Class/Object

com.microsoft.ml.spark

ComputePerInstanceStatistics

Related Docs: object ComputePerInstanceStatistics | package spark

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class ComputePerInstanceStatistics extends Transformer with ComputePerInstanceStatisticsParams

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
ComputePerInstanceStatisticsParams, HasEvaluationMetric, HasScoredProbabilitiesCol, 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. ComputePerInstanceStatistics
  2. ComputePerInstanceStatisticsParams
  3. HasEvaluationMetric
  4. HasScoredProbabilitiesCol
  5. HasScoredLabelsCol
  6. HasScoresCol
  7. HasLabelCol
  8. MMLParams
  9. DefaultParamsWritable
  10. MLWritable
  11. Wrappable
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. 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 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[_]): ComputePerInstanceStatistics.this.type

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    Definition Classes
    Params
  21. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )
  22. def copy(extra: ParamMap): Transformer

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

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

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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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    Params
  30. final def extractParamMap(): ParamMap

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

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    Params
  32. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  33. final def get[T](param: Param[T]): Option[T]

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

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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 getScoredProbabilitiesCol: String

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    Definition Classes
    HasScoredProbabilitiesCol
  42. def getScoresCol: String

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

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    Params
  44. def hasParam(paramName: String): Boolean

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    Params
  45. def hashCode(): Int

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

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

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

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  49. final def isInstanceOf[T0]: Boolean

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

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  51. def isTraceEnabled(): Boolean

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    Logging
  52. val labelCol: Param[String]

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    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  53. def log: Logger

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

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

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

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

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

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

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    Logging
  60. def logName: String

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

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

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

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

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

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    AnyRef
  66. final def notify(): Unit

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    AnyRef
  67. final def notifyAll(): Unit

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    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. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  71. 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
  72. 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
  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[_]): ComputePerInstanceStatistics.this.type

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  85. def toString(): String

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasEvaluationMetric

Inherited from HasScoredProbabilitiesCol

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