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

class TrainValidationSplit extends Estimator[TrainValidationSplitModel] with TrainValidationSplitParams with HasParallelism with HasCollectSubModels with MLWritable with Logging

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3. By Inheritance

Inherited

1. TrainValidationSplit

2. MLWritable

3. HasCollectSubModels

4. HasParallelism

5. TrainValidationSplitParams

6. ValidatorParams

7. HasSeed

8. Estimator

9. PipelineStage

10. Logging

11. Params

12. Serializable

13. Serializable

14. Identifiable

15. AnyRef

16. Any

17. Hide All

18. Show All

Instance Constructors

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

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[_]): TrainValidationSplit.this.type
7.  def clone(): AnyRef
8.  final val collectSubModels: BooleanParam
9.  def copy(extra: ParamMap): TrainValidationSplit
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: Any): Boolean
14.  val estimator: Param[Estimator[_]]
15.  val estimatorParamMaps: Param[Array[ParamMap]]
16.  val evaluator: Param[Evaluator]
17.  def explainParam(param: Param[_]): String
18.  def explainParams(): String
19.  final def extractParamMap(): ParamMap
20.  final def extractParamMap(extra: ParamMap): ParamMap
21.  def finalize(): Unit
22.  def fit(dataset: Dataset[_]): TrainValidationSplitModel
23.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[TrainValidationSplitModel]
24.  def fit(dataset: Dataset[_], paramMap: ParamMap): TrainValidationSplitModel
25.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TrainValidationSplitModel
26.  final def get[T](param: Param[T]): Option[T]
27.  final def getClass(): Class[_]
28.  final def getCollectSubModels: Boolean
29.  final def getDefault[T](param: Param[T]): Option[T]
30.  def getEstimator: Estimator[_]
31.  def getEstimatorParamMaps: Array[ParamMap]
32.  def getEvaluator: Evaluator
33.  final def getOrDefault[T](param: Param[T]): T
34.  def getParallelism: Int
35.  def getParam(paramName: String): Param[Any]
36.  final def getSeed: Long
37.  def getTrainRatio: Double
38.  final def hasDefault[T](param: Param[T]): Boolean
39.  def hasParam(paramName: String): Boolean
40.  def hashCode(): Int
41.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
42.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
43.  final def isDefined(param: Param[_]): Boolean
44.  final def isInstanceOf[T0]: Boolean
45.  final def isSet(param: Param[_]): Boolean
46.  def isTraceEnabled(): Boolean
47.  def log: Logger
48.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
49.  def logDebug(msg: ⇒ String): Unit
50.  def logError(msg: ⇒ String, throwable: Throwable): Unit
51.  def logError(msg: ⇒ String): Unit
52.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
53.  def logInfo(msg: ⇒ String): Unit
54.  def logName: String
55.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
56.  def logTrace(msg: ⇒ String): Unit
57.  def logTuningParams(instrumentation: Instrumentation): Unit
58.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
59.  def logWarning(msg: ⇒ String): Unit
60.  final def ne(arg0: AnyRef): Boolean
61.  final def notify(): Unit
62.  final def notifyAll(): Unit
63.  val parallelism: IntParam
64.  lazy val params: Array[Param[_]]
65.  def save(path: String): Unit
66.  final val seed: LongParam
67.  final def set(paramPair: ParamPair[_]): TrainValidationSplit.this.type
68.  final def set(param: String, value: Any): TrainValidationSplit.this.type
69.  final def set[T](param: Param[T], value: T): TrainValidationSplit.this.type
70.  def setCollectSubModels(value: Boolean): TrainValidationSplit.this.type
71.  final def setDefault(paramPairs: ParamPair[_]*): TrainValidationSplit.this.type
72.  final def setDefault[T](param: Param[T], value: T): TrainValidationSplit.this.type
73.  def setEstimator(value: Estimator[_]): TrainValidationSplit.this.type
74.  def setEstimatorParamMaps(value: Array[ParamMap]): TrainValidationSplit.this.type
75.  def setEvaluator(value: Evaluator): TrainValidationSplit.this.type
76.  def setParallelism(value: Int): TrainValidationSplit.this.type
77.  def setSeed(value: Long): TrainValidationSplit.this.type
78.  def setTrainRatio(value: Double): TrainValidationSplit.this.type
79.  final def synchronized[T0](arg0: ⇒ T0): T0
80.  def toString(): String
81.  val trainRatio: DoubleParam
82.  def transformSchema(schema: StructType): StructType
83.  def transformSchema(schema: StructType, logging: Boolean): StructType
84.  def transformSchemaImpl(schema: StructType): StructType
85.  val uid: String
86.  final def wait(): Unit
87.  final def wait(arg0: Long, arg1: Int): Unit
88.  final def wait(arg0: Long): Unit
89.  def write: MLWriter

Parameters

Members

Parameter setters

Parameter getters

(expert-only) Parameters

(expert-only) Parameter setters

(expert-only) Parameter getters