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| author | Xiangrui Meng <meng@databricks.com> | 2014-08-16 15:13:34 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-08-16 15:13:43 -0700 |
| commit | 0b354be2f9ec35547a60591acf4f4773a4869690 (patch) | |
| tree | 9fe18d832faa9b91aa2bc0ac87477f541c396de5 /project | |
| parent | bd3ce2ffb8964abb4d59918ebb2c230fe4614aa2 (diff) | |
| download | spark-0b354be2f9ec35547a60591acf4f4773a4869690.tar.gz spark-0b354be2f9ec35547a60591acf4f4773a4869690.tar.bz2 spark-0b354be2f9ec35547a60591acf4f4773a4869690.zip | |
[SPARK-3048][MLLIB] add LabeledPoint.parse and remove loadStreamingLabeledPoints
Move `parse()` from `LabeledPointParser` to `LabeledPoint` and make it public. This breaks binary compatibility only when a user uses synthesized methods like `tupled` and `curried`, which is rare.
`LabeledPoint.parse` is more consistent with `Vectors.parse`, which is why `LabeledPointParser` is not preferred.
freeman-lab tdas
Author: Xiangrui Meng <meng@databricks.com>
Closes #1952 from mengxr/labelparser and squashes the following commits:
c818fb2 [Xiangrui Meng] merge master
ce20e6f [Xiangrui Meng] update mima excludes
b386b8d [Xiangrui Meng] fix tests
2436b3d [Xiangrui Meng] add parse() to LabeledPoint
(cherry picked from commit 7e70708a99949549adde00cb6246a9582bbc4929)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Diffstat (limited to 'project')
| -rw-r--r-- | project/MimaExcludes.scala | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala index bbe68b29d2..300589394b 100644 --- a/project/MimaExcludes.scala +++ b/project/MimaExcludes.scala @@ -129,6 +129,11 @@ object MimaExcludes { Seq( // new Vector methods in MLlib (binary compatible assuming users do not implement Vector) ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.copy") ) ++ + Seq( // synthetic methods generated in LabeledPoint + ProblemFilters.exclude[MissingTypesProblem]("org.apache.spark.mllib.regression.LabeledPoint$"), + ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.mllib.regression.LabeledPoint.apply"), + ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.regression.LabeledPoint.toString") + ) ++ Seq ( // Scala 2.11 compatibility fix ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.streaming.StreamingContext.<init>$default$2") ) |