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.

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. def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  21. def clone(): AnyRef

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

  22. def copy(extra: ParamMap): FindBestModel

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    Definition Classes
    FindBestModel → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  26. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  27. val evaluationMetric: Param[String]

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    Definition Classes
    HasEvaluationMetric

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

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    Definition Classes
    Params

  29. def explainParams(): String

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    Definition Classes
    Params

  30. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  32. def finalize(): Unit

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

  33. 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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  40. def getEvaluationMetric: String

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    Definition Classes
    HasEvaluationMetric

  41. def getModels: Array[Transformer]

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  45. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  46. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  48. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  50. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  52. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  53. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  60. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  65. 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

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

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    Definition Classes
    AnyRef

  67. final def notify(): Unit

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    Definition Classes
    AnyRef

  68. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  69. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  71. def save(path: String): Unit

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

  72. var selectedBestModelMetrics: Dataset[_]

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  73. var selectedModel: Transformer

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  74. var selectedROCCurve: DataFrame

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  75. var selectedScoredDataset: Dataset[_]

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    HasEvaluationMetric

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

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

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    Definition Classes
    AnyRef

  84. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  85. def transformSchema(schema: StructType): StructType

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    Definition Classes
    FindBestModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  87. val uid: String

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    Definition Classes
    FindBestModel → Identifiable

  88. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  91. 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