Class/Object

com.microsoft.ml.spark

ComputeModelStatistics

Related Docs: object ComputeModelStatistics | package spark

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class ComputeModelStatistics extends Transformer with ComputeModelStatisticsParams

Evaluates the given scored dataset.

Linear Supertypes
ComputeModelStatisticsParams, HasEvaluationMetric, HasScoredLabelsCol, HasScoresCol, HasLabelCol, MMLParams, DefaultParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ComputeModelStatistics
  2. ComputeModelStatisticsParams
  3. HasEvaluationMetric
  4. HasScoredLabelsCol
  5. HasScoresCol
  6. HasLabelCol
  7. MMLParams
  8. DefaultParamsWritable
  9. MLWritable
  10. Wrappable
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
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Instance Constructors

  1. new ComputeModelStatistics()

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  2. new ComputeModelStatistics(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[_]): ComputeModelStatistics.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): Transformer

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    Definition Classes
    ComputeModelStatistics → Transformer → PipelineStage → Params
  23. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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    Definition Classes
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  35. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  36. def getEvaluationMetric: String

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    Definition Classes
    HasEvaluationMetric
  37. def getLabelCol: String

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    Definition Classes
    HasLabelCol
  38. final def getOrDefault[T](param: Param[T]): T

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

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    Definition Classes
    Params
  40. def getScoredLabelsCol: String

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    Definition Classes
    HasScoredLabelsCol
  41. def getScoresCol: String

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    Definition Classes
    HasScoresCol
  42. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  44. def hashCode(): Int

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

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    Attributes
    protected
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    Logging
  46. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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    Params
  48. final def isInstanceOf[T0]: Boolean

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

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  50. def isTraceEnabled(): Boolean

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    protected
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    Logging
  51. val labelCol: Param[String]

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    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  52. def log: Logger

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

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    Logging
  54. def logDebug(msg: ⇒ String): Unit

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

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    Logging
  56. def logError(msg: ⇒ String): Unit

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

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    Logging
  58. def logInfo(msg: ⇒ String): Unit

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    Logging
  59. def logName: String

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

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    Logging
  61. def logTrace(msg: ⇒ String): Unit

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

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    Logging
  63. def logWarning(msg: ⇒ String): Unit

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    protected
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    Logging
  64. lazy val metricsLogger: MetricsLogger

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

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

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

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    Definition Classes
    AnyRef
  68. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable
  69. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  70. var rocCurve: DataFrame

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    The ROC curve evaluated for a binary classifier.

  71. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  72. val scoredLabelsCol: Param[String]

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    The name of the scored labels column

    The name of the scored labels column

    Definition Classes
    HasScoredLabelsCol
  73. val scoresCol: Param[String]

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    The name of the scores column

    The name of the scores column

    Definition Classes
    HasScoresCol
  74. final def set(paramPair: ParamPair[_]): ComputeModelStatistics.this.type

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    Attributes
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    Params
  75. final def set(param: String, value: Any): ComputeModelStatistics.this.type

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

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

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

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    Params
  79. def setEvaluationMetric(value: String): ComputeModelStatistics.this.type

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    Definition Classes
    HasEvaluationMetric
  80. def setLabelCol(value: String): ComputeModelStatistics.this.type

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    Definition Classes
    HasLabelCol
  81. def setScoredLabelsCol(value: String): ComputeModelStatistics.this.type

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    Definition Classes
    HasScoredLabelsCol
  82. def setScoresCol(value: String): ComputeModelStatistics.this.type

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    Definition Classes
    HasScoresCol
  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 transform(dataset: Dataset[_]): DataFrame

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    Calculates the metrics for the given dataset and model.

    Calculates the metrics for the given dataset and model.

    returns

    DataFrame whose columns contain the calculated metrics

    Definition Classes
    ComputeModelStatistics → Transformer
  86. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  87. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  88. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ComputeModelStatistics → PipelineStage
  89. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()
  90. val uid: String

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    Definition Classes
    ComputeModelStatistics → Identifiable
  91. final def wait(): Unit

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

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    @throws( ... )
  93. final def wait(arg0: Long): Unit

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    @throws( ... )
  94. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasEvaluationMetric

Inherited from HasScoredLabelsCol

Inherited from HasScoresCol

Inherited from HasLabelCol

Inherited from MMLParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Transformer

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