trait SyntheticEstimatorParams extends Params with HasUnitCol with HasTimeCol with HasMaxIter with HasStepSize with HasTol
Linear Supertypes
Known Subclasses
Ordering
- Alphabetic
- By Inheritance
Inherited
- SyntheticEstimatorParams
- HasTol
- HasStepSize
- HasMaxIter
- HasTimeCol
- HasUnitCol
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- All
Abstract Value Members
Concrete 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[_]): SyntheticEstimatorParams.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
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 epsilon: DoubleParam
-
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
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getEpsilon: Double
- def getHandleMissingOutcome: String
- def getLocalSolverThreshold: Long
-
final
def
getMaxIter: Int
- Definition Classes
- HasMaxIter
- def getNumIterNoChange: Int
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
final
def
getStepSize: Double
- Definition Classes
- HasStepSize
-
def
getTimeCol: String
- Definition Classes
- HasTimeCol
-
final
def
getTol: Double
- Definition Classes
- HasTol
-
def
getUnitCol: String
- Definition Classes
- HasUnitCol
- final val handleMissingOutcome: Param[String]
-
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()
-
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
-
final
val
localSolverThreshold: LongParam
Param for deciding whether to collect part of data on driver node and solve the constrained least square problems locally on driver.
-
final
val
maxIter: IntParam
- Definition Classes
- HasMaxIter
-
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()
- final val numIterNoChange: IntParam
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
final
def
set(paramPair: ParamPair[_]): SyntheticEstimatorParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): SyntheticEstimatorParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): SyntheticEstimatorParams.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): SyntheticEstimatorParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): SyntheticEstimatorParams.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
- def setEpsilon(value: Double): SyntheticEstimatorParams.this.type
- def setHandleMissingOutcome(value: String): SyntheticEstimatorParams.this.type
- def setLocalSolverThreshold(value: Long): SyntheticEstimatorParams.this.type
- def setMaxIter(value: Int): SyntheticEstimatorParams.this.type
- def setNumIterNoChange(value: Int): SyntheticEstimatorParams.this.type
- def setStepSize(value: Double): SyntheticEstimatorParams.this.type
-
def
setTimeCol(value: String): SyntheticEstimatorParams.this.type
- Definition Classes
- HasTimeCol
- def setTol(value: Double): SyntheticEstimatorParams.this.type
-
def
setUnitCol(value: String): SyntheticEstimatorParams.this.type
- Definition Classes
- HasUnitCol
-
val
stepSize: DoubleParam
- Definition Classes
- HasStepSize
-
val
supportedMissingOutcomes: Array[String]
- Attributes
- protected
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
final
val
timeCol: Param[String]
- Definition Classes
- HasTimeCol
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
final
val
tol: DoubleParam
- Definition Classes
- HasTol
-
final
val
unitCol: Param[String]
- Definition Classes
- HasUnitCol
-
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()