class TextPreprocessor extends Transformer with HasInputCol with HasOutputCol with Wrappable with ComplexParamsWritable with SynapseMLLogging
TextPreprocessor
takes a dataframe and a dictionary
that maps (text -> replacement text), scans each cell in the input col
and replaces all substring matches with the corresponding value.
Priority is given to longer keys and from left to right.
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lazy val
classNameHelper: String
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final
def
clear(param: Param[_]): TextPreprocessor.this.type
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def
clone(): AnyRef
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def
companionModelClassName: String
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def
copy(extra: ParamMap): TextPreprocessor
- Definition Classes
- TextPreprocessor → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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lazy val
copyrightLines: String
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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explainParam(param: Param[_]): String
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explainParams(): String
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def
extractParamMap(): ParamMap
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extractParamMap(extra: ParamMap): ParamMap
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finalize(): Unit
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get[T](param: Param[T]): Option[T]
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def
getDefault[T](param: Param[T]): Option[T]
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def
getInputCol: String
- Definition Classes
- HasInputCol
- def getMap: Map[String, String]
- def getNormFunc: String
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final
def
getOrDefault[T](param: Param[T]): T
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def
getOutputCol: String
- Definition Classes
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def
getParam(paramName: String): Param[Any]
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def
getParamInfo(p: Param[_]): ParamInfo[_]
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
- Attributes
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- SynapseMLLogging
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final
def
hasDefault[T](param: Param[T]): Boolean
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hasParam(paramName: String): Boolean
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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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val
inputCol: Param[String]
The name of the input column
The name of the input column
- Definition Classes
- HasInputCol
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final
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isDefined(param: Param[_]): Boolean
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log: Logger
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def
logBase(info: Map[String, String], featureName: Option[String]): Unit
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def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
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def
logClass(featureName: String): Unit
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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logDebug(msg: ⇒ String): Unit
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logError(msg: ⇒ String, throwable: Throwable): Unit
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def
logErrorBase(methodName: String, e: Exception): Unit
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def
logFit[T](f: ⇒ T, columns: Int): T
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logInfo(msg: ⇒ String, throwable: Throwable): Unit
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logName: String
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logTransform[T](f: ⇒ T, columns: Int): T
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def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
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logWarning(msg: ⇒ String, throwable: Throwable): Unit
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logWarning(msg: ⇒ String): Unit
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def
makePyFile(conf: CodegenConfig): Unit
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def
makeRFile(conf: CodegenConfig): Unit
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- val map: StringStringMapParam
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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- val normFunc: Param[String]
- val normFuncs: Map[String, (Char) ⇒ Char]
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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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[_]]
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def
pyAdditionalMethods: String
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lazy val
pyClassDoc: String
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lazy val
pyClassName: String
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pyExtraEstimatorImports: String
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pyExtraEstimatorMethods: String
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pyInheritedClasses: Seq[String]
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def
pyInitFunc(): String
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lazy val
pyInternalWrapper: Boolean
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lazy val
pyObjectBaseClass: String
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def
pyParamArg[T](p: Param[T]): String
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pyParamDefault[T](p: Param[T]): Option[String]
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def
pyParamGetter(p: Param[_]): String
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pyParamSetter(p: Param[_]): String
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def
pyParamsArgs: String
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def
pyParamsDefaults: String
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lazy val
pyParamsDefinitions: String
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def
pyParamsGetters: String
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def
pyParamsSetters: String
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def
pythonClass(): String
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def
rClass(): String
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def
rDocString: String
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def
rExtraBodyLines: String
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def
rExtraInitLines: String
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lazy val
rFuncName: String
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lazy val
rInternalWrapper: Boolean
- Attributes
- protected
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- RWrappable
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def
rParamArg[T](p: Param[T]): String
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def
rParamsArgs: String
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def
rSetterLines: String
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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[_]): TextPreprocessor.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): TextPreprocessor.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): TextPreprocessor.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): TextPreprocessor.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): TextPreprocessor.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
def
setInputCol(value: String): TextPreprocessor.this.type
- Definition Classes
- HasInputCol
- def setMap(value: Map[String, String]): TextPreprocessor.this.type
- def setNormFunc(value: String): TextPreprocessor.this.type
-
def
setOutputCol(value: String): TextPreprocessor.this.type
- Definition Classes
- HasOutputCol
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
thisStage: Params
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
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
- TextPreprocessor → 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
- TextPreprocessor → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- TextPreprocessor → SynapseMLLogging → Identifiable
-
final
def
wait(): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
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- @throws( ... ) @native()
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable