diff options
| author | Feynman Liang <fliang@databricks.com> | 2015-06-28 22:26:07 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-06-28 22:26:07 -0700 |
| commit | 25f574eb9a3cb9b93b7d9194a8ec16e00ce2c036 (patch) | |
| tree | 61d923175d27bee429b50288d0b48c3d800294d4 /python | |
| parent | 00a9d22bd6ef42c1e7d8dd936798b449bb3a9f67 (diff) | |
| download | spark-25f574eb9a3cb9b93b7d9194a8ec16e00ce2c036.tar.gz spark-25f574eb9a3cb9b93b7d9194a8ec16e00ce2c036.tar.bz2 spark-25f574eb9a3cb9b93b7d9194a8ec16e00ce2c036.zip | |
[SPARK-7212] [MLLIB] Add sequence learning flag
Support mining of ordered frequent item sequences.
Author: Feynman Liang <fliang@databricks.com>
Closes #6997 from feynmanliang/fp-sequence and squashes the following commits:
7c14e15 [Feynman Liang] Improve scalatests with R code and Seq
0d3e4b6 [Feynman Liang] Fix python test
ce987cb [Feynman Liang] Backwards compatibility aux constructor
34ef8f2 [Feynman Liang] Fix failing test due to reverse orderering
f04bd50 [Feynman Liang] Naming, add ordered to FreqItemsets, test ordering using Seq
648d4d4 [Feynman Liang] Test case for frequent item sequences
252a36a [Feynman Liang] Add sequence learning flag
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyspark/mllib/fpm.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyspark/mllib/fpm.py b/python/pyspark/mllib/fpm.py index bdc4a132b1..b7f00d6006 100644 --- a/python/pyspark/mllib/fpm.py +++ b/python/pyspark/mllib/fpm.py @@ -39,8 +39,8 @@ class FPGrowthModel(JavaModelWrapper): >>> data = [["a", "b", "c"], ["a", "b", "d", "e"], ["a", "c", "e"], ["a", "c", "f"]] >>> rdd = sc.parallelize(data, 2) >>> model = FPGrowth.train(rdd, 0.6, 2) - >>> sorted(model.freqItemsets().collect()) - [FreqItemset(items=[u'a'], freq=4), FreqItemset(items=[u'c'], freq=3), ... + >>> sorted(model.freqItemsets().collect(), key=lambda x: x.items) + [FreqItemset(items=[u'a'], freq=4), FreqItemset(items=[u'a', u'c'], freq=3), ... """ def freqItemsets(self): |