abstract class BaseDiffInDiffEstimator extends Estimator[DiffInDiffModel] with DiffInDiffEstimatorParams
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- new BaseDiffInDiffEstimator(uid: String)
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abstract
def
fit(dataset: Dataset[_]): DiffInDiffModel
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- @Since( "2.0.0" )
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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final
def
clear(param: Param[_]): BaseDiffInDiffEstimator.this.type
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def
clone(): AnyRef
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def
copy(extra: ParamMap): Estimator[DiffInDiffModel]
- Definition Classes
- BaseDiffInDiffEstimator → Estimator → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
explainParam(param: Param[_]): String
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def
explainParams(): String
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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def
finalize(): Unit
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def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[DiffInDiffModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], paramMap: ParamMap): DiffInDiffModel
- Definition Classes
- Estimator
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- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DiffInDiffModel
- Definition Classes
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final
def
get[T](param: Param[T]): Option[T]
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final
def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
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def
getOutcomeCol: String
- Definition Classes
- HasOutcomeCol
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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def
getPostTreatmentCol: String
- Definition Classes
- HasPostTreatmentCol
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def
getTreatmentCol: String
- Definition Classes
- HasTreatmentCol
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final
def
hasDefault[T](param: Param[T]): Boolean
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def
hasParam(paramName: String): Boolean
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def
hashCode(): Int
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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final
def
isDefined(param: Param[_]): Boolean
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final
def
isInstanceOf[T0]: Boolean
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final
def
isSet(param: Param[_]): Boolean
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def
isTraceEnabled(): Boolean
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def
log: Logger
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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def
logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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def
logError(msg: ⇒ String): Unit
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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val
outcomeCol: Param[String]
- Definition Classes
- HasOutcomeCol
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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final
val
postTreatmentCol: Param[String]
- Definition Classes
- HasPostTreatmentCol
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final
def
set(paramPair: ParamPair[_]): BaseDiffInDiffEstimator.this.type
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- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): BaseDiffInDiffEstimator.this.type
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final
def
set[T](param: Param[T], value: T): BaseDiffInDiffEstimator.this.type
- Definition Classes
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final
def
setDefault(paramPairs: ParamPair[_]*): BaseDiffInDiffEstimator.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): BaseDiffInDiffEstimator.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
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def
setOutcomeCol(value: String): BaseDiffInDiffEstimator.this.type
Set name of the column which will be used as outcome
Set name of the column which will be used as outcome
- Definition Classes
- HasOutcomeCol
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def
setPostTreatmentCol(value: String): BaseDiffInDiffEstimator.this.type
Set name of the column which tells whether the outcome is measured post treatment.
Set name of the column which tells whether the outcome is measured post treatment.
- Definition Classes
- HasPostTreatmentCol
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def
setTreatmentCol(value: String): BaseDiffInDiffEstimator.this.type
Set name of the column which will be used as treatment
Set name of the column which will be used as treatment
- Definition Classes
- HasTreatmentCol
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
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def
transformSchema(schema: StructType): StructType
- Definition Classes
- BaseDiffInDiffEstimator → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
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val
treatmentCol: Param[String]
- Definition Classes
- HasTreatmentCol
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val
uid: String
- Definition Classes
- BaseDiffInDiffEstimator → Identifiable
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def
validateFieldNumericType(field: StructField): Unit
- Attributes
- protected
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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