class ResidualTransformer extends Transformer with HasOutputCol with DefaultParamsWritable with Wrappable with SynapseMLLogging

Compute the differences between observed and predicted values of data. for classification, we compute residual as "observed - probability($(classIndex))" for regression, we compute residual as "observed - prediction"

Linear Supertypes
SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, DefaultParamsWritable, MLWritable, HasOutputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ResidualTransformer
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. DefaultParamsWritable
  8. MLWritable
  9. HasOutputCol
  10. Transformer
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ResidualTransformer()
  2. new ResidualTransformer(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. val classIndex: IntParam
  7. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  8. final def clear(param: Param[_]): ResidualTransformer.this.type
    Definition Classes
    Params
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. def copy(extra: ParamMap): ResidualTransformer
    Definition Classes
    ResidualTransformer → Transformer → PipelineStage → Params
  12. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  13. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  14. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  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
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  23. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. final def getClassIndex: Int
  25. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  26. final def getObservedCol: String
  27. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  28. def getOutputCol: String

    Definition Classes
    HasOutputCol
  29. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  30. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  31. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  32. final def getPredictedCol: String
  33. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  34. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  35. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  36. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  37. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  39. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  40. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  41. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  42. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  43. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  44. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  45. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  46. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  51. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  52. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  55. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  58. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  59. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  62. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  63. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  64. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  65. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  66. val observedCol: Param[String]
  67. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  68. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  69. val predictedCol: Param[String]
  70. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  71. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  72. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  73. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  74. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  75. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  76. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  77. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  90. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  91. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  92. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  93. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  94. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  97. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  98. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  99. final def set(paramPair: ParamPair[_]): ResidualTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  100. final def set(param: String, value: Any): ResidualTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  101. final def set[T](param: Param[T], value: T): ResidualTransformer.this.type
    Definition Classes
    Params
  102. def setClassIndex(value: Int): ResidualTransformer.this.type
  103. final def setDefault(paramPairs: ParamPair[_]*): ResidualTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  104. final def setDefault[T](param: Param[T], value: T): ResidualTransformer.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  105. def setObservedCol(value: String): ResidualTransformer.this.type
  106. def setOutputCol(value: String): ResidualTransformer.this.type

    Definition Classes
    HasOutputCol
  107. def setPredictedCol(value: String): ResidualTransformer.this.type
  108. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  109. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  110. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  111. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    ResidualTransformer → Transformer
  112. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  113. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  114. def transformSchema(schema: StructType): StructType
    Definition Classes
    ResidualTransformer → PipelineStage
  115. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  116. val uid: String
    Definition Classes
    ResidualTransformerSynapseMLLogging → Identifiable
  117. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  118. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  119. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  120. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputCol

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