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[SPARK-7383][ML] Feature Parity in PySpark for ml.features #5991

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[SPARK-7383][ML] Feature Parity in PySpark for ml.features #5991

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b82bd7c
Parity in PySpark for ml.features
brkyvz May 7, 2015
bd39fd2
remove addition
brkyvz May 7, 2015
b91cb44
addressed comments
brkyvz May 8, 2015
adcca55
add regex tokenizer to __all__
brkyvz May 8, 2015
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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/ml/feature/PolynomialExpansion.scala
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Expand Up @@ -31,7 +31,7 @@ import org.apache.spark.sql.types.DataType
* which is available at [[http://en.wikipedia.org/wiki/Polynomial_expansion]], "In mathematics, an
* expansion of a product of sums expresses it as a sum of products by using the fact that
* multiplication distributes over addition". Take a 2-variable feature vector as an example:
* `(x, y)`, if we want to expand it with degree 2, then we get `(x, y, x * x, x * y, y * y)`.
* `(x, y)`, if we want to expand it with degree 2, then we get `(x, x * x, y, x * y, y * y)`.
*/
@AlphaComponent
class PolynomialExpansion extends UnaryTransformer[Vector, Vector, PolynomialExpansion] {
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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/ml/feature/Tokenizer.scala
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Expand Up @@ -42,7 +42,7 @@ class Tokenizer extends UnaryTransformer[String, Seq[String], Tokenizer] {

/**
* :: AlphaComponent ::
* A regex based tokenizer that extracts tokens either by repeatedly matching the regex(default)
* 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 filtering
* tokens using a minimal length.
* It returns an array of strings that can be empty.
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