class TabularLIME extends LIMEBase with HasInputCols with HasBackgroundData
Linear Supertypes
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Inherited
- TabularLIME
- HasBackgroundData
- HasInputCols
- LIMEBase
- SynapseMLLogging
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- LIMEParams
- HasMetricsCol
- HasNumSamples
- LocalExplainer
- ComplexParamsWritable
- MLWritable
- HasModel
- HasOutputCol
- HasExplainTarget
- CanValidateSchema
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
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Visibility
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Value Members
-
final
val
backgroundData: DataFrameParam
- Definition Classes
- HasBackgroundData
- val categoricalFeatures: StringArrayParam
-
final
def
clear(param: Param[_]): TabularLIME.this.type
- Definition Classes
- Params
-
def
copy(extra: ParamMap): Transformer
- Definition Classes
- LIMEBase → Transformer → PipelineStage → Params
-
def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
-
def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getBackgroundData: DataFrame
- Definition Classes
- HasBackgroundData
- def getCategoricalFeatures: Array[String]
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getInputCols: Array[String]
- Definition Classes
- HasInputCols
-
def
getKernelWidth: Double
- Definition Classes
- LIMEParams
-
final
def
getMetricsCol: String
- Definition Classes
- HasMetricsCol
-
final
def
getModel: Transformer
- Definition Classes
- HasModel
-
final
def
getNumSamples: Int
- Definition Classes
- HasNumSamples
-
final
def
getNumSamplesOpt: Option[Int]
- Definition Classes
- HasNumSamples
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
final
def
getOutputCol: String
- Definition Classes
- HasOutputCol
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
-
def
getRegularization: Double
- Definition Classes
- LIMEParams
-
final
def
getTargetClasses: Array[Int]
- Definition Classes
- HasExplainTarget
-
final
def
getTargetClassesCol: String
- Definition Classes
- HasExplainTarget
-
final
def
getTargetCol: String
- Definition Classes
- HasExplainTarget
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
final
val
inputCols: StringArrayParam
- Definition Classes
- HasInputCols
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
val
kernelWidth: DoubleParam
- Definition Classes
- LIMEParams
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
-
def
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
-
def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
final
val
metricsCol: Param[String]
- Definition Classes
- HasMetricsCol
-
final
val
model: TransformerParam
- Definition Classes
- HasModel
-
final
val
numSamples: IntParam
- Definition Classes
- HasNumSamples
-
final
val
outputCol: Param[String]
- Definition Classes
- HasOutputCol
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
val
regularization: DoubleParam
- Definition Classes
- LIMEParams
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set[T](param: Param[T], value: T): TabularLIME.this.type
- Definition Classes
- Params
-
final
def
setBackgroundData(value: DataFrame): TabularLIME.this.type
- Definition Classes
- HasBackgroundData
- def setCategoricalFeatures(values: Array[String]): TabularLIME.this.type
- def setInputCols(values: Array[String]): TabularLIME.this.type
-
def
setKernelWidth(v: Double): TabularLIME.this.type
- Definition Classes
- LIMEParams
-
final
def
setMetricsCol(v: String): TabularLIME.this.type
- Definition Classes
- HasMetricsCol
-
final
def
setModel(v: Transformer): TabularLIME.this.type
- Definition Classes
- HasModel
-
final
def
setNumSamples(value: Int): TabularLIME.this.type
- Definition Classes
- HasNumSamples
-
final
def
setOutputCol(value: String): TabularLIME.this.type
- Definition Classes
- LocalExplainer
-
def
setRegularization(v: Double): TabularLIME.this.type
- Definition Classes
- LIMEParams
-
final
def
setTargetClasses(values: Array[Int]): TabularLIME.this.type
- Definition Classes
- HasExplainTarget
-
final
def
setTargetClassesCol(value: String): TabularLIME.this.type
- Definition Classes
- HasExplainTarget
-
final
def
setTargetCol(value: String): TabularLIME.this.type
- Definition Classes
- HasExplainTarget
-
final
val
targetClasses: IntArrayParam
- Definition Classes
- HasExplainTarget
-
final
val
targetClassesCol: Param[String]
- Definition Classes
- HasExplainTarget
-
final
val
targetCol: Param[String]
- Definition Classes
- HasExplainTarget
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
final
def
transform(instances: Dataset[_]): DataFrame
- Definition Classes
- LIMEBase → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- LIMEBase → LocalExplainer → PipelineStage
-
val
uid: String
- Definition Classes
- TabularLIME → LIMEBase → SynapseMLLogging → Identifiable
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable