Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/4504#discussion_r26665203 --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Tokenizer.scala --- @@ -39,3 +39,67 @@ class Tokenizer extends UnaryTransformer[String, Seq[String], Tokenizer] { override protected def outputDataType: DataType = new ArrayType(StringType, false) } + +/** + * :: AlphaComponent :: + * A regex based tokenizer that extracts tokens either by repeatedly matching the regex(default) + * or using it to split the text (set matching to false). Optional parameters also allow to fold + * the text to lowercase prior to it being tokenized and to filer tokens using a minimal length. + * It returns an array of strings that can be empty. + * The default parameters are regex = "\\p{L}+|[^\\p{L}\\s]+", matching = true, + * lowercase = false, minTokenLength = 1 + */ +@AlphaComponent +class RegexTokenizer extends Tokenizer { --- End diff -- This is not necessary at this time. It doesn't affect any user code because we don't expect users to treat tokenizers in a generic way.
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