Repository: spark Updated Branches: refs/heads/master 96c5eeec3 -> 0effe180f
[SPARK-8765] [MLLIB] Fix PySpark PowerIterationClustering test issue PySpark PowerIterationClustering test failure due to bad demo data. If the data is small, PowerIterationClustering will behavior indeterministic. Author: Yanbo Liang <yblia...@gmail.com> Closes #7177 from yanboliang/spark-8765 and squashes the following commits: 392ae54 [Yanbo Liang] fix model.assignments output 5ec3f1e [Yanbo Liang] fix PySpark PowerIterationClustering test issue Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/0effe180 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/0effe180 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/0effe180 Branch: refs/heads/master Commit: 0effe180f4c2cf37af1012b33b43912bdecaf756 Parents: 96c5eee Author: Yanbo Liang <yblia...@gmail.com> Authored: Mon Jul 6 16:15:12 2015 -0700 Committer: Xiangrui Meng <m...@databricks.com> Committed: Mon Jul 6 16:15:12 2015 -0700 ---------------------------------------------------------------------- python/pyspark/mllib/clustering.py | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/0effe180/python/pyspark/mllib/clustering.py ---------------------------------------------------------------------- diff --git a/python/pyspark/mllib/clustering.py b/python/pyspark/mllib/clustering.py index a3eab63..ed4d78a 100644 --- a/python/pyspark/mllib/clustering.py +++ b/python/pyspark/mllib/clustering.py @@ -282,18 +282,30 @@ class PowerIterationClusteringModel(JavaModelWrapper, JavaSaveable, JavaLoader): Model produced by [[PowerIterationClustering]]. - >>> data = [(0, 1, 1.0), (0, 2, 1.0), (1, 3, 1.0), (2, 3, 1.0), - ... (0, 3, 1.0), (1, 2, 1.0), (0, 4, 0.1)] + >>> data = [(0, 1, 1.0), (0, 2, 1.0), (0, 3, 1.0), (1, 2, 1.0), (1, 3, 1.0), + ... (2, 3, 1.0), (3, 4, 0.1), (4, 5, 1.0), (4, 15, 1.0), (5, 6, 1.0), + ... (6, 7, 1.0), (7, 8, 1.0), (8, 9, 1.0), (9, 10, 1.0), (10, 11, 1.0), + ... (11, 12, 1.0), (12, 13, 1.0), (13, 14, 1.0), (14, 15, 1.0)] >>> rdd = sc.parallelize(data, 2) >>> model = PowerIterationClustering.train(rdd, 2, 100) >>> model.k 2 + >>> result = sorted(model.assignments().collect(), key=lambda x: x.id) + >>> result[0].cluster == result[1].cluster == result[2].cluster == result[3].cluster + True + >>> result[4].cluster == result[5].cluster == result[6].cluster == result[7].cluster + True >>> import os, tempfile >>> path = tempfile.mkdtemp() >>> model.save(sc, path) >>> sameModel = PowerIterationClusteringModel.load(sc, path) >>> sameModel.k 2 + >>> result = sorted(model.assignments().collect(), key=lambda x: x.id) + >>> result[0].cluster == result[1].cluster == result[2].cluster == result[3].cluster + True + >>> result[4].cluster == result[5].cluster == result[6].cluster == result[7].cluster + True >>> from shutil import rmtree >>> try: ... rmtree(path) --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
