public class StopWordsRemover extends Transformer implements HasInputCol, HasOutputCol, HasInputCols, HasOutputCols, DefaultParamsWritable
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.
| Constructor and Description |
|---|
StopWordsRemover() |
StopWordsRemover(String uid) |
| Modifier and Type | Method and Description |
|---|---|
BooleanParam |
caseSensitive()
Whether to do a case sensitive comparison over the stop words.
|
StopWordsRemover |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
boolean |
getCaseSensitive() |
String |
getLocale() |
String[] |
getStopWords() |
Param<String> |
inputCol()
Param for input column name.
|
StringArrayParam |
inputCols()
Param for input column names.
|
static StopWordsRemover |
load(String path) |
static String[] |
loadDefaultStopWords(String language)
Loads the default stop words for the given language.
|
Param<String> |
locale()
Locale of the input for case insensitive matching.
|
Param<String> |
outputCol()
Param for output column name.
|
StringArrayParam |
outputCols()
Param for output column names.
|
static MLReader<T> |
read() |
StopWordsRemover |
setCaseSensitive(boolean value) |
StopWordsRemover |
setInputCol(String value) |
StopWordsRemover |
setInputCols(String[] value) |
StopWordsRemover |
setLocale(String value) |
StopWordsRemover |
setOutputCol(String value) |
StopWordsRemover |
setOutputCols(String[] value) |
StopWordsRemover |
setStopWords(String[] value) |
StringArrayParam |
stopWords()
The words to be filtered out.
|
String |
toString() |
Dataset<Row> |
transform(Dataset<?> dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
Check transform validity and derive the output schema from the input schema.
|
String |
uid()
An immutable unique ID for the object and its derivatives.
|
transform, transform, transformparamsgetInputColgetOutputColgetInputColsgetOutputColsclear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwnwritesave$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitializepublic StopWordsRemover(String uid)
public StopWordsRemover()
public static StopWordsRemover load(String path)
public static String[] loadDefaultStopWords(String language)
language - (undocumented)public static MLReader<T> read()
public final StringArrayParam outputCols()
HasOutputColsoutputCols in interface HasOutputColspublic final StringArrayParam inputCols()
HasInputColsinputCols in interface HasInputColspublic final Param<String> outputCol()
HasOutputColoutputCol in interface HasOutputColpublic final Param<String> inputCol()
HasInputColinputCol in interface HasInputColpublic String uid()
Identifiableuid in interface Identifiablepublic StopWordsRemover setInputCol(String value)
public StopWordsRemover setOutputCol(String value)
public StopWordsRemover setInputCols(String[] value)
public StopWordsRemover setOutputCols(String[] value)
public StringArrayParam stopWords()
StopWordsRemover.loadDefaultStopWords()public StopWordsRemover setStopWords(String[] value)
public String[] getStopWords()
public BooleanParam caseSensitive()
public StopWordsRemover setCaseSensitive(boolean value)
public boolean getCaseSensitive()
public Param<String> locale()
caseSensitive
is true.
Default: the string of default locale (Locale.getDefault), or Locale.US if default locale
is not in available locales in JVM.public StopWordsRemover setLocale(String value)
public String getLocale()
public Dataset<Row> transform(Dataset<?> dataset)
Transformertransform in class Transformerdataset - (undocumented)public StructType transformSchema(StructType schema)
PipelineStage
We check validity for interactions between parameters during transformSchema and
raise an exception if any parameter value is invalid. Parameter value checks which
do not depend on other parameters are handled by Param.validate().
Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
transformSchema in class PipelineStageschema - (undocumented)public StopWordsRemover copy(ParamMap extra)
ParamsdefaultCopy().copy in interface Paramscopy in class Transformerextra - (undocumented)public String toString()
toString in interface IdentifiabletoString in class Object