class DiffInDiffModel extends Model[DiffInDiffModel] with HasUnitCol with HasTimeCol with Wrappable with ComplexParamsWritable with SynapseMLLogging
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Inherited
- DiffInDiffModel
- SynapseMLLogging
- ComplexParamsWritable
- MLWritable
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- HasTimeCol
- HasUnitCol
- Model
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
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Value Members
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final
def
clear(param: Param[_]): DiffInDiffModel.this.type
- Definition Classes
- Params
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def
copy(extra: ParamMap): DiffInDiffModel
- Definition Classes
- DiffInDiffModel → Model → Transformer → PipelineStage → Params
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def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
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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
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
- def getSummary: DiffInDiffSummary
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def
getTimeCol: String
- Definition Classes
- HasTimeCol
- def getTimeIndex: DataFrame
- def getTimeIndexCol: String
- def getTimeWeights: Option[DataFrame]
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def
getUnitCol: String
- Definition Classes
- HasUnitCol
- def getUnitIndex: DataFrame
- def getUnitIndexCol: String
- def getUnitWeights: Option[DataFrame]
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hasParent: Boolean
- Definition Classes
- Model
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
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
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
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def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[DiffInDiffModel]
- Definition Classes
- Model
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def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
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final
def
set[T](param: Param[T], value: T): DiffInDiffModel.this.type
- Definition Classes
- Params
-
def
setParent(parent: Estimator[DiffInDiffModel]): DiffInDiffModel
- Definition Classes
- Model
-
def
setTimeCol(value: String): DiffInDiffModel.this.type
- Definition Classes
- HasTimeCol
- def setTimeIndex(value: DataFrame): DiffInDiffModel.this.type
- def setTimeIndexCol(value: String): DiffInDiffModel.this.type
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def
setUnitCol(value: String): DiffInDiffModel.this.type
- Definition Classes
- HasUnitCol
- def setUnitIndex(value: DataFrame): DiffInDiffModel.this.type
- def setUnitIndexCol(value: String): DiffInDiffModel.this.type
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final
val
timeCol: Param[String]
- Definition Classes
- HasTimeCol
- final val timeIndex: DataFrameParam
- final val timeIndexCol: Param[String]
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def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
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def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- DiffInDiffModel → Transformer
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
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def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
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def
transformSchema(schema: StructType): StructType
- Definition Classes
- DiffInDiffModel → PipelineStage
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val
uid: String
- Definition Classes
- DiffInDiffModel → SynapseMLLogging → Identifiable
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final
val
unitCol: Param[String]
- Definition Classes
- HasUnitCol
- final val unitIndex: DataFrameParam
- final val unitIndexCol: Param[String]
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def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable