BestModel

Value Members

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

   

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   AnyRef → Any

2. final def ##(): Int

   

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

   

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

   

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5. val allModelMetrics: Dataset[_]

   

6. final def asInstanceOf[T0]: T0

   

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   Any

7. val bestModelMetrics: Dataset[_]

   

8. final def clear(param: Param[_]): BestModel.this.type

   

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9. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

10. def copy(extra: ParamMap): BestModel

    

    Definition Classes

    BestModel → Model → Transformer → PipelineStage → Params

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

    

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

    

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

    

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    AnyRef

14. def equals(arg0: Any): Boolean

    

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

    

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16. def explainParams(): String

    

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17. final def extractParamMap(): ParamMap

    

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

    

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19. def finalize(): Unit

    

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    @throws( classOf[java.lang.Throwable] )

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

    

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21. def getAllModelMetrics: Dataset[_]

    

    Gets a table of metrics from all models compared from the evaluation comparison.

    Gets a table of metrics from all models compared from the evaluation comparison.

    returns

    The model metrics results from all models.

22. def getBestModel: Transformer

    

    The best model found during evaluation.

    The best model found during evaluation.

    returns

    The best model.

23. def getBestModelMetrics: Dataset[_]

    

    Gets all of the best model metrics results from the evaluator.

    Gets all of the best model metrics results from the evaluator.

    returns

    All of the best model metrics results.

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

    

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

    

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26. def getEvaluationResults: Dataset[_]

    

    Gets the ROC curve with TPR, FPR.

    Gets the ROC curve with TPR, FPR.

    returns

    The evaluation results.

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

    

    Definition Classes

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

    

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29. def getScoredDataset: Dataset[_]

    

    Gets the scored dataset.

    Gets the scored dataset.

    returns

    The scored dataset for the best model.

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

    

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31. def hasParam(paramName: String): Boolean

    

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32. def hasParent: Boolean

    

    Definition Classes

    Model

33. def hashCode(): Int

    

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    AnyRef → Any

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

    

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    Logging

35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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    Logging

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

    

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37. final def isInstanceOf[T0]: Boolean

    

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    Any

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

    

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39. def isTraceEnabled(): Boolean

    

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    Logging

40. def log: Logger

    

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

    

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42. def logDebug(msg: ⇒ String): Unit

    

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

    

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44. def logError(msg: ⇒ String): Unit

    

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

    

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46. def logInfo(msg: ⇒ String): Unit

    

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47. def logName: String

    

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

    

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49. def logTrace(msg: ⇒ String): Unit

    

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    Logging

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

    

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

    

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52. val model: Transformer

    

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

    

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54. final def notify(): Unit

    

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55. final def notifyAll(): Unit

    

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    AnyRef

56. def objectsToSave: List[Any]

    

    Definition Classes

    BestModel → ConstructorWritable

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

    

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    Params

58. var parent: Estimator[BestModel]

    

    Definition Classes

    Model

59. val rocCurve: DataFrame

    

60. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

    @Since( "1.6.0" ) @throws( ... )

61. val scoredDataset: Dataset[_]

    

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

    

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63. final def set(param: String, value: Any): BestModel.this.type

    

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

    

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65. final def setDefault(paramPairs: ParamPair[_]*): BestModel.this.type

    

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

    

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67. def setParent(parent: Estimator[BestModel]): BestModel

    

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    Model

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

    

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    AnyRef

69. def toString(): String

    

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    Identifiable → AnyRef → Any

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

    

    Definition Classes

    BestModel → Transformer

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

    

    Definition Classes

    Transformer

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    @Since( "2.0.0" )

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

    

    Definition Classes

    Transformer

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    @Since( "2.0.0" ) @varargs()

73. def transformSchema(schema: StructType): StructType

    

    Definition Classes

    BestModel → PipelineStage

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    @DeveloperApi()

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

    

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    PipelineStage

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    @DeveloperApi()

75. val ttag: scala.reflect.api.JavaUniverse.TypeTag[BestModel]

    

    Definition Classes

    BestModel → ConstructorWritable

76. val uid: String

    

    Definition Classes

    BestModel → ConstructorWritable → Identifiable

77. final def wait(): Unit

    

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    @throws( ... )

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

    

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

    

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    @throws( ... )

80. def write: MLWriter

    

    Definition Classes

    ConstructorWritable → MLWritable