Packages

class ComputePerInstanceStatistics extends Transformer with CPISParams with BasicLogging

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
BasicLogging, CPISParams, HasEvaluationMetric, HasScoredProbabilitiesCol, HasScoredLabelsCol, HasScoresCol, HasLabelCol, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ComputePerInstanceStatistics
  2. BasicLogging
  3. CPISParams
  4. HasEvaluationMetric
  5. HasScoredProbabilitiesCol
  6. HasScoredLabelsCol
  7. HasScoresCol
  8. HasLabelCol
  9. DefaultParamsWritable
  10. MLWritable
  11. Wrappable
  12. RWrappable
  13. PythonWrappable
  14. BaseWrappable
  15. Transformer
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. 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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    protected
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    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. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. val evaluationMetric: Param[String]
    Definition Classes
    HasEvaluationMetric
  17. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  18. def explainParams(): String
    Definition Classes
    Params
  19. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  20. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  21. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  22. final def get[T](param: Param[T]): Option[T]
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  23. final def getClass(): Class[_]
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    AnyRef → Any
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    @native()
  24. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  25. def getEvaluationMetric: String

    Definition Classes
    HasEvaluationMetric
  26. def getLabelCol: String

    Definition Classes
    HasLabelCol
  27. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  28. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  29. def getScoredLabelsCol: String

    Definition Classes
    HasScoredLabelsCol
  30. def getScoredProbabilitiesCol: String

    Definition Classes
    HasScoredProbabilitiesCol
  31. def getScoresCol: String

    Definition Classes
    HasScoresCol
  32. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  33. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  34. def hashCode(): Int
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    AnyRef → Any
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    @native()
  35. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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    Logging
  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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    Logging
  37. final def isDefined(param: Param[_]): Boolean
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    Params
  38. final def isInstanceOf[T0]: Boolean
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    Any
  39. final def isSet(param: Param[_]): Boolean
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    Params
  40. def isTraceEnabled(): Boolean
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    Definition Classes
    Logging
  41. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  42. def log: Logger
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    Logging
  43. def logBase(methodName: String): Unit
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    BasicLogging
  44. def logClass(): Unit
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    BasicLogging
  45. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  46. def logDebug(msg: ⇒ String): Unit
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  47. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  48. def logError(msg: ⇒ String): Unit
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  49. def logErrorBase(methodName: String, e: Exception): Unit
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    BasicLogging
  50. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  51. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  52. def logInfo(msg: ⇒ String): Unit
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  53. def logName: String
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    Logging
  54. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  55. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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    Logging
  56. def logTrace(msg: ⇒ String): Unit
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    Logging
  57. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  58. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  59. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  60. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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    Logging
  61. def logWarning(msg: ⇒ String): Unit
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    Logging
  62. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  63. def makeRFile(conf: CodegenConfig): Unit
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    RWrappable
  64. final def ne(arg0: AnyRef): Boolean
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    AnyRef
  65. final def notify(): Unit
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    @native()
  66. final def notifyAll(): Unit
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    @native()
  67. lazy val params: Array[Param[_]]
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  68. def pyAdditionalMethods: String
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    PythonWrappable
  69. lazy val pyClassDoc: String
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  70. lazy val pyClassName: String
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  71. def pyExtraEstimatorImports: String
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    PythonWrappable
  72. def pyExtraEstimatorMethods: String
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    PythonWrappable
  73. lazy val pyInheritedClasses: Seq[String]
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  74. def pyInitFunc(): String
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    PythonWrappable
  75. lazy val pyInternalWrapper: Boolean
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  76. lazy val pyObjectBaseClass: String
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  77. def pyParamArg[T](p: Param[T]): String
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    PythonWrappable
  78. def pyParamDefault[T](p: Param[T]): Option[String]
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  79. def pyParamGetter(p: Param[_]): String
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  80. def pyParamSetter(p: Param[_]): String
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  81. def pyParamsArgs: String
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    PythonWrappable
  82. def pyParamsDefaults: String
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    PythonWrappable
  83. lazy val pyParamsDefinitions: String
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    PythonWrappable
  84. def pyParamsGetters: String
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    PythonWrappable
  85. def pyParamsSetters: String
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    PythonWrappable
  86. def pythonClass(): String
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    PythonWrappable
  87. def rClass(): String
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  88. def rDocString: String
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  89. def rExtraBodyLines: String
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  90. def rExtraInitLines: String
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  91. lazy val rFuncName: String
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  92. lazy val rInternalWrapper: Boolean
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  93. def rParamArg[T](p: Param[T]): String
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  94. def rParamsArgs: String
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    RWrappable
  95. def rSetterLines: String
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  96. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  97. val scoredLabelsCol: Param[String]

    The name of the scored labels column

    The name of the scored labels column

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

    The name of the scored probabilities column

    The name of the scored probabilities column

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

    The name of the scores column

    The name of the scores column

    Definition Classes
    HasScoresCol
  100. final def set(paramPair: ParamPair[_]): ComputePerInstanceStatistics.this.type
    Attributes
    protected
    Definition Classes
    Params
  101. final def set(param: String, value: Any): ComputePerInstanceStatistics.this.type
    Attributes
    protected
    Definition Classes
    Params
  102. final def set[T](param: Param[T], value: T): ComputePerInstanceStatistics.this.type
    Definition Classes
    Params
  103. final def setDefault(paramPairs: ParamPair[_]*): ComputePerInstanceStatistics.this.type
    Attributes
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    Definition Classes
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  104. final def setDefault[T](param: Param[T], value: T): ComputePerInstanceStatistics.this.type
    Attributes
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    Definition Classes
    Params
  105. def setEvaluationMetric(value: String): ComputePerInstanceStatistics.this.type

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

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

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

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

    Definition Classes
    HasScoresCol
  110. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  111. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  112. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    ComputePerInstanceStatistics → Transformer
  113. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  114. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  115. def transformSchema(schema: StructType): StructType
    Definition Classes
    ComputePerInstanceStatistics → PipelineStage
  116. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  117. val uid: String
    Definition Classes
    ComputePerInstanceStatistics → BasicLogging → Identifiable
  118. val ver: String
    Definition Classes
    BasicLogging
  119. final def wait(): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  120. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  121. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
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    @throws( ... ) @native()
  122. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from BasicLogging

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 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