Repository: spark Updated Branches: refs/heads/master 19a453191 -> ebf33a333
[SAPRK-25011][ML] add prefix to __all__ in fpm.py ## What changes were proposed in this pull request? jira: https://issues.apache.org/jira/browse/SPARK-25011 add prefix to __all__ in fpm.py ## How was this patch tested? existing unit test. Author: Yuhao Yang <yuhao.y...@intel.com> Closes #21981 from hhbyyh/prefixall. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/ebf33a33 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/ebf33a33 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/ebf33a33 Branch: refs/heads/master Commit: ebf33a333e9f7ad46f37233eee843e31028a1d62 Parents: 19a4531 Author: Yuhao Yang <yuhao.y...@intel.com> Authored: Fri Aug 3 15:02:41 2018 +0800 Committer: hyukjinkwon <gurwls...@apache.org> Committed: Fri Aug 3 15:02:41 2018 +0800 ---------------------------------------------------------------------- python/pyspark/ml/fpm.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/ebf33a33/python/pyspark/ml/fpm.py ---------------------------------------------------------------------- diff --git a/python/pyspark/ml/fpm.py b/python/pyspark/ml/fpm.py index fd19fd9..f939442 100644 --- a/python/pyspark/ml/fpm.py +++ b/python/pyspark/ml/fpm.py @@ -21,7 +21,7 @@ from pyspark.ml.util import * from pyspark.ml.wrapper import JavaEstimator, JavaModel, JavaParams, _jvm from pyspark.ml.param.shared import * -__all__ = ["FPGrowth", "FPGrowthModel"] +__all__ = ["FPGrowth", "FPGrowthModel", "PrefixSpan"] class HasMinSupport(Params): @@ -313,14 +313,15 @@ class PrefixSpan(JavaParams): def findFrequentSequentialPatterns(self, dataset): """ .. note:: Experimental + Finds the complete set of frequent sequential patterns in the input sequences of itemsets. :param dataset: A dataframe containing a sequence column which is `ArrayType(ArrayType(T))` type, T is the item type for the input dataset. :return: A `DataFrame` that contains columns of sequence and corresponding frequency. The schema of it will be: - - `sequence: ArrayType(ArrayType(T))` (T is the item type) - - `freq: Long` + - `sequence: ArrayType(ArrayType(T))` (T is the item type) + - `freq: Long` >>> from pyspark.ml.fpm import PrefixSpan >>> from pyspark.sql import Row --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
