Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://api-docs.databricks.com/scala/spark/latest/org/apache/spark/ml/Pipeline.html below:

Databricks Scala Spark API - org.apache.spark.ml.Pipeline

 

1. Grouped
2. Alphabetic
3. By Inheritance

1. Pipeline
2. MLWritable
3. Estimator
4. PipelineStage
5. Logging
6. Params
7. Serializable
8. Serializable
9. Identifiable
10. AnyRef
11. Any

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

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[_]): Pipeline.this.type
7.  def clone(): AnyRef
8.  def copy(extra: ParamMap): Pipeline
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.  def fit(dataset: Dataset[_]): PipelineModel
19.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[PipelineModel]
20.  def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel
21.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel
22.  final def get[T](param: Param[T]): Option[T]
23.  final def getClass(): Class[_]
24.  final def getDefault[T](param: Param[T]): Option[T]
25.  final def getOrDefault[T](param: Param[T]): T
26.  def getParam(paramName: String): Param[Any]
27.  def getStages: Array[PipelineStage]
28.  final def hasDefault[T](param: Param[T]): Boolean
29.  def hasParam(paramName: String): Boolean
30.  def hashCode(): Int
31.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
32.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
33.  final def isDefined(param: Param[_]): Boolean
34.  final def isInstanceOf[T0]: Boolean
35.  final def isSet(param: Param[_]): Boolean
36.  def isTraceEnabled(): Boolean
37.  def log: Logger
38.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
39.  def logDebug(msg: ⇒ String): Unit
40.  def logError(msg: ⇒ String, throwable: Throwable): Unit
41.  def logError(msg: ⇒ String): Unit
42.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
43.  def logInfo(msg: ⇒ String): Unit
44.  def logName: String
45.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
46.  def logTrace(msg: ⇒ String): Unit
47.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
48.  def logWarning(msg: ⇒ String): Unit
49.  final def ne(arg0: AnyRef): Boolean
50.  final def notify(): Unit
51.  final def notifyAll(): Unit
52.  lazy val params: Array[Param[_]]
53.  def save(path: String): Unit
54.  final def set(paramPair: ParamPair[_]): Pipeline.this.type
55.  final def set(param: String, value: Any): Pipeline.this.type
56.  final def set[T](param: Param[T], value: T): Pipeline.this.type
57.  final def setDefault(paramPairs: ParamPair[_]*): Pipeline.this.type
58.  final def setDefault[T](param: Param[T], value: T): Pipeline.this.type
59.  def setStages(value: Array[_ <: PipelineStage]): Pipeline.this.type
60.  val stages: Param[Array[PipelineStage]]
61.  final def synchronized[T0](arg0: ⇒ T0): T0
62.  def toString(): String
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

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4