Packages

class TabularLIMEModel extends Model[TabularLIMEModel] with LIMEBase with Wrappable with BasicLogging

Annotations
@deprecated
Deprecated

(Since version 1.0.0-rc3) Please use 'com.microsoft.azure.synapse.ml.explainers.VectorLIME'.

Linear Supertypes
BasicLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, LIMEBase, ComplexParamsWritable, MLWritable, LIMEParams, HasPredictionCol, HasOutputCol, HasInputCol, Model[TabularLIMEModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. TabularLIMEModel
  2. BasicLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. LIMEBase
  8. ComplexParamsWritable
  9. MLWritable
  10. LIMEParams
  11. HasPredictionCol
  12. HasOutputCol
  13. HasInputCol
  14. Model
  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 TabularLIMEModel()
  2. new TabularLIMEModel(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. def arrToMat(dvs: Seq[DenseVector]): DenseMatrix
    Attributes
    protected
    Definition Classes
    LIMEBase
  6. val arrToMatUDF: UserDefinedFunction
    Attributes
    protected
    Definition Classes
    LIMEBase
  7. def arrToVect(ds: Seq[Double]): DenseVector
    Attributes
    protected
    Definition Classes
    LIMEBase
  8. val arrToVectUDF: UserDefinedFunction
    Attributes
    protected
    Definition Classes
    LIMEBase
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. final def clear(param: Param[_]): TabularLIMEModel.this.type
    Definition Classes
    Params
  12. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  13. val columnSTDs: DoubleArrayParam
  14. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  15. def copy(extra: ParamMap): TabularLIMEModel
    Definition Classes
    TabularLIMEModel → Model → Transformer → PipelineStage → Params
  16. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  17. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  18. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  19. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  21. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  22. def explainParams(): String
    Definition Classes
    Params
  23. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  24. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  25. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  26. val fitLassoUDF: UserDefinedFunction
    Attributes
    protected
    Definition Classes
    LIMEBase
  27. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  28. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. def getColumnSTDs: Array[Double]
  30. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  31. def getInputCol: String

    Definition Classes
    HasInputCol
  32. def getModel: Transformer
    Definition Classes
    LIMEParams
  33. def getNSamples: Int
    Definition Classes
    LIMEParams
  34. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  35. def getOutputCol: String

    Definition Classes
    HasOutputCol
  36. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  37. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  38. def getRegularization: Double
    Definition Classes
    LIMEParams
  39. val getSampleUDF: UserDefinedFunction
    Attributes
    protected
    Definition Classes
    LIMEBase
  40. def getSamples(n: Int): Seq[Seq[Boolean]]
    Attributes
    protected
    Definition Classes
    LIMEBase
  41. def getSamplingFraction: Double
    Definition Classes
    LIMEParams
  42. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  43. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  44. def hasParent: Boolean
    Definition Classes
    Model
  45. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  46. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  47. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  49. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  50. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  51. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  52. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  53. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  54. def logBase(methodName: String): Unit
    Attributes
    protected
    Definition Classes
    BasicLogging
  55. def logClass(): Unit
    Definition Classes
    BasicLogging
  56. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    BasicLogging
  61. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  62. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  65. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  66. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  69. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  70. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  71. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  74. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  75. val model: TransformerParam
    Definition Classes
    LIMEParams
  76. val nSamples: IntParam
    Definition Classes
    LIMEParams
  77. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  78. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  79. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  80. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  81. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  82. var parent: Estimator[TabularLIMEModel]
    Definition Classes
    Model
  83. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  84. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  85. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  91. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  95. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  96. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  97. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  98. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  99. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  100. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  101. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  102. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  103. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  104. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  105. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  106. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  107. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  108. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  109. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  110. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  111. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  112. val regularization: DoubleParam
    Definition Classes
    LIMEParams
  113. val samplingFraction: DoubleParam
    Definition Classes
    LIMEParams
  114. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  115. final def set(paramPair: ParamPair[_]): TabularLIMEModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  116. final def set(param: String, value: Any): TabularLIMEModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  117. final def set[T](param: Param[T], value: T): TabularLIMEModel.this.type
    Definition Classes
    Params
  118. def setColumnSTDs(v: Array[Double]): TabularLIMEModel.this.type
  119. final def setDefault(paramPairs: ParamPair[_]*): TabularLIMEModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  120. final def setDefault[T](param: Param[T], value: T): TabularLIMEModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  121. def setInputCol(value: String): TabularLIMEModel.this.type

    Definition Classes
    HasInputCol
  122. def setModel(v: Transformer): TabularLIMEModel.this.type
    Definition Classes
    LIMEParams
  123. def setNSamples(v: Int): TabularLIMEModel.this.type
    Definition Classes
    LIMEParams
  124. def setOutputCol(value: String): TabularLIMEModel.this.type

    Definition Classes
    HasOutputCol
  125. def setParent(parent: Estimator[TabularLIMEModel]): TabularLIMEModel
    Definition Classes
    Model
  126. def setPredictionCol(v: String): TabularLIMEModel.this.type
    Definition Classes
    LIMEParams
  127. def setRegularization(v: Double): TabularLIMEModel.this.type
    Definition Classes
    LIMEParams
  128. def setSamplingFraction(d: Double): TabularLIMEModel.this.type
    Definition Classes
    LIMEParams
  129. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  130. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  131. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    TabularLIMEModel → 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
    TabularLIMEModel → PipelineStage
  135. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  136. val uid: String
    Definition Classes
    TabularLIMEModel → BasicLogging → Identifiable
  137. val ver: String
    Definition Classes
    BasicLogging
  138. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  139. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  140. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  141. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from BasicLogging

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from LIMEBase

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from LIMEParams

Inherited from HasPredictionCol

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Model[TabularLIMEModel]

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