class ImageLIME extends Transformer with LIMEBase with Wrappable with HasModifier with HasCellSize with BasicLogging
Distributed implementation of Local Interpretable Model-Agnostic Explanations (LIME)
https://arxiv.org/pdf/1602.04938v1.pdf
- Annotations
- @deprecated
- Deprecated
(Since version 1.0.0-rc3) Please use 'com.microsoft.azure.synapse.ml.explainers.ImageLIME'.
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Inherited
- ImageLIME
- BasicLogging
- HasCellSize
- HasModifier
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- LIMEBase
- ComplexParamsWritable
- MLWritable
- LIMEParams
- HasPredictionCol
- HasOutputCol
- HasInputCol
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
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final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
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final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
$[T](param: Param[T]): T
- Attributes
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- Definition Classes
- Params
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final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
arrToMat(dvs: Seq[DenseVector]): DenseMatrix
- Attributes
- protected
- Definition Classes
- LIMEBase
-
val
arrToMatUDF: UserDefinedFunction
- Attributes
- protected
- Definition Classes
- LIMEBase
-
def
arrToVect(ds: Seq[Double]): DenseVector
- Attributes
- protected
- Definition Classes
- LIMEBase
-
val
arrToVectUDF: UserDefinedFunction
- Attributes
- protected
- Definition Classes
- LIMEBase
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
val
cellSize: DoubleParam
- Definition Classes
- HasCellSize
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lazy val
classNameHelper: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
final
def
clear(param: Param[_]): ImageLIME.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
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def
companionModelClassName: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
def
copy(extra: ParamMap): Transformer
- Definition Classes
- ImageLIME → Transformer → PipelineStage → Params
-
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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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
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def
dotnetClass(): String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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lazy val
dotnetClassName: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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lazy val
dotnetClassNameString: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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lazy val
dotnetClassWrapperName: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
-
lazy val
dotnetCopyrightLines: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetExtraMethods: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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lazy val
dotnetInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetMLReadWriteMethods: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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lazy val
dotnetNamespace: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
-
lazy val
dotnetObjectBaseClass: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
-
def
dotnetParamGetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetParamGetters: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetParamSetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetParamSetters: String
- Attributes
- protected
- Definition Classes
- DotnetWrappable
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def
dotnetWrapAsTypeMethod: String
- Attributes
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- Definition Classes
- DotnetWrappable
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
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def
explainParams(): String
- Definition Classes
- Params
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final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
val
fitLassoUDF: UserDefinedFunction
- Attributes
- protected
- Definition Classes
- LIMEBase
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getCellSize: Double
- Definition Classes
- HasCellSize
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getInputCol: String
- Definition Classes
- HasInputCol
-
def
getModel: Transformer
- Definition Classes
- LIMEParams
-
def
getModifier: Double
- Definition Classes
- HasModifier
-
def
getNSamples: Int
- Definition Classes
- LIMEParams
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getOutputCol: String
- Definition Classes
- HasOutputCol
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
-
final
def
getPredictionCol: String
- Definition Classes
- HasPredictionCol
-
def
getRegularization: Double
- Definition Classes
- LIMEParams
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val
getSampleUDF: UserDefinedFunction
- Attributes
- protected
- Definition Classes
- LIMEBase
-
def
getSamples(n: Int): Seq[Seq[Boolean]]
- Attributes
- protected
- Definition Classes
- LIMEBase
-
def
getSamplingFraction: Double
- Definition Classes
- LIMEParams
- def getSuperpixelCol: String
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
val
inputCol: Param[String]
The name of the input column
The name of the input column
- Definition Classes
- HasInputCol
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
-
def
logBase(methodName: String): Unit
- Attributes
- protected
- Definition Classes
- BasicLogging
-
def
logClass(): Unit
- Definition Classes
- BasicLogging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logErrorBase(methodName: String, e: Exception): Unit
- Attributes
- protected
- Definition Classes
- BasicLogging
-
def
logFit[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
-
def
logPredict[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrain[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logTransform[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
-
def
logVerb[T](verb: String, f: ⇒ T): T
- Definition Classes
- BasicLogging
-
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
-
val
model: TransformerParam
- Definition Classes
- LIMEParams
-
val
modifier: DoubleParam
- Definition Classes
- HasModifier
-
val
nSamples: IntParam
- Definition Classes
- LIMEParams
-
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()
-
val
outputCol: Param[String]
The name of the output column
The name of the output column
- Definition Classes
- HasOutputCol
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
final
val
predictionCol: Param[String]
- Definition Classes
- HasPredictionCol
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
lazy val
pyClassDoc: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
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
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
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
regularization: DoubleParam
- Definition Classes
- LIMEParams
-
val
samplingFraction: DoubleParam
- Definition Classes
- LIMEParams
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set(paramPair: ParamPair[_]): ImageLIME.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): ImageLIME.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): ImageLIME.this.type
- Definition Classes
- Params
-
def
setCellSize(v: Double): ImageLIME.this.type
- Definition Classes
- HasCellSize
-
final
def
setDefault(paramPairs: ParamPair[_]*): ImageLIME.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): ImageLIME.this.type
- Attributes
- protected
- Definition Classes
- Params
-
def
setInputCol(value: String): ImageLIME.this.type
- Definition Classes
- HasInputCol
-
def
setModel(v: Transformer): ImageLIME.this.type
- Definition Classes
- LIMEParams
-
def
setModifier(v: Double): ImageLIME.this.type
- Definition Classes
- HasModifier
-
def
setNSamples(v: Int): ImageLIME.this.type
- Definition Classes
- LIMEParams
-
def
setOutputCol(value: String): ImageLIME.this.type
- Definition Classes
- HasOutputCol
-
def
setPredictionCol(v: String): ImageLIME.this.type
- Definition Classes
- LIMEParams
-
def
setRegularization(v: Double): ImageLIME.this.type
- Definition Classes
- LIMEParams
-
def
setSamplingFraction(d: Double): ImageLIME.this.type
- Definition Classes
- LIMEParams
- def setSuperpixelCol(v: String): ImageLIME.this.type
- val superpixelCol: Param[String]
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
thisStage: Params
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- ImageLIME → 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
- ImageLIME → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- ImageLIME → BasicLogging → Identifiable
-
val
ver: String
- Definition Classes
- BasicLogging
-
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()
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable