Class/Object

com.microsoft.ml.spark.automl

FindBestModel

Related Docs: object FindBestModel | package automl

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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, 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 additionalPythonMethods(): String

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    Definition Classes
    Wrappable
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. final def clear(param: Param[_]): FindBestModel.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): FindBestModel

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    Definition Classes
    FindBestModel → Estimator → 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 evaluationMetric: Param[String]

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    Definition Classes
    HasEvaluationMetric
  15. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  16. def explainParams(): String

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    Definition Classes
    Params
  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  18. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. 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
  21. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[BestModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  22. def fit(dataset: Dataset[_], paramMap: ParamMap): BestModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  23. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): BestModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  24. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  25. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  26. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  27. def getEvaluationMetric: String

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    Definition Classes
    HasEvaluationMetric
  28. def getModels: Array[Transformer]

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

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    Definition Classes
    Params
  30. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  31. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  32. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  34. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  36. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  37. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  38. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  39. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  40. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  41. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  42. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  43. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  44. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  45. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  46. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  47. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  50. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  51. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  52. 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

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

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    Definition Classes
    AnyRef
  54. final def notify(): Unit

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    Definition Classes
    AnyRef
  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  56. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  57. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  58. var selectedBestModelMetrics: Dataset[_]

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  59. var selectedModel: Transformer

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  60. var selectedROCCurve: DataFrame

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  61. var selectedScoredDataset: Dataset[_]

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

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    Attributes
    protected
    Definition Classes
    Params
  63. final def set(param: String, value: Any): FindBestModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  64. final def set[T](param: Param[T], value: T): FindBestModel.this.type

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    Definition Classes
    Params
  65. final def setDefault(paramPairs: ParamPair[_]*): FindBestModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  66. final def setDefault[T](param: Param[T], value: T): FindBestModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  67. def setEvaluationMetric(value: String): FindBestModel.this.type

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    Definition Classes
    HasEvaluationMetric
  68. def setModels(value: Array[Transformer]): FindBestModel.this.type

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

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    Definition Classes
    AnyRef
  70. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  71. def transformSchema(schema: StructType): StructType

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    Definition Classes
    FindBestModel → PipelineStage
  72. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  73. val uid: String

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    Definition Classes
    FindBestModel → Identifiable
  74. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  75. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  76. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  77. 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 Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped