Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4504#discussion_r26868562
--- 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
+ */
--- End diff --
Please append `: IntParam` to `minTokenLength`. See SPARK-6428. Please also
update other method declarations.
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