Class/Object

com.microsoft.ml.spark

FindBestModel

Related Docs: object FindBestModel | package spark

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class FindBestModel extends Estimator[BestModel] with FindBestModelParams

Evaluates and chooses the best model from a list of models.

Annotations
@InternalWrapper()
Linear Supertypes
FindBestModelParams, HasEvaluationMetric, ComplexParamsWritable, MLWritable, Wrappable, Estimator[BestModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. FindBestModel
  2. FindBestModelParams
  3. HasEvaluationMetric
  4. ComplexParamsWritable
  5. MLWritable
  6. Wrappable
  7. Estimator
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new FindBestModel()

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  2. new FindBestModel(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. final def clear(param: Param[_]): FindBestModel.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

  8. def copy(extra: ParamMap): FindBestModel

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    Definition Classes
    FindBestModel → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. val evaluationMetric: Param[String]

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    Definition Classes
    HasEvaluationMetric

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. def finalize(): Unit

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

  19. def fit(dataset: Dataset[_]): BestModel

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    dataset

    - The input dataset, to be fitted

    returns

    The Model that results from the fitting

    Definition Classes
    FindBestModel → Estimator

  20. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[BestModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], paramMap: ParamMap): BestModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): BestModel

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  26. def getEvaluationMetric: String

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    Definition Classes
    HasEvaluationMetric

  27. def getModels: Array[Transformer]

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  32. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  36. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  38. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  39. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  51. val models: TransformerArrayParam

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    List of models to be evaluated.

    List of models to be evaluated. The list is an Array of models

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

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    Definition Classes
    AnyRef

  53. final def notify(): Unit

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    Definition Classes
    AnyRef

  54. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  56. def save(path: String): Unit

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

  57. var selectedBestModelMetrics: Dataset[_]

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  58. var selectedModel: Transformer

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  59. var selectedROCCurve: DataFrame

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  60. var selectedScoredDataset: Dataset[_]

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  61. final def set(paramPair: ParamPair[_]): FindBestModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  62. final def set(param: String, value: Any): FindBestModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  64. final def setDefault(paramPairs: ParamPair[_]*): FindBestModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  66. def setEvaluationMetric(value: String): FindBestModel.this.type

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    Definition Classes
    HasEvaluationMetric

  67. def setModels(value: Array[Transformer]): FindBestModel.this.type

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

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    Definition Classes
    AnyRef

  69. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  70. def transformSchema(schema: StructType): StructType

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    Definition Classes
    FindBestModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  72. val uid: String

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    Definition Classes
    FindBestModel → Identifiable

  73. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  76. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from FindBestModelParams

Inherited from HasEvaluationMetric

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Estimator[BestModel]

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 setters

Parameter getters

Members