Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/4504#discussion_r26868564 --- 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 UnaryTransformer[String, Seq[String], RegexTokenizer] { + + /** + * param for minimum token length, default is one to avoid returning empty strings + * @group param + */ + val minTokenLength = new IntParam(this, "minLength", "minimum token length", Some(1)) + + /** @group setParam */ + def setMinTokenLength(value: Int) = set(minTokenLength, value) --- End diff -- `: this.type`
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