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, 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. 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
    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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    protected
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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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    protected[lang]
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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[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @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 getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  30. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  31. def getScoredLabelsCol: String

    Definition Classes
    HasScoredLabelsCol
  32. def getScoredProbabilitiesCol: String

    Definition Classes
    HasScoredProbabilitiesCol
  33. def getScoresCol: String

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

    The name of the label column

    The name of the label column

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

    The name of the scored labels column

    The name of the scored labels column

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

    The name of the scored probabilities column

    The name of the scored probabilities column

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

    The name of the scores column

    The name of the scores column

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

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

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

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

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

    Definition Classes
    HasScoresCol
  111. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  112. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  113. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  114. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    ComputePerInstanceStatistics → Transformer
  115. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  116. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  117. def transformSchema(schema: StructType): StructType
    Definition Classes
    ComputePerInstanceStatistics → PipelineStage
  118. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  119. val uid: String
    Definition Classes
    ComputePerInstanceStatistics → SynapseMLLogging → Identifiable
  120. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  121. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  122. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  123. 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 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