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author | Xiangrui Meng <meng@databricks.com> | 2015-03-12 16:34:56 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-03-12 16:34:56 -0700 |
commit | a4b27162f2d7cb501f71d818581c8a2471bb7cf6 (patch) | |
tree | 84821bd07967770a50e921dd3fef73c596b0b407 /project/SparkBuild.scala | |
parent | fb4787c9531be5dd9e512e79ff4ff45d24eb370d (diff) | |
download | spark-a4b27162f2d7cb501f71d818581c8a2471bb7cf6.tar.gz spark-a4b27162f2d7cb501f71d818581c8a2471bb7cf6.tar.bz2 spark-a4b27162f2d7cb501f71d818581c8a2471bb7cf6.zip |
[SPARK-4588] ML Attributes
This continues the work in #4460 from srowen . The design doc is published on the JIRA page with some minor changes.
Short description of ML attributes: https://github.com/apache/spark/pull/4925/files?diff=unified#diff-95e7f5060429f189460b44a3f8731a35R24
More details can be found in the design doc.
srowen Could you help review this PR? There are many lines but most of them are boilerplate code.
Author: Xiangrui Meng <meng@databricks.com>
Author: Sean Owen <sowen@cloudera.com>
Closes #4925 from mengxr/SPARK-4588-new and squashes the following commits:
71d1bd0 [Xiangrui Meng] add JavaDoc for package ml.attribute
617be40 [Xiangrui Meng] remove final; rename cardinality to numValues
393ffdc [Xiangrui Meng] forgot to include Java attribute group tests
b1aceef [Xiangrui Meng] more tests
e7ab467 [Xiangrui Meng] update ML attribute impl
7c944da [Sean Owen] Add FeatureType hierarchy and categorical cardinality
2a21d6d [Sean Owen] Initial draft of FeatureAttributes class
Diffstat (limited to 'project/SparkBuild.scala')
-rw-r--r-- | project/SparkBuild.scala | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala index 35e748f26b..4a06b9821b 100644 --- a/project/SparkBuild.scala +++ b/project/SparkBuild.scala @@ -408,7 +408,8 @@ object Unidoc { "mllib.tree.impurity", "mllib.tree.model", "mllib.util", "mllib.evaluation", "mllib.feature", "mllib.random", "mllib.stat.correlation", "mllib.stat.test", "mllib.tree.impl", "mllib.tree.loss", - "ml", "ml.classification", "ml.evaluation", "ml.feature", "ml.param", "ml.tuning" + "ml", "ml.attribute", "ml.classification", "ml.evaluation", "ml.feature", "ml.param", + "ml.tuning" ), "-group", "Spark SQL", packageList("sql.api.java", "sql.api.java.types", "sql.hive.api.java"), "-noqualifier", "java.lang" |