Packages

class ComputePerInstanceStatistics extends Transformer with CPISParams with SynapseMLLogging

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
SynapseMLLogging, CPISParams, HasEvaluationMetric, HasScoredProbabilitiesCol, HasScoredLabelsCol, HasScoresCol, HasLabelCol, DefaultParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ComputePerInstanceStatistics
  2. SynapseMLLogging
  3. CPISParams
  4. HasEvaluationMetric
  5. HasScoredProbabilitiesCol
  6. HasScoredLabelsCol
  7. HasScoresCol
  8. HasLabelCol
  9. DefaultParamsWritable
  10. MLWritable
  11. Wrappable
  12. DotnetWrappable
  13. RWrappable
  14. PythonWrappable
  15. BaseWrappable
  16. Transformer
  17. PipelineStage
  18. Logging
  19. Params
  20. Serializable
  21. Serializable
  22. Identifiable
  23. AnyRef
  24. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ComputePerInstanceStatistics()
  2. new ComputePerInstanceStatistics(uid: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
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    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
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    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): ComputePerInstanceStatistics.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
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    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
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    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): Transformer
    Definition Classes
    ComputePerInstanceStatistics → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
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    Definition Classes
    Params
  12. lazy val copyrightLines: String
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    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
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    Params
  14. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  15. def dotnetClass(): String
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    DotnetWrappable
  16. lazy val dotnetClassName: String
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    DotnetWrappable
  17. lazy val dotnetClassNameString: String
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    DotnetWrappable
  18. lazy val dotnetClassWrapperName: String
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    DotnetWrappable
  19. lazy val dotnetCopyrightLines: String
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    DotnetWrappable
  20. def dotnetExtraEstimatorImports: String
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    DotnetWrappable
  21. def dotnetExtraMethods: String
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    DotnetWrappable
  22. lazy val dotnetInternalWrapper: Boolean
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    DotnetWrappable
  23. def dotnetMLReadWriteMethods: String
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    DotnetWrappable
  24. lazy val dotnetNamespace: String
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    DotnetWrappable
  25. lazy val dotnetObjectBaseClass: String
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    DotnetWrappable
  26. def dotnetParamGetter(p: Param[_]): String
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    DotnetWrappable
  27. def dotnetParamGetters: String
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    DotnetWrappable
  28. def dotnetParamSetter(p: Param[_]): String
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    DotnetWrappable
  29. def dotnetParamSetters: String
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    DotnetWrappable
  30. def dotnetWrapAsTypeMethod: String
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    DotnetWrappable
  31. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  32. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  33. val evaluationMetric: Param[String]
    Definition Classes
    HasEvaluationMetric
  34. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  35. def explainParams(): String
    Definition Classes
    Params
  36. final def extractParamMap(): ParamMap
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    Params
  37. final def extractParamMap(extra: ParamMap): ParamMap
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    Params
  38. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  39. final def get[T](param: Param[T]): Option[T]
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  40. final def getClass(): Class[_]
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    AnyRef → Any
    Annotations
    @native()
  41. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  42. def getEvaluationMetric: String

    Definition Classes
    HasEvaluationMetric
  43. def getLabelCol: String

    Definition Classes
    HasLabelCol
  44. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  45. def getParam(paramName: String): Param[Any]
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    Params
  46. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  47. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
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    Definition Classes
    SynapseMLLogging
  48. def getScoredLabelsCol: String

    Definition Classes
    HasScoredLabelsCol
  49. def getScoredProbabilitiesCol: String

    Definition Classes
    HasScoredProbabilitiesCol
  50. def getScoresCol: String

    Definition Classes
    HasScoresCol
  51. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  52. def hasParam(paramName: String): Boolean
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    Params
  53. def hashCode(): Int
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    AnyRef → Any
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    @native()
  54. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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    Logging
  55. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  56. final def isDefined(param: Param[_]): Boolean
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  57. final def isInstanceOf[T0]: Boolean
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  58. final def isSet(param: Param[_]): Boolean
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  59. def isTraceEnabled(): Boolean
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    Logging
  60. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  61. def log: Logger
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    Logging
  62. def logBase(info: Map[String, String], featureName: Option[String]): Unit
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    SynapseMLLogging
  63. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
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    SynapseMLLogging
  64. def logClass(featureName: String): Unit
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    SynapseMLLogging
  65. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  66. def logDebug(msg: ⇒ String): Unit
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  67. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  68. def logError(msg: ⇒ String): Unit
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  69. def logErrorBase(methodName: String, e: Exception): Unit
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    SynapseMLLogging
  70. def logFit[T](f: ⇒ T, columns: Int): T
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    SynapseMLLogging
  71. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  72. def logInfo(msg: ⇒ String): Unit
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  73. def logName: String
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  74. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  75. def logTrace(msg: ⇒ String): Unit
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  76. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  77. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  78. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  79. def logWarning(msg: ⇒ String): Unit
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  80. def makeDotnetFile(conf: CodegenConfig): Unit
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    DotnetWrappable
  81. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  82. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  83. final def ne(arg0: AnyRef): Boolean
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    AnyRef
  84. final def notify(): Unit
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    @native()
  85. final def notifyAll(): Unit
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    @native()
  86. lazy val params: Array[Param[_]]
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  87. def pyAdditionalMethods: String
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    PythonWrappable
  88. lazy val pyClassDoc: String
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  89. lazy val pyClassName: String
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  90. def pyExtraEstimatorImports: String
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  91. def pyExtraEstimatorMethods: String
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  92. lazy val pyInheritedClasses: Seq[String]
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  93. def pyInitFunc(): String
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    PythonWrappable
  94. lazy val pyInternalWrapper: Boolean
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  95. lazy val pyObjectBaseClass: String
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  96. def pyParamArg[T](p: Param[T]): String
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  97. def pyParamDefault[T](p: Param[T]): Option[String]
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  98. def pyParamGetter(p: Param[_]): String
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  99. def pyParamSetter(p: Param[_]): String
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  100. def pyParamsArgs: String
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    PythonWrappable
  101. def pyParamsDefaults: String
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  102. lazy val pyParamsDefinitions: String
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  103. def pyParamsGetters: String
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  104. def pyParamsSetters: String
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    PythonWrappable
  105. def pythonClass(): String
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  106. def rClass(): String
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  107. def rDocString: String
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  108. def rExtraBodyLines: String
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  109. def rExtraInitLines: String
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  110. lazy val rFuncName: String
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  111. lazy val rInternalWrapper: Boolean
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  112. def rParamArg[T](p: Param[T]): String
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  113. def rParamsArgs: String
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  114. def rSetterLines: String
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    RWrappable
  115. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  116. val scoredLabelsCol: Param[String]

    The name of the scored labels column

    The name of the scored labels column

    Definition Classes
    HasScoredLabelsCol
  117. val scoredProbabilitiesCol: Param[String]

    The name of the scored probabilities column

    The name of the scored probabilities column

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

    The name of the scores column

    The name of the scores column

    Definition Classes
    HasScoresCol
  119. final def set(paramPair: ParamPair[_]): ComputePerInstanceStatistics.this.type
    Attributes
    protected
    Definition Classes
    Params
  120. final def set(param: String, value: Any): ComputePerInstanceStatistics.this.type
    Attributes
    protected
    Definition Classes
    Params
  121. final def set[T](param: Param[T], value: T): ComputePerInstanceStatistics.this.type
    Definition Classes
    Params
  122. final def setDefault(paramPairs: ParamPair[_]*): ComputePerInstanceStatistics.this.type
    Attributes
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    Definition Classes
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  123. final def setDefault[T](param: Param[T], value: T): ComputePerInstanceStatistics.this.type
    Attributes
    protected
    Definition Classes
    Params
  124. def setEvaluationMetric(value: String): ComputePerInstanceStatistics.this.type

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

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

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

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

    Definition Classes
    HasScoresCol
  129. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  130. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  131. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  132. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    ComputePerInstanceStatistics → Transformer
  133. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  134. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  135. def transformSchema(schema: StructType): StructType
    Definition Classes
    ComputePerInstanceStatistics → PipelineStage
  136. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  137. val uid: String
    Definition Classes
    ComputePerInstanceStatistics → SynapseMLLogging → Identifiable
  138. final def wait(): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  139. final def wait(arg0: Long, arg1: Int): Unit
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    AnyRef
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    @throws( ... )
  140. final def wait(arg0: Long): Unit
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    AnyRef
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    @throws( ... ) @native()
  141. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

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 DotnetWrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

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