Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8102#discussion_r37350798
--- Diff: python/pyspark/ml/feature.py ---
@@ -950,6 +950,92 @@ class VectorIndexerModel(JavaModel):
@inherit_doc
+class VectorSlicer(JavaTransformer, HasInputCol, HasOutputCol):
+ """
+ .. note:: Experimental
+
+ This class takes a feature vector and outputs a new feature vector
with a subarray
+ of the original features.
+
+ The subset of features can be specified with either indices
(`setIndices()`)
+ or names (`setNames()`). At least one feature must be selected.
Duplicate features
+ are not allowed, so there can be no overlap between selected indices
and names.
+
+ The output vector will order features with the selected indices first
(in the order given),
+ followed by the selected names (in the order given).
+
+ >>> from pyspark.mllib.linalg import Vectors
+ >>> df = sqlContext.createDataFrame([
+ ... (Vectors.dense([-2.0, 2.3, 0.0, 0.0, 1.0]),),
+ ... (Vectors.dense([0.0, 0.0, 0.0, 0.0, 0.0]),),
+ ... (Vectors.dense([0.6, -1.1, -3.0, 4.5, 3.3]),)], ["features"])
+ >>> vs = VectorSlicer(inputCol="features", outputCol="expected",
indices=[1, 4])
--- End diff --
Rename "expected" to "sliced" since this is an example
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