c
com.microsoft.azure.synapse.ml.causal
SyntheticControlEstimator
Companion object SyntheticControlEstimator
class SyntheticControlEstimator extends BaseDiffInDiffEstimator with SyntheticEstimator with SyntheticEstimatorParams with ComplexParamsWritable with Wrappable
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- SyntheticControlEstimator
- Wrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- ComplexParamsWritable
- MLWritable
- SyntheticEstimatorParams
- HasTol
- HasStepSize
- HasMaxIter
- HasTimeCol
- HasUnitCol
- SyntheticEstimator
- SynapseMLLogging
- BaseDiffInDiffEstimator
- DiffInDiffEstimatorParams
- HasPostTreatmentCol
- HasOutcomeCol
- HasTreatmentCol
- Estimator
- PipelineStage
- Logging
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def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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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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lazy val
classNameHelper: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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final
def
clear(param: Param[_]): SyntheticControlEstimator.this.type
- Definition Classes
- Params
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def
clone(): AnyRef
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- protected[lang]
- Definition Classes
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- @throws( ... ) @native()
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def
companionModelClassName: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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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
- Attributes
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lazy val
copyrightLines: String
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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final
val
epsilon: DoubleParam
- Definition Classes
- SyntheticEstimatorParams
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
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def
explainParams(): String
- Definition Classes
- Params
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final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
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- @throws( classOf[java.lang.Throwable] )
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def
fit(dataset: Dataset[_]): DiffInDiffModel
- Definition Classes
- SyntheticControlEstimator → Estimator
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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
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DiffInDiffModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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final
def
getClass(): Class[_]
- Definition Classes
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- @native()
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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def
getEpsilon: Double
- Definition Classes
- SyntheticEstimatorParams
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def
getHandleMissingOutcome: String
- Definition Classes
- SyntheticEstimatorParams
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def
getLocalSolverThreshold: Long
- Definition Classes
- SyntheticEstimatorParams
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final
def
getMaxIter: Int
- Definition Classes
- HasMaxIter
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def
getNumIterNoChange: Int
- Definition Classes
- SyntheticEstimatorParams
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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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
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
getPostTreatmentCol: String
- Definition Classes
- HasPostTreatmentCol
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final
def
getStepSize: Double
- Definition Classes
- HasStepSize
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def
getTimeCol: String
- Definition Classes
- HasTimeCol
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final
def
getTol: Double
- Definition Classes
- HasTol
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def
getTreatmentCol: String
- Definition Classes
- HasTreatmentCol
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def
getUnitCol: String
- Definition Classes
- HasUnitCol
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final
val
handleMissingOutcome: Param[String]
- Definition Classes
- SyntheticEstimatorParams
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
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def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
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def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
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def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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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.
Param for deciding whether to collect part of data on driver node and solve the constrained least square problems locally on driver.
- Definition Classes
- SyntheticEstimatorParams
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
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def
logBase(info: Map[String, String], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logErrorBase(methodName: String, e: Exception): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
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def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
-
def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
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def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
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implicit
val
matrixEntryEncoder: Encoder[MatrixEntry]
- Definition Classes
- SyntheticEstimator
-
implicit
val
matrixOps: DMatrixOps.type
- Definition Classes
- SyntheticEstimator
-
final
val
maxIter: IntParam
- Definition Classes
- HasMaxIter
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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
- Definition Classes
- SyntheticEstimatorParams
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val
outcomeCol: Param[String]
- Definition Classes
- HasOutcomeCol
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
final
val
postTreatmentCol: Param[String]
- Definition Classes
- HasPostTreatmentCol
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def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
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lazy val
pyClassDoc: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyClassName: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorMethods: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyInheritedClasses: Seq[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
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lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyObjectBaseClass: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamDefault[T](p: Param[T]): Option[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamGetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamSetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsArgs: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsDefaults: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyParamsDefinitions: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsSetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pythonClass(): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
rClass(): String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rDocString: String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rExtraBodyLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rExtraInitLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
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lazy val
rFuncName: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
lazy val
rInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set(paramPair: ParamPair[_]): SyntheticControlEstimator.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): SyntheticControlEstimator.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): SyntheticControlEstimator.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): SyntheticControlEstimator.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): SyntheticControlEstimator.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
def
setEpsilon(value: Double): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setHandleMissingOutcome(value: String): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setLocalSolverThreshold(value: Long): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setMaxIter(value: Int): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setNumIterNoChange(value: Int): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setOutcomeCol(value: String): SyntheticControlEstimator.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
-
def
setPostTreatmentCol(value: String): SyntheticControlEstimator.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
-
def
setStepSize(value: Double): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setTimeCol(value: String): SyntheticControlEstimator.this.type
- Definition Classes
- HasTimeCol
-
def
setTol(value: Double): SyntheticControlEstimator.this.type
- Definition Classes
- SyntheticEstimatorParams
-
def
setTreatmentCol(value: String): SyntheticControlEstimator.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
-
def
setUnitCol(value: String): SyntheticControlEstimator.this.type
- Definition Classes
- HasUnitCol
-
val
stepSize: DoubleParam
- Definition Classes
- HasStepSize
-
val
supportedMissingOutcomes: Array[String]
- Attributes
- protected
- Definition Classes
- SyntheticEstimatorParams
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
thisStage: Params
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
final
val
timeCol: Param[String]
- Definition Classes
- HasTimeCol
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
final
val
tol: DoubleParam
- Definition Classes
- HasTol
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- BaseDiffInDiffEstimator → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
treatmentCol: Param[String]
- Definition Classes
- HasTreatmentCol
-
val
uid: String
- Definition Classes
- SyntheticControlEstimator → SynapseMLLogging → BaseDiffInDiffEstimator → Identifiable
-
final
val
unitCol: Param[String]
- Definition Classes
- HasUnitCol
-
def
validateFieldNumericType(field: StructField): Unit
- Attributes
- protected
- Definition Classes
- BaseDiffInDiffEstimator
-
implicit
val
vectorEntryEncoder: Encoder[VectorEntry]
- Definition Classes
- SyntheticEstimator
-
implicit
val
vectorOps: DVectorOps.type
- Definition Classes
- SyntheticEstimator
-
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()
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable