Spark 3.5.5 ScalaDoc - org.apache.spark.ml.PipelineModel (original) (raw)

class PipelineModel extends Model[PipelineModel] with MLWritable with Logging

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Inherited

1. PipelineModel

2. MLWritable

3. Model

4. Transformer

5. PipelineStage

6. Logging

7. Params

8. Serializable

9. Serializable

10. Identifiable

11. AnyRef

12. Any

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Value Members

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[_]): PipelineModel.this.type
7.  def clone(): AnyRef
8.  def copy(extra: ParamMap): PipelineModel
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: Any): Boolean
13.  def explainParam(param: Param[_]): String
14.  def explainParams(): String
15.  final def extractParamMap(): ParamMap
16.  final def extractParamMap(extra: ParamMap): ParamMap
17.  def finalize(): Unit
18.  final def get[T](param: Param[T]): Option[T]
19.  final def getClass(): Class[_]
20.  final def getDefault[T](param: Param[T]): Option[T]
21.  final def getOrDefault[T](param: Param[T]): T
22.  def getParam(paramName: String): Param[Any]
23.  final def hasDefault[T](param: Param[T]): Boolean
24.  def hasParam(paramName: String): Boolean
25.  def hasParent: Boolean
26.  def hashCode(): Int
27.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
28.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
29.  final def isDefined(param: Param[_]): Boolean
30.  final def isInstanceOf[T0]: Boolean
31.  final def isSet(param: Param[_]): Boolean
32.  def isTraceEnabled(): Boolean
33.  def log: Logger
34.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
35.  def logDebug(msg: ⇒ String): Unit
36.  def logError(msg: ⇒ String, throwable: Throwable): Unit
37.  def logError(msg: ⇒ String): Unit
38.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
39.  def logInfo(msg: ⇒ String): Unit
40.  def logName: String
41.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
42.  def logTrace(msg: ⇒ String): Unit
43.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
44.  def logWarning(msg: ⇒ String): Unit
45.  final def ne(arg0: AnyRef): Boolean
46.  final def notify(): Unit
47.  final def notifyAll(): Unit
48.  lazy val params: Array[Param[_]]
49.  var parent: Estimator[PipelineModel]
50.  def save(path: String): Unit
51.  final def set(paramPair: ParamPair[_]): PipelineModel.this.type
52.  final def set(param: String, value: Any): PipelineModel.this.type
53.  final def set[T](param: Param[T], value: T): PipelineModel.this.type
54.  final def setDefault(paramPairs: ParamPair[_]*): PipelineModel.this.type
55.  final def setDefault[T](param: Param[T], value: T): PipelineModel.this.type
56.  def setParent(parent: Estimator[PipelineModel]): PipelineModel
57.  val stages: Array[Transformer]
58.  final def synchronized[T0](arg0: ⇒ T0): T0
59.  def toString(): String
60.  def transform(dataset: Dataset[_]): DataFrame
61.  def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
62.  def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
63.  def transformSchema(schema: StructType): StructType
64.  def transformSchema(schema: StructType, logging: Boolean): StructType
65.  val uid: String
66.  final def wait(): Unit
67.  final def wait(arg0: Long, arg1: Int): Unit
68.  final def wait(arg0: Long): Unit
69.  def write: MLWriter

Members