Github user Yunni commented on a diff in the pull request:
https://github.com/apache/spark/pull/16715#discussion_r100193043
--- Diff: python/pyspark/ml/feature.py ---
@@ -755,6 +951,102 @@ def maxAbs(self):
@inherit_doc
+class MinHashLSH(JavaEstimator, LSHParams, HasInputCol, HasOutputCol,
HasSeed,
+ JavaMLReadable, JavaMLWritable):
+
+ """
+ .. note:: Experimental
+
+ LSH class for Jaccard distance.
+ The input can be dense or sparse vectors, but it is more efficient if
it is sparse.
+ For example, `Vectors.sparse(10, Array[(2, 1.0), (3, 1.0), (5, 1.0)])`
+ means there are 10 elements in the space. This set contains elem 2,
elem 3 and elem 5.
--- End diff --
Done.
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