class IndexToValue extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable with BasicLogging
This class takes in a categorical column with MML style attributes and then transforms it back to the original values. This extends sparkML IndexToString by allowing the transformation back to any types of values.
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- IndexToValue
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- HasOutputCol
- HasInputCol
- Transformer
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final
def
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- 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
- Definition Classes
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lazy val
classNameHelper: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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final
def
clear(param: Param[_]): IndexToValue.this.type
- Definition Classes
- Params
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def
clone(): AnyRef
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- protected[lang]
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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): IndexToValue.this.type
- Definition Classes
- IndexToValue → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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lazy val
copyrightLines: String
- Attributes
- protected
- Definition Classes
- BaseWrappable
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
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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
- Params
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def
finalize(): Unit
- Attributes
- protected[lang]
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
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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
getInputCol: String
- Definition Classes
- HasInputCol
- def getLevelUDF[T](dataset: Dataset[_])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T], ct: ClassTag[T]): UserDefinedFunction
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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def
getOutputCol: String
- Definition Classes
- HasOutputCol
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
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def
hasParam(paramName: String): Boolean
- Definition Classes
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def
hashCode(): Int
- Definition Classes
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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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val
inputCol: Param[String]
The name of the input column
The name of the input column
- Definition Classes
- HasInputCol
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
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def
isTraceEnabled(): Boolean
- Attributes
- protected
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
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def
logBase(methodName: String): Unit
- Attributes
- protected
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- BasicLogging
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def
logClass(): Unit
- Definition Classes
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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
- BasicLogging
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def
logFit[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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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
logPredict[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logTrain[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
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def
logTransform[T](f: ⇒ T): T
- Definition Classes
- BasicLogging
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def
logVerb[T](verb: String, f: ⇒ T): T
- Definition Classes
- BasicLogging
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logWarning(msg: ⇒ String): Unit
- Attributes
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- Logging
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def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
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def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
- Definition Classes
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- Annotations
- @native()
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final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
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val
outputCol: Param[String]
The name of the output column
The name of the output column
- Definition Classes
- HasOutputCol
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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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
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- PythonWrappable
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def
pyExtraEstimatorMethods: String
- Attributes
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- PythonWrappable
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lazy val
pyInheritedClasses: Seq[String]
- Attributes
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- Definition Classes
- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
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lazy val
pyInternalWrapper: Boolean
- Attributes
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- Definition Classes
- PythonWrappable
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lazy val
pyObjectBaseClass: String
- Attributes
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- 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
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lazy val
rInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
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def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
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final
def
set(paramPair: ParamPair[_]): IndexToValue.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): IndexToValue.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): IndexToValue.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): IndexToValue.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): IndexToValue.this.type
- Attributes
- protected
- Definition Classes
- Params
-
def
setInputCol(value: String): IndexToValue.this.type
- Definition Classes
- HasInputCol
-
def
setOutputCol(value: String): IndexToValue.this.type
- Definition Classes
- HasOutputCol
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transform(dataset: Dataset[_]): DataFrame
- dataset
- The input dataset, to be transformed
- returns
The DataFrame that results from column selection
- Definition Classes
- IndexToValue → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- IndexToValue → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- IndexToValue → BasicLogging → Identifiable
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val
ver: String
- Definition Classes
- BasicLogging
-
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()
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def
write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable