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

class TrainValidationSplitModel extends Model[TrainValidationSplitModel] with TrainValidationSplitParams with MLWritable

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Inherited

1. TrainValidationSplitModel

2. MLWritable

3. TrainValidationSplitParams

4. ValidatorParams

5. HasSeed

6. Model

7. Transformer

8. PipelineStage

9. Logging

10. Params

11. Serializable

12. Serializable

13. Identifiable

14. AnyRef

15. 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.  val bestModel: Model[_]
7.  final def clear(param: Param[_]): TrainValidationSplitModel.this.type
8.  def clone(): AnyRef
9.  def copy(extra: ParamMap): TrainValidationSplitModel
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.  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.  def getEstimator: Estimator[_]
26.  def getEstimatorParamMaps: Array[ParamMap]
27.  def getEvaluator: Evaluator
28.  final def getOrDefault[T](param: Param[T]): T
29.  def getParam(paramName: String): Param[Any]
30.  final def getSeed: Long
31.  def getTrainRatio: Double
32.  final def hasDefault[T](param: Param[T]): Boolean
33.  def hasParam(paramName: String): Boolean
34.  def hasParent: Boolean
35.  def hasSubModels: Boolean
36.  def hashCode(): Int
37.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
38.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
39.  final def isDefined(param: Param[_]): Boolean
40.  final def isInstanceOf[T0]: Boolean
41.  final def isSet(param: Param[_]): Boolean
42.  def isTraceEnabled(): Boolean
43.  def log: Logger
44.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
45.  def logDebug(msg: ⇒ String): Unit
46.  def logError(msg: ⇒ String, throwable: Throwable): Unit
47.  def logError(msg: ⇒ String): Unit
48.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
49.  def logInfo(msg: ⇒ String): Unit
50.  def logName: String
51.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
52.  def logTrace(msg: ⇒ String): Unit
53.  def logTuningParams(instrumentation: Instrumentation): Unit
54.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
55.  def logWarning(msg: ⇒ String): Unit
56.  final def ne(arg0: AnyRef): Boolean
57.  final def notify(): Unit
58.  final def notifyAll(): Unit
59.  lazy val params: Array[Param[_]]
60.  var parent: Estimator[TrainValidationSplitModel]
61.  def save(path: String): Unit
62.  final val seed: LongParam
63.  final def set(paramPair: ParamPair[_]): TrainValidationSplitModel.this.type
64.  final def set(param: String, value: Any): TrainValidationSplitModel.this.type
65.  final def set[T](param: Param[T], value: T): TrainValidationSplitModel.this.type
66.  final def setDefault(paramPairs: ParamPair[_]*): TrainValidationSplitModel.this.type
67.  final def setDefault[T](param: Param[T], value: T): TrainValidationSplitModel.this.type
68.  def setParent(parent: Estimator[TrainValidationSplitModel]): TrainValidationSplitModel
69.  def subModels: Array[Model[_]]
70.  final def synchronized[T0](arg0: ⇒ T0): T0
71.  def toString(): String
72.  val trainRatio: DoubleParam
73.  def transform(dataset: Dataset[_]): DataFrame
74.  def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
75.  def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
76.  def transformSchema(schema: StructType): StructType
77.  def transformSchema(schema: StructType, logging: Boolean): StructType
78.  def transformSchemaImpl(schema: StructType): StructType
79.  val uid: String
80.  val validationMetrics: Array[Double]
81.  final def wait(): Unit
82.  final def wait(arg0: Long, arg1: Int): Unit
83.  final def wait(arg0: Long): Unit
84.  def write: TrainValidationSplitModelWriter

Parameters

Members

Parameter getters