Class/Object

com.microsoft.ml.spark.train

ComputePerInstanceStatistics

Related Docs: object ComputePerInstanceStatistics | package train

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class ComputePerInstanceStatistics extends Transformer with CPISParams

Evaluates the given scored dataset with per instance metrics.

The Regression metrics are: - L1_loss - L2_loss

The Classification metrics are: - log_loss

Linear Supertypes
CPISParams, HasEvaluationMetric, HasScoredProbabilitiesCol, HasScoredLabelsCol, HasScoresCol, HasLabelCol, DefaultParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ComputePerInstanceStatistics
  2. CPISParams
  3. HasEvaluationMetric
  4. HasScoredProbabilitiesCol
  5. HasScoredLabelsCol
  6. HasScoresCol
  7. HasLabelCol
  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
  2. All

Instance Constructors

  1. new ComputePerInstanceStatistics()

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

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

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

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    Attributes
    protected
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    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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    Params
  17. final def extractParamMap(): ParamMap

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

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

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

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    Definition Classes
    Params
  23. def getEvaluationMetric: String

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    Definition Classes
    HasEvaluationMetric
  24. def getLabelCol: String

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

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

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    Definition Classes
    Params
  27. def getScoredLabelsCol: String

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    Definition Classes
    HasScoredLabelsCol
  28. def getScoredProbabilitiesCol: String

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    Definition Classes
    HasScoredProbabilitiesCol
  29. def getScoresCol: String

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

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

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    Params
  32. def hashCode(): Int

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

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    Attributes
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    Logging
  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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  36. final def isInstanceOf[T0]: Boolean

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

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  38. def isTraceEnabled(): Boolean

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    Logging
  39. val labelCol: Param[String]

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    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  40. def log: Logger

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

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

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

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

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

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

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    Logging
  47. def logName: String

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

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

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

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

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

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    AnyRef
  53. final def notify(): Unit

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    AnyRef
  54. final def notifyAll(): Unit

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

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

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  57. 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
  58. val scoredProbabilitiesCol: Param[String]

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    The name of the scored probabilities column

    The name of the scored probabilities column

    Definition Classes
    HasScoredProbabilitiesCol
  59. val scoresCol: Param[String]

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    The name of the scores column

    The name of the scores column

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

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    Attributes
    protected
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    Params
  61. final def set(param: String, value: Any): ComputePerInstanceStatistics.this.type

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    Attributes
    protected
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    Params
  62. final def set[T](param: Param[T], value: T): ComputePerInstanceStatistics.this.type

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

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

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    Params
  65. def setEvaluationMetric(value: String): ComputePerInstanceStatistics.this.type

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    Definition Classes
    HasEvaluationMetric
  66. def setLabelCol(value: String): ComputePerInstanceStatistics.this.type

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    Definition Classes
    HasLabelCol
  67. def setScoredLabelsCol(value: String): ComputePerInstanceStatistics.this.type

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    Definition Classes
    HasScoredLabelsCol
  68. def setScoredProbabilitiesCol(value: String): ComputePerInstanceStatistics.this.type

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    Definition Classes
    HasScoredProbabilitiesCol
  69. def setScoresCol(value: String): ComputePerInstanceStatistics.this.type

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    Definition Classes
    HasScoresCol
  70. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  71. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  72. def transform(dataset: Dataset[_]): DataFrame

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

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

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

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    Definition Classes
    ComputePerInstanceStatistics → PipelineStage
  76. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    Definition Classes
    ComputePerInstanceStatistics → Identifiable
  78. final def wait(): Unit

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    @throws( ... )
  79. final def wait(arg0: Long, arg1: Int): Unit

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

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

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from CPISParams

Inherited from HasEvaluationMetric

Inherited from HasScoredProbabilitiesCol

Inherited from HasScoredLabelsCol

Inherited from HasScoresCol

Inherited from HasLabelCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Transformer

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