ComputeModelStatistics

Value Members

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

   

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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. def additionalPythonMethods(): String

   

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   Wrappable

6. final def asInstanceOf[T0]: T0

   

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   Any

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

   

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   Params

8. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

9. def copy(extra: ParamMap): Transformer

   

   Definition Classes

   ComputeModelStatistics → Transformer → PipelineStage → Params

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

    

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

    

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

    

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    AnyRef

13. def equals(arg0: Any): Boolean

    

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    AnyRef → Any

14. val evaluationMetric: Param[String]

    

    Definition Classes

    HasEvaluationMetric

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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    protected[java.lang]

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

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

    

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

    

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

    

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    Params

23. def getEvaluationMetric: String

    
    Definition Classes

    HasEvaluationMetric

24. def getLabelCol: String

    
    Definition Classes

    HasLabelCol

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

    

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

    

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    Params

27. def getScoredLabelsCol: String

    
    Definition Classes

    HasScoredLabelsCol

28. def getScoresCol: String

    
    Definition Classes

    HasScoresCol

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

    

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30. def hasParam(paramName: String): Boolean

    

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31. def hashCode(): Int

    

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

    

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    Logging

33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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

    

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35. final def isInstanceOf[T0]: Boolean

    

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

    

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37. def isTraceEnabled(): Boolean

    

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38. val labelCol: Param[String]

    

    The name of the label column

    The name of the label column

    Definition Classes

    HasLabelCol

39. def log: Logger

    

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    Logging

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

    

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41. def logDebug(msg: ⇒ String): Unit

    

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

    

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43. def logError(msg: ⇒ String): Unit

    

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

    

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45. def logInfo(msg: ⇒ String): Unit

    

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46. def logName: String

    

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

    

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48. def logTrace(msg: ⇒ String): Unit

    

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

    

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

    

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51. lazy val metricsLogger: MetricsLogger

    

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

    

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53. final def notify(): Unit

    

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54. final def notifyAll(): Unit

    

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

    

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    Params

56. var rocCurve: DataFrame

    

    The ROC curve evaluated for a binary classifier.

57. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

58. val scoredLabelsCol: Param[String]

    

    The name of the scored labels column

    The name of the scored labels column

    Definition Classes

    HasScoredLabelsCol

59. val scoresCol: Param[String]

    

    The name of the scores column

    The name of the scores column

    Definition Classes

    HasScoresCol

60. final def set(paramPair: ParamPair[_]): ComputeModelStatistics.this.type

    

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61. final def set(param: String, value: Any): ComputeModelStatistics.this.type

    

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

    

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63. final def setDefault(paramPairs: ParamPair[_]*): ComputeModelStatistics.this.type

    

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

    

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65. def setEvaluationMetric(value: String): ComputeModelStatistics.this.type

    
    Definition Classes

    HasEvaluationMetric

66. def setLabelCol(value: String): ComputeModelStatistics.this.type

    
    Definition Classes

    HasLabelCol

67. def setScoredLabelsCol(value: String): ComputeModelStatistics.this.type

    
    Definition Classes

    HasScoredLabelsCol

68. def setScoresCol(value: String): ComputeModelStatistics.this.type

    
    Definition Classes

    HasScoresCol

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

    

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    AnyRef

70. def toString(): String

    

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    Identifiable → AnyRef → Any

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

    

    Calculates the metrics for the given dataset and model.

    Calculates the metrics for the given dataset and model.

    dataset

    the dataset to calculate the metrics for

    returns

    DataFrame whose columns contain the calculated metrics

    Definition Classes

    ComputeModelStatistics → Transformer

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

    

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    Transformer

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    @Since( "2.0.0" )

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

    

    Definition Classes

    Transformer

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    @Since( "2.0.0" ) @varargs()

74. def transformSchema(schema: StructType): StructType

    

    Definition Classes

    ComputeModelStatistics → PipelineStage

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

    

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    PipelineStage

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    @DeveloperApi()

76. val uid: String

    

    Definition Classes

    ComputeModelStatistics → Identifiable

77. final def wait(): Unit

    

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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

    DefaultParamsWritable → MLWritable