class StopWordsRemover extends Transformer with HasInputCol with HasOutputCol with HasInputCols with HasOutputCols with DefaultParamsWritable
A feature transformer that filters out stop words from input.
Since 3.0.0, StopWordsRemover can filter out multiple columns at once by setting the
inputCols parameter. Note that when both the inputCol and inputCols parameters are set,
an Exception will be thrown.
- Annotations
- @Since( "1.5.0" )
- Source
- StopWordsRemover.scala
- Note
- null values from input array are preserved unless adding null to stopWords explicitly. 
- See also
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        val
      
      
        caseSensitive: BooleanParam
      
      
      Whether to do a case sensitive comparison over the stop words. Whether to do a case sensitive comparison over the stop words. Default: false - Annotations
- @Since( "1.5.0" )
 
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        final 
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        clear(param: Param[_]): StopWordsRemover.this.type
      
      
      Clears the user-supplied value for the input param. Clears the user-supplied value for the input param. - Definition Classes
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        def
      
      
        copy(extra: ParamMap): StopWordsRemover
      
      
      Creates a copy of this instance with the same UID and some extra params. Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().- Definition Classes
- StopWordsRemover → Transformer → PipelineStage → Params
- Annotations
- @Since( "1.5.0" )
 
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        def
      
      
        copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T
      
      
      Copies param values from this instance to another instance for params shared by them. Copies param values from this instance to another instance for params shared by them. This handles default Params and explicitly set Params separately. Default Params are copied from and to defaultParamMap, and explicitly set Params are copied from and toparamMap. Warning: This implicitly assumes that this Params instance and the target instance share the same set of default Params.- to
- the target instance, which should work with the same set of default Params as this source instance 
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- extra params to be copied to the target's - paramMap
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- the target instance with param values copied 
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        defaultCopy[T <: Params](extra: ParamMap): T
      
      
      Default implementation of copy with extra params. Default implementation of copy with extra params. It tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance. - Attributes
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        explainParam(param: Param[_]): String
      
      
      Explains a param. Explains a param. - param
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        extractParamMap(): ParamMap
      
      
      extractParamMapwith no extra values.extractParamMapwith no extra values.- Definition Classes
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        extractParamMap(extra: ParamMap): ParamMap
      
      
      Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra. Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values less than user-supplied values less than extra. - Definition Classes
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        getCaseSensitive: Boolean
      
      
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        getInputCol: String
      
      
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        getInputCols: Array[String]
      
      
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        getLocale: String
      
      
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        getOrDefault[T](param: Param[T]): T
      
      
      Gets the value of a param in the embedded param map or its default value. Gets the value of a param in the embedded param map or its default value. Throws an exception if neither is set. - Definition Classes
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        getOutputCol: String
      
      
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        getOutputCols: Array[String]
      
      
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        getParam(paramName: String): Param[Any]
      
      
      Gets a param by its name. Gets a param by its name. - Definition Classes
- Params
 
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        def
      
      
        getStopWords: Array[String]
      
      
      - Annotations
- @Since( "1.5.0" )
 
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        hasDefault[T](param: Param[T]): Boolean
      
      
      Tests whether the input param has a default value set. Tests whether the input param has a default value set. - Definition Classes
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        hasParam(paramName: String): Boolean
      
      
      Tests whether this instance contains a param with a given name. Tests whether this instance contains a param with a given name. - Definition Classes
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        inputCol: Param[String]
      
      
      Param for input column name. Param for input column name. - Definition Classes
- HasInputCol
 
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        inputCols: StringArrayParam
      
      
      Param for input column names. Param for input column names. - Definition Classes
- HasInputCols
 
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      Checks whether a param is explicitly set. Checks whether a param is explicitly set. - Definition Classes
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        isTraceEnabled(): Boolean
      
      
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        val
      
      
        locale: Param[String]
      
      
      Locale of the input for case insensitive matching. Locale of the input for case insensitive matching. Ignored when caseSensitive is true. Default: the string of default locale ( Locale.getDefault), orLocale.USif default locale is not in available locales in JVM.- Annotations
- @Since( "2.4.0" )
 
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        final 
        val
      
      
        outputCol: Param[String]
      
      
      Param for output column name. Param for output column name. - Definition Classes
- HasOutputCol
 
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        final 
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        outputCols: StringArrayParam
      
      
      Param for output column names. Param for output column names. - Definition Classes
- HasOutputCols
 
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        lazy val
      
      
        params: Array[Param[_]]
      
      
      Returns all params sorted by their names. Returns all params sorted by their names. The default implementation uses Java reflection to list all public methods that have no arguments and return Param. - Definition Classes
- Params
- Note
- Developer should not use this method in constructor because we cannot guarantee that this variable gets initialized before other params. 
 
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        def
      
      
        save(path: String): Unit
      
      
      Saves this ML instance to the input path, a shortcut of write.save(path).Saves this ML instance to the input path, a shortcut of write.save(path).- Definition Classes
- MLWritable
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- @Since( "1.6.0" ) @throws( ... )
 
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        final 
        def
      
      
        set(paramPair: ParamPair[_]): StopWordsRemover.this.type
      
      
      Sets a parameter in the embedded param map. Sets a parameter in the embedded param map. - Attributes
- protected
- Definition Classes
- Params
 
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        final 
        def
      
      
        set(param: String, value: Any): StopWordsRemover.this.type
      
      
      Sets a parameter (by name) in the embedded param map. Sets a parameter (by name) in the embedded param map. - Attributes
- protected
- Definition Classes
- Params
 
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        final 
        def
      
      
        set[T](param: Param[T], value: T): StopWordsRemover.this.type
      
      
      Sets a parameter in the embedded param map. Sets a parameter in the embedded param map. - Definition Classes
- Params
 
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        def
      
      
        setCaseSensitive(value: Boolean): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "1.5.0" )
 
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        final 
        def
      
      
        setDefault(paramPairs: ParamPair[_]*): StopWordsRemover.this.type
      
      
      Sets default values for a list of params. Sets default values for a list of params. Note: Java developers should use the single-parameter setDefault. Annotating this with varargs can cause compilation failures due to a Scala compiler bug. See SPARK-9268.- paramPairs
- a list of param pairs that specify params and their default values to set respectively. Make sure that the params are initialized before this method gets called. 
 - Attributes
- protected
- Definition Classes
- Params
 
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        final 
        def
      
      
        setDefault[T](param: Param[T], value: T): StopWordsRemover.this.type
      
      
      Sets a default value for a param. 
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        def
      
      
        setInputCol(value: String): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "1.5.0" )
 
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        def
      
      
        setInputCols(value: Array[String]): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "3.0.0" )
 
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        def
      
      
        setLocale(value: String): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "2.4.0" )
 
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        def
      
      
        setOutputCol(value: String): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "1.5.0" )
 
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        def
      
      
        setOutputCols(value: Array[String]): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "3.0.0" )
 
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        def
      
      
        setStopWords(value: Array[String]): StopWordsRemover.this.type
      
      
      - Annotations
- @Since( "1.5.0" )
 
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        val
      
      
        stopWords: StringArrayParam
      
      
      The words to be filtered out. The words to be filtered out. Default: English stop words - Annotations
- @Since( "1.5.0" )
- See also
- StopWordsRemover.loadDefaultStopWords()
 
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        final 
        def
      
      
        synchronized[T0](arg0: ⇒ T0): T0
      
      
      - Definition Classes
- AnyRef
 
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        def
      
      
        toString(): String
      
      
      - Definition Classes
- StopWordsRemover → Identifiable → AnyRef → Any
- Annotations
- @Since( "3.0.0" )
 
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        def
      
      
        transform(dataset: Dataset[_]): DataFrame
      
      
      Transforms the input dataset. Transforms the input dataset. - Definition Classes
- StopWordsRemover → Transformer
- Annotations
- @Since( "2.0.0" )
 
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        def
      
      
        transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
      
      
      Transforms the dataset with provided parameter map as additional parameters. Transforms the dataset with provided parameter map as additional parameters. - dataset
- input dataset 
- paramMap
- additional parameters, overwrite embedded params 
- returns
- transformed dataset 
 - Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
 
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        def
      
      
        transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
      
      
      Transforms the dataset with optional parameters Transforms the dataset with optional parameters - dataset
- input dataset 
- firstParamPair
- the first param pair, overwrite embedded params 
- otherParamPairs
- other param pairs, overwrite embedded params 
- returns
- transformed dataset 
 - Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
 
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        def
      
      
        transformSchema(schema: StructType): StructType
      
      
      Check transform validity and derive the output schema from the input schema. Check transform validity and derive the output schema from the input schema. We check validity for interactions between parameters during transformSchemaand raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled byParam.validate().Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks. - Definition Classes
- StopWordsRemover → PipelineStage
- Annotations
- @Since( "1.5.0" )
 
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        def
      
      
        transformSchema(schema: StructType, logging: Boolean): StructType
      
      
      :: DeveloperApi :: :: DeveloperApi :: Derives the output schema from the input schema and parameters, optionally with logging. This should be optimistic. If it is unclear whether the schema will be valid, then it should be assumed valid until proven otherwise. - Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
 
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        val
      
      
        uid: String
      
      
      An immutable unique ID for the object and its derivatives. An immutable unique ID for the object and its derivatives. - Definition Classes
- StopWordsRemover → Identifiable
- Annotations
- @Since( "1.5.0" )
 
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        final 
        def
      
      
        wait(): Unit
      
      
      - Definition Classes
- AnyRef
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- @throws( ... )
 
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        final 
        def
      
      
        wait(arg0: Long, arg1: Int): Unit
      
      
      - Definition Classes
- AnyRef
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- @throws( ... )
 
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        final 
        def
      
      
        wait(arg0: Long): Unit
      
      
      - Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
 
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        def
      
      
        write: MLWriter
      
      
      Returns an MLWriterinstance for this ML instance.Returns an MLWriterinstance for this ML instance.- Definition Classes
- DefaultParamsWritable → MLWritable
 
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from HasOutputCols
Inherited from HasInputCols
Inherited from HasOutputCol
Inherited from HasInputCol
Inherited from Transformer
Inherited from PipelineStage
Inherited from Logging
Inherited from Params
Inherited from Serializable
Inherited from Serializable
Inherited from Identifiable
Inherited from AnyRef
Inherited from Any
Parameters
A list of (hyper-)parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters, respectively.