XKMeans

Instance Constructors

new XKMeans()
new XKMeans(uid: String)

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
final def clear(param: Param[_]): XKMeans.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copy(extra: ParamMap): KMeans

Definition Classes
KMeans → Estimator → PipelineStage → Params
Annotations
@Since( "1.5.0" )
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final val distanceMeasure: Param[String]

Definition Classes
HasDistanceMeasure
final val distanceToCentroidCol: Param[String]

Param for distanceToCentroid column name.
Param for distanceToCentroid column name.

Definition Classes
HasDistanceToCentroidCol
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
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 val featureNames: Param[Option[Seq[String]]]

Set the names of the features corresponding to each dimension of the input vectors column
Set the names of the features corresponding to each dimension of the input vectors column

Definition Classes
XKMeansParams
final val featuresCol: Param[String]

Definition Classes
HasFeaturesCol
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fit(dataset: Dataset[_]): XKMeansModel

Definition Classes
XKMeans → KMeans → Estimator
def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[KMeansModel]

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], paramMap: ParamMap): KMeansModel

Definition Classes
Estimator
Annotations
@Since( "2.0.0" )
def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): KMeansModel

Definition Classes
Estimator
Annotations
@Since( "2.0.0" ) @varargs()
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getDistanceMeasure: String

Definition Classes
HasDistanceMeasure
final def getDistanceToCentroidCol: String

Definition Classes
HasDistanceToCentroidCol
def getFeatureNames: Option[Seq[String]]

Definition Classes
XKMeansParams
final def getFeaturesCol: String

Definition Classes
HasFeaturesCol
def getInitMode: String

Definition Classes
KMeansParams
Annotations
@Since( "1.5.0" )
def getInitSteps: Int

Definition Classes
KMeansParams
Annotations
@Since( "1.5.0" )
def getK: Int

Definition Classes
KMeansParams
Annotations
@Since( "1.5.0" )
final def getMaxIter: Int

Definition Classes
HasMaxIter
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
final def getPredictionCol: String

Definition Classes
HasPredictionCol
final def getProbabilityByFeatureCol: String

Definition Classes
HasProbabilityByFeatureCol
final def getProbabilityCol: String

Definition Classes
HasProbabilityCol
final def getSeed: Long

Definition Classes
HasSeed
final def getTol: Double

Definition Classes
HasTol
def getXSigma: Double

Definition Classes
XKMeansParams
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
final val initMode: Param[String]

Definition Classes
KMeansParams
Annotations
@Since( "1.5.0" )
final val initSteps: IntParam

Definition Classes
KMeansParams
Annotations
@Since( "1.5.0" )
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
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
final val k: IntParam

Definition Classes
KMeansParams
Annotations
@Since( "1.5.0" )
def log: Logger

Attributes
protected
Definition Classes
Logging
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 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 logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final val maxIter: IntParam

Definition Classes
HasMaxIter
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
lazy val params: Array[Param[_]]

Definition Classes
Params
final val predictionCol: Param[String]

Definition Classes
HasPredictionCol
final val probabilityByFeatureCol: Param[String]

Param for probabilityByFeature column name.
Param for probabilityByFeature column name.

Definition Classes
HasProbabilityByFeatureCol
final val probabilityCol: Param[String]

Definition Classes
HasProbabilityCol
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final val seed: LongParam

Definition Classes
HasSeed
final def set(paramPair: ParamPair[_]): XKMeans.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): XKMeans.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): XKMeans.this.type

Definition Classes
Params
final def setDefault(paramPairs: ParamPair[_]*): XKMeans.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): XKMeans.this.type

Attributes
protected
Definition Classes
Params
def setDistanceMeasure(value: String): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "2.4.0" )
def setFeatureNames(value: Option[Seq[String]]): XKMeans.this.type
def setFeaturesCol(value: String): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setInitMode(value: String): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setInitSteps(value: Int): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setK(value: Int): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setMaxIter(value: Int): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setPredictionCol(value: String): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setSeed(value: Long): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setTol(value: Double): XKMeans.this.type

Definition Classes
KMeans
Annotations
@Since( "1.5.0" )
def setXSigma(value: Double): XKMeans.this.type

Definition Classes
XKMeansParams
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
final val tol: DoubleParam

Definition Classes
HasTol
def transformSchema(schema: StructType): StructType

Definition Classes
KMeans → PipelineStage
Annotations
@Since( "1.5.0" )
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

Definition Classes
XKMeans → KMeans → Identifiable
def validateAndTransformSchema(schema: StructType): StructType

Attributes
protected
Definition Classes
KMeansParams
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( ... )
def write: MLWriter

Definition Classes
DefaultParamsWritable → MLWritable
final val xSigma: DoubleParam

The ratio of standard deviation used to compute probability
The ratio of standard deviation used to compute probability

Definition Classes
XKMeansParams

Related Doc: package tupol

class XKMeans extends KMeans with XKMeansParams

Instance Constructors

new XKMeans()

new XKMeans(uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

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

def clone(): AnyRef

def copy(extra: ParamMap): KMeans

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

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

final val distanceMeasure: Param[String]

final val distanceToCentroidCol: Param[String]

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

final val featureNames: Param[Option[Seq[String]]]

final val featuresCol: Param[String]

def finalize(): Unit

def fit(dataset: Dataset[_]): XKMeansModel

def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[KMeansModel]

def fit(dataset: Dataset[_], paramMap: ParamMap): KMeansModel

def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): KMeansModel

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

final def getClass(): Class[_]

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

final def getDistanceMeasure: String

final def getDistanceToCentroidCol: String

def getFeatureNames: Option[Seq[String]]

final def getFeaturesCol: String

def getInitMode: String

def getInitSteps: Int

def getK: Int

final def getMaxIter: Int

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

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

final def getPredictionCol: String

final def getProbabilityByFeatureCol: String

final def getProbabilityCol: String

final def getSeed: Long

final def getTol: Double

def getXSigma: Double

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

final val initMode: Param[String]

final val initSteps: IntParam

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

final def isInstanceOf[T0]: Boolean

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

def isTraceEnabled(): Boolean

final val k: IntParam

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

final val maxIter: IntParam

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]