LIMEBase

abstract def copy(extra: ParamMap): Params

abstract val uid: String

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

def additionalPythonMethods(): String

def arrToMat(dvs: Seq[DenseVector]): DenseMatrix

val arrToMatUDF: UserDefinedFunction

def arrToVect(ds: Seq[Double]): DenseVector

val arrToVectUDF: UserDefinedFunction

final def asInstanceOf[T0]: T0

final def clear(param: Param[_]): LIMEBase.this.type

def clone(): AnyRef

def copyValues[T <: Params](to: T, extra: ParamMap): T

final def defaultCopy[T <: Params](extra: ParamMap): T

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def finalize(): Unit

val fitLassoUDF: UserDefinedFunction

final def get[T](param: Param[T]): Option[T]

final def getClass(): Class[_]

final def getDefault[T](param: Param[T]): Option[T]

def getInputCol: String

def getModel: Transformer

def getNSamples: Int

final def getOrDefault[T](param: Param[T]): T

def getOutputCol: String

def getParam(paramName: String): Param[Any]

final def getPredictionCol: String

def getRegularization: Double

val getSampleUDF: UserDefinedFunction

def getSamples(n: Int): Seq[Seq[Boolean]]

def getSamplingFraction: Double

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hashCode(): Int

val inputCol: Param[String]

The name of the input column

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

val model: TransformerParam

val nSamples: IntParam

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val outputCol: Param[String]

The name of the output column

lazy val params: Array[Param[_]]

final val predictionCol: Param[String]

val regularization: DoubleParam

val samplingFraction: DoubleParam

def save(path: String): Unit

final def set(paramPair: ParamPair[_]): LIMEBase.this.type

final def set(param: String, value: Any): LIMEBase.this.type

final def set[T](param: Param[T], value: T): LIMEBase.this.type

final def setDefault(paramPairs: ParamPair[_]*): LIMEBase.this.type

final def setDefault[T](param: Param[T], value: T): LIMEBase.this.type

def setInputCol(value: String): LIMEBase.this.type

def setModel(v: Transformer): LIMEBase.this.type

def setNSamples(v: Int): LIMEBase.this.type

def setOutputCol(value: String): LIMEBase.this.type

def setPredictionCol(v: String): LIMEBase.this.type

def setRegularization(v: Double): LIMEBase.this.type

def setSamplingFraction(d: Double): LIMEBase.this.type

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

def write: MLWriter