OpEstimatorWrapper

Instance Constructors

new OpEstimatorWrapper(estimator: E, uid: String = UID[OpEstimatorWrapper[I, O, E, M]])(implicit tti: scala.reflect.api.JavaUniverse.TypeTag[I], tto: scala.reflect.api.JavaUniverse.TypeTag[O], ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value])

estimator
the estimator to wrap
uid
stage uid

Type Members

final type InputFeatures = FeatureLike[I]

Definition Classes
OpPipelineStage1 → OpPipelineStage → InputParams
final type OutputFeatures = FeatureLike[O]

Definition Classes
OpPipelineStage → OpPipelineStageBase

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 checkInputLength(features: Array[_]): Boolean

Definition Classes
OpPipelineStage1 → InputParams
def checkSerializable: Try[Unit]

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

Definition Classes
Params
def clone(): AnyRef

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

Definition Classes
OpPipelineStageBase → 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
val estimator: E

the estimator to wrap
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[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fit(dataset: Dataset[_]): SwUnaryModel[I, O, M]

Definition Classes
SwUnaryEstimator → Estimator
def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[SwUnaryModel[I, O, M]]

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

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

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 getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

Definition Classes
InputParams
final def getInputFeatures(): Array[OPFeature]

Definition Classes
InputParams
final def getInputSchema(): StructType

Definition Classes
OpPipelineStageParams
final def getMetadata(): Metadata

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

Definition Classes
Params
def getOutput(): FeatureLike[O]

Definition Classes
OpPipelineStage1 → OpPipelineStageBase
final def getOutputFeatureName: String

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

Definition Classes
Params
def getSparkMlStage(): Option[E]

Definition Classes
SparkWrapperParams
def getStageSavePath(): Option[String]

Definition Classes
SparkWrapperParams
final def getTransientFeature(i: Int): Option[TransientFeature]

Definition Classes
InputParams
final def getTransientFeatures(): Array[TransientFeature]

Definition Classes
InputParams
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 def in1: TransientFeature

Attributes
protected
Definition Classes
HasIn1
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
final def inputAsArray(in: InputFeatures): Array[OPFeature]

Definition Classes
OpPipelineStage1 → InputParams
val inputParamName: String

name of spark parameter that sets the second input column
name of spark parameter that sets the second input column

Definition Classes
SwUnaryEstimator
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 def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def onGetMetadata(): Unit

Attributes
protected
Definition Classes
OpPipelineStageParams
def onSetInput(): Unit

Attributes
protected
Definition Classes
OpPipelineStageBase
val operationName: String

unique name of the operation this stage performs
unique name of the operation this stage performs

Definition Classes
SwUnaryEstimator → OpPipelineStageBase
final def outputAsArray(out: OutputFeatures): Array[OPFeature]

Definition Classes
OpPipelineStage → OpPipelineStageBase
def outputFeatureUid: String

Attributes
protected[com.salesforce.op]
Definition Classes
OpPipelineStage1 → OpPipelineStage
def outputIsResponse: Boolean

Definition Classes
OpPipelineStage
val outputParamName: String

name of spark parameter that sets the first output column
name of spark parameter that sets the first output column

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

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

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final def set(paramPair: ParamPair[_]): OpEstimatorWrapper.this.type

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

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

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

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

Attributes
protected
Definition Classes
Params
final def setInput(features: InputFeatures): OpEstimatorWrapper.this.type

Definition Classes
OpPipelineStageBase
final def setInputFeatures[S <: OPFeature](features: Array[S]): OpEstimatorWrapper.this.type

Attributes
protected
Definition Classes
InputParams
final def setMetadata(m: Metadata): OpEstimatorWrapper.this.type

Definition Classes
OpPipelineStageParams
def setOutputFeatureName(name: String): OpEstimatorWrapper.this.type

Definition Classes
OpPipelineStage
def setSparkMlStage(stage: Option[E]): OpEstimatorWrapper.this.type

Attributes
protected
Definition Classes
SparkWrapperParams
def setStageSavePath(path: String): OpEstimatorWrapper.this.type

Definition Classes
SparkWrapperParams
final val sparkInputColParamNames: StringArrayParam

Definition Classes
SparkWrapperParams
final val sparkMlStage: SparkStageParam[E]

Definition Classes
SparkWrapperParams
final val sparkOutputColParamNames: StringArrayParam

Definition Classes
SparkWrapperParams
final def stageName: String

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

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
final def transformSchema(schema: StructType): StructType

Definition Classes
OpPipelineStageBase
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
implicit val tti: scala.reflect.api.JavaUniverse.TypeTag[I]

type tag for input
type tag for input

Definition Classes
SwUnaryEstimator
implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[O]

type tag for output
type tag for output

Definition Classes
SwUnaryEstimator → OpPipelineStage1
implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value]

type tag for output value
type tag for output value

Definition Classes
SwUnaryEstimator → OpPipelineStage1
val uid: String

stage uid
stage uid

Definition Classes
SwUnaryEstimator → Identifiable
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 def write: MLWriter

Definition Classes
OpPipelineStageBase → MLWritable

Related Doc: package specific

class OpEstimatorWrapper[I <: FeatureType, O <: FeatureType, E <: Estimator[M], M <: Model[M]] extends SwUnaryEstimator[I, O, M, E]

Instance Constructors

new OpEstimatorWrapper(estimator: E, uid: String = UID[OpEstimatorWrapper[I, O, E, M]])(implicit tti: scala.reflect.api.JavaUniverse.TypeTag[I], tto: scala.reflect.api.JavaUniverse.TypeTag[O], ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value])

Type Members

final type InputFeatures = FeatureLike[I]

final type OutputFeatures = FeatureLike[O]

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 checkInputLength(features: Array[_]): Boolean

def checkSerializable: Try[Unit]

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

def clone(): AnyRef

final def copy(extra: ParamMap): OpEstimatorWrapper.this.type

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

val estimator: E

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

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def finalize(): Unit

def fit(dataset: Dataset[_]): SwUnaryModel[I, O, M]

def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[SwUnaryModel[I, O, M]]

def fit(dataset: Dataset[_], paramMap: ParamMap): SwUnaryModel[I, O, M]

def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): SwUnaryModel[I, O, M]

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

final def getClass(): Class[_]

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

final def getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

final def getInputFeatures(): Array[OPFeature]

final def getInputSchema(): StructType

final def getMetadata(): Metadata

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

def getOutput(): FeatureLike[O]

final def getOutputFeatureName: String

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

def getSparkMlStage(): Option[E]

def getStageSavePath(): Option[String]

final def getTransientFeature(i: Int): Option[TransientFeature]

final def getTransientFeatures(): Array[TransientFeature]

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

def hasParam(paramName: String): Boolean

def hashCode(): Int

final def in1: TransientFeature

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

final def inputAsArray(in: InputFeatures): Array[OPFeature]

val inputParamName: String

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 def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def onGetMetadata(): Unit

def onSetInput(): Unit

val operationName: String

final def outputAsArray(out: OutputFeatures): Array[OPFeature]

def outputFeatureUid: String

def outputIsResponse: Boolean