trait LIMEParams extends HasInputCol with HasOutputCol with HasPredictionCol
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- LIMEParams
- HasPredictionCol
- HasOutputCol
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final
def
!=(arg0: Any): Boolean
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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
def
clear(param: Param[_]): LIMEParams.this.type
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def
clone(): AnyRef
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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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
- Definition Classes
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def
explainParams(): String
- Definition Classes
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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def
finalize(): Unit
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final
def
get[T](param: Param[T]): Option[T]
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final
def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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def
getInputCol: String
- Definition Classes
- HasInputCol
- def getModel: Transformer
- def getNSamples: Int
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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def
getOutputCol: String
- Definition Classes
- HasOutputCol
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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final
def
getPredictionCol: String
- Definition Classes
- HasPredictionCol
- def getRegularization: Double
- def getSamplingFraction: Double
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
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def
hasParam(paramName: String): Boolean
- Definition Classes
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def
hashCode(): Int
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val
inputCol: Param[String]
The name of the input column
The name of the input column
- Definition Classes
- HasInputCol
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
- val model: TransformerParam
- val nSamples: IntParam
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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val
outputCol: Param[String]
The name of the output column
The name of the output column
- Definition Classes
- HasOutputCol
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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final
val
predictionCol: Param[String]
- Definition Classes
- HasPredictionCol
- val regularization: DoubleParam
- val samplingFraction: DoubleParam
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final
def
set(paramPair: ParamPair[_]): LIMEParams.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): LIMEParams.this.type
- Attributes
- protected
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final
def
set[T](param: Param[T], value: T): LIMEParams.this.type
- Definition Classes
- Params
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final
def
setDefault(paramPairs: ParamPair[_]*): LIMEParams.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): LIMEParams.this.type
- Attributes
- protected
- Definition Classes
- Params
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def
setInputCol(value: String): LIMEParams.this.type
- Definition Classes
- HasInputCol
- def setModel(v: Transformer): LIMEParams.this.type
- def setNSamples(v: Int): LIMEParams.this.type
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def
setOutputCol(value: String): LIMEParams.this.type
- Definition Classes
- HasOutputCol
- def setPredictionCol(v: String): LIMEParams.this.type
- def setRegularization(v: Double): LIMEParams.this.type
- def setSamplingFraction(d: Double): LIMEParams.this.type
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
- Definition Classes
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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