Class/Object

com.microsoft.ml.spark

RankingTrainValidationSplitModel

Related Docs: object RankingTrainValidationSplitModel | package spark

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class RankingTrainValidationSplitModel extends Model[RankingTrainValidationSplitModel] with RankingTrainValidationSplitParams with ComplexParamsWritable

Annotations
@InternalWrapper()
Linear Supertypes
ComplexParamsWritable, MLWritable, RankingTrainValidationSplitParams, HasSeed, Wrappable, Model[RankingTrainValidationSplitModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingTrainValidationSplitModel
  2. ComplexParamsWritable
  3. MLWritable
  4. RankingTrainValidationSplitParams
  5. HasSeed
  6. Wrappable
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
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Instance Constructors

  1. new RankingTrainValidationSplitModel()

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  2. new RankingTrainValidationSplitModel(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val bestModel: TransformerParam

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  7. final def clear(param: Param[_]): RankingTrainValidationSplitModel.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def copy(extra: ParamMap): RankingTrainValidationSplitModel

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    Definition Classes
    RankingTrainValidationSplitModel → Model → Transformer → PipelineStage → Params

  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  12. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  14. val estimator: EstimatorParam

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    Definition Classes
    RankingTrainValidationSplitParams

  15. val estimatorParamMaps: ArrayParamMapParam

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    Definition Classes
    RankingTrainValidationSplitParams

  16. val evaluator: EvaluatorParam

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    Definition Classes
    RankingTrainValidationSplitParams

  17. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  18. def explainParams(): String

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    Definition Classes
    Params

  19. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  20. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  21. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  22. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  23. def getBestModel: Model[_]

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  24. final def getClass(): Class[_]

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    Definition Classes
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  25. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  26. def getEstimator: Estimator[_ <: Model[_]]

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    Definition Classes
    RankingTrainValidationSplitParams

  27. def getEstimatorParamMaps: Array[ParamMap]

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    Definition Classes
    RankingTrainValidationSplitParams

  28. def getEvaluator: Evaluator

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    Definition Classes
    RankingTrainValidationSplitParams

  29. def getMinRatingsI: Int

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    Definition Classes
    RankingTrainValidationSplitParams

  30. def getMinRatingsU: Int

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    Definition Classes
    RankingTrainValidationSplitParams

  31. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  32. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  33. final def getSeed: Long

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    Definition Classes
    HasSeed

  34. def getTrainRatio: Double

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    Definition Classes
    RankingTrainValidationSplitParams

  35. def getValidationMetrics: Array[_]

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  36. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  37. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  38. def hasParent: Boolean

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    Definition Classes
    Model

  39. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  40. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  41. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  42. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  43. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  44. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  45. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  46. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging

  48. def logDebug(msg: ⇒ String): Unit

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    Definition Classes
    Logging

  49. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging

  50. def logError(msg: ⇒ String): Unit

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    Logging

  51. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Definition Classes
    Logging

  52. def logInfo(msg: ⇒ String): Unit

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    Logging

  53. def logName: String

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    Logging

  54. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  55. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  56. def logTuningParams(instrumentation: Instrumentation): Unit

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    Instrumentation logging for tuning params including the inner estimator and evaluator info.

    Instrumentation logging for tuning params including the inner estimator and evaluator info.

    Attributes
    protected
    Definition Classes
    RankingTrainValidationSplitParams

  57. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  58. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  59. val minRatingsI: IntParam

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    Definition Classes
    RankingTrainValidationSplitParams

  60. val minRatingsU: IntParam

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    Param for ratio between train and validation data.

    Param for ratio between train and validation data. Must be between 0 and 1. Default: 0.75

    Definition Classes
    RankingTrainValidationSplitParams

  61. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  62. final def notify(): Unit

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    Definition Classes
    AnyRef

  63. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  64. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  65. var parent: Estimator[RankingTrainValidationSplitModel]

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    Definition Classes
    Model

  66. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  67. final val seed: LongParam

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    Definition Classes
    HasSeed

  68. final def set(paramPair: ParamPair[_]): RankingTrainValidationSplitModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  69. final def set(param: String, value: Any): RankingTrainValidationSplitModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  70. final def set[T](param: Param[T], value: T): RankingTrainValidationSplitModel.this.type

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    Definition Classes
    Params

  71. def setBestModel(value: Model[_]): RankingTrainValidationSplitModel.this.type

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  72. final def setDefault(paramPairs: ParamPair[_]*): RankingTrainValidationSplitModel.this.type

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    Attributes
    protected
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    Params

  73. final def setDefault[T](param: Param[T], value: T): RankingTrainValidationSplitModel.this.type

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    Attributes
    protected
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    Params

  74. def setParent(parent: Estimator[RankingTrainValidationSplitModel]): RankingTrainValidationSplitModel

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    Definition Classes
    Model

  75. def setValidationMetrics(value: Array[_]): RankingTrainValidationSplitModel.this.type

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  76. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  77. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  78. val trainRatio: DoubleParam

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    Definition Classes
    RankingTrainValidationSplitParams

  79. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    RankingTrainValidationSplitModel → Transformer

  80. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  81. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  82. def transformSchema(schema: StructType): StructType

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    Definition Classes
    RankingTrainValidationSplitModel → PipelineStage

  83. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  84. def transformSchemaImpl(schema: StructType): StructType

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    Attributes
    protected
    Definition Classes
    RankingTrainValidationSplitParams

  85. val uid: String

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    Definition Classes
    RankingTrainValidationSplitModel → Identifiable

  86. val validationMetrics: ArrayParam

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  87. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  88. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
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    @throws( ... )

  89. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  90. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from RankingTrainValidationSplitParams

Inherited from HasSeed

Inherited from Wrappable

Inherited from Model[RankingTrainValidationSplitModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter getters

Members