class TabularSHAP extends KernelSHAPBase with HasInputCols with HasBackgroundData
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- TabularSHAP
- HasBackgroundData
- HasInputCols
- KernelSHAPBase
- SynapseMLLogging
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- RWrappable
- PythonWrappable
- BaseWrappable
- KernelSHAPParams
- HasMetricsCol
- HasNumSamples
- LocalExplainer
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- MLWritable
- HasModel
- HasOutputCol
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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final
val
backgroundData: DataFrameParam
- Definition Classes
- HasBackgroundData
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lazy val
classNameHelper: String
- Attributes
- protected
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final
def
clear(param: Param[_]): TabularSHAP.this.type
- Definition Classes
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def
clone(): AnyRef
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val
coalitionField: String
- Attributes
- protected
- Definition Classes
- KernelSHAPBase
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def
companionModelClassName: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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def
copy(extra: ParamMap): Transformer
- Definition Classes
- KernelSHAPBase → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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lazy val
copyrightLines: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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def
createSamples(df: DataFrame, idCol: String, coalitionCol: String, weightCol: String, targetClassesCol: String): DataFrame
- Attributes
- protected
- Definition Classes
- TabularSHAP → KernelSHAPBase
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
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- Params
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def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
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def
dotnetClass(): String
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lazy val
dotnetClassName: String
- Attributes
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lazy val
dotnetClassNameString: String
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lazy val
dotnetClassWrapperName: String
- Attributes
- protected
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- DotnetWrappable
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lazy val
dotnetCopyrightLines: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetExtraEstimatorImports: String
- Attributes
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- DotnetWrappable
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def
dotnetExtraMethods: String
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- DotnetWrappable
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lazy val
dotnetInternalWrapper: Boolean
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- protected
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def
dotnetMLReadWriteMethods: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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lazy val
dotnetNamespace: String
- Attributes
- protected
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lazy val
dotnetObjectBaseClass: String
- Attributes
- protected
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def
dotnetParamGetter(p: Param[_]): String
- Attributes
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def
dotnetParamGetters: String
- Attributes
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def
dotnetParamSetter(p: Param[_]): String
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def
dotnetParamSetters: String
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def
dotnetWrapAsTypeMethod: String
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
explainParam(param: Param[_]): String
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def
explainParams(): String
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
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def
finalize(): Unit
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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final
def
getBackgroundData: DataFrame
- Definition Classes
- HasBackgroundData
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getInfWeight: Double
- Definition Classes
- KernelSHAPParams
-
final
def
getInputCols: Array[String]
- Definition Classes
- HasInputCols
-
final
def
getMetricsCol: String
- Definition Classes
- HasMetricsCol
-
final
def
getModel: Transformer
- Definition Classes
- HasModel
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final
def
getNumSamples: Int
- Definition Classes
- HasNumSamples
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final
def
getNumSamplesOpt: Option[Int]
- Definition Classes
- HasNumSamples
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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
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
getSampleSchema(sampleType: DataType): DataType
- Attributes
- protected
- Definition Classes
- KernelSHAPBase
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final
def
getTargetClasses: Array[Int]
- Definition Classes
- HasExplainTarget
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final
def
getTargetClassesCol: String
- Definition Classes
- HasExplainTarget
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final
def
getTargetCol: String
- Definition Classes
- HasExplainTarget
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
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def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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val
infWeight: DoubleParam
- Definition Classes
- KernelSHAPParams
-
def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
final
val
inputCols: StringArrayParam
- Definition Classes
- HasInputCols
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
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def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
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def
logBase(info: Map[String, String], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String): Unit
- Attributes
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- Logging
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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- Definition Classes
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def
logError(msg: ⇒ String): Unit
- Attributes
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- Definition Classes
- Logging
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def
logErrorBase(methodName: String, e: Exception): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
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- Definition Classes
- Logging
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def
logName: String
- Attributes
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- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
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def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
-
def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
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
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
val
numSamples: IntParam
- Definition Classes
- HasNumSamples
-
final
val
outputCol: Param[String]
- Definition Classes
- HasOutputCol
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
def
preprocess(df: DataFrame): DataFrame
- Attributes
- protected
- Definition Classes
- LocalExplainer
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
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lazy val
pyClassDoc: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyClassName: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyExtraEstimatorMethods: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyInheritedClasses: Seq[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
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lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyObjectBaseClass: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamDefault[T](p: Param[T]): Option[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamGetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamSetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsArgs: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsDefaults: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
lazy val
pyParamsDefinitions: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamsSetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pythonClass(): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
rClass(): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rDocString: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraBodyLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraInitLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rFuncName: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
val
sampleField: String
- Attributes
- protected
- Definition Classes
- KernelSHAPBase
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set(paramPair: ParamPair[_]): TabularSHAP.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): TabularSHAP.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): TabularSHAP.this.type
- Definition Classes
- Params
-
final
def
setBackgroundData(value: DataFrame): TabularSHAP.this.type
- Definition Classes
- HasBackgroundData
-
final
def
setDefault(paramPairs: ParamPair[_]*): TabularSHAP.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): TabularSHAP.this.type
- Attributes
- protected
- Definition Classes
- Params
-
def
setInfWeight(value: Double): TabularSHAP.this.type
- Definition Classes
- KernelSHAPParams
- def setInputCols(values: Seq[String]): TabularSHAP.this.type
- def setInputCols(values: Array[String]): TabularSHAP.this.type
-
final
def
setMetricsCol(v: String): TabularSHAP.this.type
- Definition Classes
- HasMetricsCol
-
final
def
setModel(v: Transformer): TabularSHAP.this.type
- Definition Classes
- HasModel
-
final
def
setNumSamples(value: Int): TabularSHAP.this.type
- Definition Classes
- HasNumSamples
-
final
def
setOutputCol(value: String): TabularSHAP.this.type
- Definition Classes
- LocalExplainer
-
final
def
setTargetClasses(values: Array[Int]): TabularSHAP.this.type
- Definition Classes
- HasExplainTarget
-
final
def
setTargetClassesCol(value: String): TabularSHAP.this.type
- Definition Classes
- HasExplainTarget
-
final
def
setTargetCol(value: String): TabularSHAP.this.type
- Definition Classes
- HasExplainTarget
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
final
val
targetClasses: IntArrayParam
- Definition Classes
- HasExplainTarget
-
final
val
targetClassesCol: Param[String]
- Definition Classes
- HasExplainTarget
-
final
val
targetCol: Param[String]
- Definition Classes
- HasExplainTarget
-
val
thisStage: Params
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(instances: Dataset[_]): DataFrame
- Definition Classes
- KernelSHAPBase → 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
- KernelSHAPBase → LocalExplainer → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- TabularSHAP → KernelSHAPBase → SynapseMLLogging → Identifiable
-
def
validateSchema(schema: StructType): Unit
- Definition Classes
- TabularSHAP → HasMetricsCol → LocalExplainer → HasExplainTarget → CanValidateSchema
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
val
weightField: String
- Attributes
- protected
- Definition Classes
- KernelSHAPBase
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable