Packages

class ComputeModelStatistics extends Transformer with ComputeModelStatisticsParams with SynapseMLLogging

Evaluates the given scored dataset.

Linear Supertypes
SynapseMLLogging, ComputeModelStatisticsParams, HasEvaluationMetric, 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. ComputeModelStatistics
  2. SynapseMLLogging
  3. ComputeModelStatisticsParams
  4. HasEvaluationMetric
  5. HasScoredLabelsCol
  6. HasScoresCol
  7. HasLabelCol
  8. DefaultParamsWritable
  9. MLWritable
  10. Wrappable
  11. DotnetWrappable
  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 ComputeModelStatistics()
  2. new ComputeModelStatistics(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
    Attributes
    protected
    Definition Classes
    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
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): ComputeModelStatistics.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): Transformer
    Definition Classes
    ComputeModelStatistics → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  15. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  16. lazy val dotnetClassName: String
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    protected
    Definition Classes
    DotnetWrappable
  17. lazy val dotnetClassNameString: String
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    protected
    Definition Classes
    DotnetWrappable
  18. lazy val dotnetClassWrapperName: String
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    protected
    Definition Classes
    DotnetWrappable
  19. lazy val dotnetCopyrightLines: String
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    protected
    Definition Classes
    DotnetWrappable
  20. def dotnetExtraEstimatorImports: String
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    protected
    Definition Classes
    DotnetWrappable
  21. def dotnetExtraMethods: String
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    protected
    Definition Classes
    DotnetWrappable
  22. lazy val dotnetInternalWrapper: Boolean
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    protected
    Definition Classes
    DotnetWrappable
  23. def dotnetMLReadWriteMethods: String
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    Definition Classes
    DotnetWrappable
  24. lazy val dotnetNamespace: String
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    protected
    Definition Classes
    DotnetWrappable
  25. lazy val dotnetObjectBaseClass: String
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    protected
    Definition Classes
    DotnetWrappable
  26. def dotnetParamGetter(p: Param[_]): String
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    Definition Classes
    DotnetWrappable
  27. def dotnetParamGetters: String
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    Definition Classes
    DotnetWrappable
  28. def dotnetParamSetter(p: Param[_]): String
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    protected
    Definition Classes
    DotnetWrappable
  29. def dotnetParamSetters: String
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    Definition Classes
    DotnetWrappable
  30. def dotnetWrapAsTypeMethod: String
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    Definition Classes
    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
    Definition Classes
    Params
  37. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  38. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  39. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  40. final def getClass(): Class[_]
    Definition Classes
    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]
    Definition Classes
    Params
  46. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  47. def getScoredLabelsCol: String

    Definition Classes
    HasScoredLabelsCol
  48. def getScoresCol: String

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

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  59. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  60. def logBase(info: SynapseMLLogInfo): Unit
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    protected
    Definition Classes
    SynapseMLLogging
  61. def logBase(methodName: String, columns: Option[Int]): Unit
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    Definition Classes
    SynapseMLLogging
  62. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  63. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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    Definition Classes
    Logging
  64. def logDebug(msg: ⇒ String): Unit
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    Definition Classes
    Logging
  65. def logError(msg: ⇒ String, throwable: Throwable): Unit
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    Definition Classes
    Logging
  66. def logError(msg: ⇒ String): Unit
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    Definition Classes
    Logging
  67. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  68. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  69. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
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    Definition Classes
    Logging
  70. def logInfo(msg: ⇒ String): Unit
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    Definition Classes
    Logging
  71. def logName: String
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    Definition Classes
    Logging
  72. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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    Definition Classes
    Logging
  73. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  75. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  76. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  77. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
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    Definition Classes
    Logging
  78. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  80. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  81. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  82. lazy val metricsLogger: MetricsLogger
  83. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  84. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  85. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  86. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  87. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  88. lazy val pyClassDoc: String
    Attributes
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    Definition Classes
    PythonWrappable
  89. lazy val pyClassName: String
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    PythonWrappable
  90. def pyExtraEstimatorImports: String
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    Definition Classes
    PythonWrappable
  91. def pyExtraEstimatorMethods: String
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    Definition Classes
    PythonWrappable
  92. lazy val pyInheritedClasses: Seq[String]
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    Definition Classes
    PythonWrappable
  93. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  94. lazy val pyInternalWrapper: Boolean
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    Definition Classes
    PythonWrappable
  95. lazy val pyObjectBaseClass: String
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    PythonWrappable
  96. def pyParamArg[T](p: Param[T]): String
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    Definition Classes
    PythonWrappable
  97. def pyParamDefault[T](p: Param[T]): Option[String]
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    Definition Classes
    PythonWrappable
  98. def pyParamGetter(p: Param[_]): String
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    Definition Classes
    PythonWrappable
  99. def pyParamSetter(p: Param[_]): String
    Attributes
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    Definition Classes
    PythonWrappable
  100. def pyParamsArgs: String
    Attributes
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    Definition Classes
    PythonWrappable
  101. def pyParamsDefaults: String
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    Definition Classes
    PythonWrappable
  102. lazy val pyParamsDefinitions: String
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    Definition Classes
    PythonWrappable
  103. def pyParamsGetters: String
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    Definition Classes
    PythonWrappable
  104. def pyParamsSetters: String
    Attributes
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    Definition Classes
    PythonWrappable
  105. def pythonClass(): String
    Attributes
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    Definition Classes
    PythonWrappable
  106. def rClass(): String
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    Definition Classes
    RWrappable
  107. def rDocString: String
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    Definition Classes
    RWrappable
  108. def rExtraBodyLines: String
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    RWrappable
  109. def rExtraInitLines: String
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    Definition Classes
    RWrappable
  110. lazy val rFuncName: String
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    Definition Classes
    RWrappable
  111. lazy val rInternalWrapper: Boolean
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    RWrappable
  112. def rParamArg[T](p: Param[T]): String
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    Definition Classes
    RWrappable
  113. def rParamsArgs: String
    Attributes
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    Definition Classes
    RWrappable
  114. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  115. var rocCurve: DataFrame

    The ROC curve evaluated for a binary classifier.

  116. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  117. val scoredLabelsCol: Param[String]

    The name of the scored labels column

    The name of the scored labels column

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

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

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

    Definition Classes
    HasScoredLabelsCol
  127. def setScoresCol(value: String): ComputeModelStatistics.this.type

    Definition Classes
    HasScoresCol
  128. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  129. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  130. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  131. def transform(dataset: Dataset[_]): DataFrame

    Calculates the metrics for the given dataset and model.

    Calculates the metrics for the given dataset and model.

    dataset

    the dataset to calculate the metrics for

    returns

    DataFrame whose columns contain the calculated metrics

    Definition Classes
    ComputeModelStatistics → Transformer
  132. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  133. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  134. def transformSchema(schema: StructType): StructType
    Definition Classes
    ComputeModelStatistics → PipelineStage
  135. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  136. val uid: String
    Definition Classes
    ComputeModelStatisticsSynapseMLLogging → Identifiable
  137. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  138. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  139. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  140. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from HasEvaluationMetric

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