary: Array[String]
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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