SOM

Instance Constructors

new SOM()
new SOM(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[_]): SOM.this.type

Definition Classes
Params
def clone(): AnyRef

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

Definition Classes
SOM → Estimator → PipelineStage → Params
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 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 featuresCol: Param[String]

Param for features column name.
Param for features column name.

Definition Classes
HasFeaturesCol
def finalize(): Unit

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

Definition Classes
SOM → Estimator
def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[SOMModel]

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

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

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 getFeaturesCol: String

Definition Classes
HasFeaturesCol
def getHeight: Int

Definition Classes
SOMParams
final def getMaxIter: Int

Definition Classes
HasMaxIter
def getNeighborhoodKernel: String

Definition Classes
SOMParams
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 getSeed: Long

Definition Classes
HasSeed
def getTMax: Double

Definition Classes
SOMParams
def getTMin: Double

Definition Classes
SOMParams
def getTemperatureDecay: String

Definition Classes
SOMParams
final def getTol: Double

Definition Classes
HasTol
def getTopology: String

Definition Classes
SOMParams
def getWidth: Int

Definition Classes
SOMParams
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 height: IntParam

The height of the map to create (height).
The height of the map to create (height). Must be > 1. Default: 10.

Definition Classes
SOMParams
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
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

Param for maximum number of iterations (>= 0).
Param for maximum number of iterations (>= 0).

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

Definition Classes
AnyRef
final val neighborhoodKernel: Param[String]

Param for the neighborhood kernel type.
Param for the neighborhood kernel type. This can be either "gaussian" or "rectangular". Default: gaussian.

Definition Classes
SOMParams
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]

Param for prediction column name.
Param for prediction column name.

Definition Classes
HasPredictionCol
def run(data: RDD[Vector]): SOMModel
def runAlgorithm(data: RDD[VectorWithNorm]): SOMModel
final val seed: LongParam

Param for random seed.
Param for random seed.

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

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

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

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

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

Attributes
protected
Definition Classes
Params
def setFeaturesCol(value: String): SOM.this.type
def setHeight(value: Int): SOM.this.type
def setInitialModel(model: SOMModel): SOM.this.type
def setMaxIter(value: Int): SOM.this.type
def setNeighborhoodKernel(value: String): SOM.this.type
def setPredictionCol(value: String): SOM.this.type
def setSeed(value: Long): SOM.this.type
def setTMax(value: Double): SOM.this.type
def setTMin(value: Double): SOM.this.type
def setTemperatureDecay(value: String): SOM.this.type
def setTol(value: Double): SOM.this.type
def setTopology(value: String): SOM.this.type
def setWidth(value: Int): SOM.this.type
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
final val tMax: DoubleParam

Initial temperature parameter value (tMax).
Initial temperature parameter value (tMax). Must be > 0.0. Default: 10.0.

Definition Classes
SOMParams
final val tMin: DoubleParam

Final temperature parameter value (tMin).
Final temperature parameter value (tMin). Must be > 0.0. Default: 0.1.

Definition Classes
SOMParams
final val temperatureDecay: Param[String]

Param for the temperature decay type.
Param for the temperature decay type. This can be either "exponential" or "linear". Default: exponential.

Definition Classes
SOMParams
def toString(): String

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

Param for the convergence tolerance for iterative algorithms (>= 0).
Param for the convergence tolerance for iterative algorithms (>= 0).

Definition Classes
HasTol
final val topology: Param[String]

Param for the map grid topology type.
Param for the map grid topology type. Only "rectangular" is available at the moment, hexagonal will soon be added. Default: rectangular.

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

Definition Classes
SOM → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

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

Definition Classes
SOM → Identifiable
def validateAndTransformSchema(schema: StructType): StructType

Validates and transforms the input schema.
Validates and transforms the input schema.
schema
input schema
returns
output schema

Attributes
protected
Definition Classes
SOMParams
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( ... )
final val width: IntParam

The width of the map to create (width).
The width of the map to create (width). Must be > 1. Default: 10.

Definition Classes
SOMParams

Related Docs: object SOM | package som

class SOM extends Estimator[SOMModel] with SOMParams

Instance Constructors

new SOM()

new SOM(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[_]): SOM.this.type

def clone(): AnyRef

def copy(extra: ParamMap): SOM

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

final val featuresCol: Param[String]

def finalize(): Unit

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

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

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

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

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

final def getClass(): Class[_]

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

final def getFeaturesCol: String

def getHeight: Int

final def getMaxIter: Int

def getNeighborhoodKernel: String

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

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

final def getPredictionCol: String

final def getSeed: Long

def getTMax: Double

def getTMin: Double

def getTemperatureDecay: String

final def getTol: Double

def getTopology: String

def getWidth: Int

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

final val height: IntParam

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

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 val neighborhoodKernel: Param[String]

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]

final val predictionCol: Param[String]

def run(data: RDD[Vector]): SOMModel

def runAlgorithm(data: RDD[VectorWithNorm]): SOMModel

final val seed: LongParam

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

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

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