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| author | Xiangrui Meng <meng@databricks.com> | 2014-08-11 22:33:45 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-08-11 22:33:45 -0700 |
| commit | 9038d94e1e50e05de00fd51af4fd7b9280481cdc (patch) | |
| tree | 9ea1513ed5cea9d8f758f40678f4e4c37291a224 /project/MimaExcludes.scala | |
| parent | 5d54d71ddbac1fbb26925a8c9138bbb8c0e81db8 (diff) | |
| download | spark-9038d94e1e50e05de00fd51af4fd7b9280481cdc.tar.gz spark-9038d94e1e50e05de00fd51af4fd7b9280481cdc.tar.bz2 spark-9038d94e1e50e05de00fd51af4fd7b9280481cdc.zip | |
[SPARK-2923][MLLIB] Implement some basic BLAS routines
Having some basic BLAS operations implemented in MLlib can help simplify the current implementation and improve some performance.
Tested on my local machine:
~~~
bin/spark-submit --class org.apache.spark.examples.mllib.BinaryClassification \
examples/target/scala-*/spark-examples-*.jar --algorithm LR --regType L2 \
--regParam 1.0 --numIterations 1000 ~/share/data/rcv1.binary/rcv1_train.binary
~~~
1. before: ~1m
2. after: ~30s
CC: jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #1849 from mengxr/ml-blas and squashes the following commits:
ba583a2 [Xiangrui Meng] exclude Vector.copy
a4d7d2f [Xiangrui Meng] Merge branch 'master' into ml-blas
6edeab9 [Xiangrui Meng] address comments
940bdeb [Xiangrui Meng] rename MLlibBLAS to BLAS
c2a38bc [Xiangrui Meng] enhance dot tests
4cfaac4 [Xiangrui Meng] add apache header
48d01d2 [Xiangrui Meng] add tests for zeros and copy
3b882b1 [Xiangrui Meng] use blas.scal in gradient
735eb23 [Xiangrui Meng] remove d from BLAS routines
d2d7d3c [Xiangrui Meng] update gradient and lbfgs
7f78186 [Xiangrui Meng] add zeros to Vectors; add dscal and dcopy to BLAS
14e6645 [Xiangrui Meng] add ddot
cbb8273 [Xiangrui Meng] add daxpy test
07db0bb [Xiangrui Meng] Merge branch 'master' into ml-blas
e8c326d [Xiangrui Meng] axpy
Diffstat (limited to 'project/MimaExcludes.scala')
| -rw-r--r-- | project/MimaExcludes.scala | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/project/MimaExcludes.scala b/project/MimaExcludes.scala index b4653c72c1..6e72035f2c 100644 --- a/project/MimaExcludes.scala +++ b/project/MimaExcludes.scala @@ -111,9 +111,12 @@ object MimaExcludes { ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.MulticlassLabelParser"), ProblemFilters.exclude[MissingClassProblem]("org.apache.spark.mllib.util.MulticlassLabelParser$") ) ++ - Seq ( // package-private classes removed in MLlib + Seq( // package-private classes removed in MLlib ProblemFilters.exclude[MissingMethodProblem]( "org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm.org$apache$spark$mllib$regression$GeneralizedLinearAlgorithm$$prependOne") + ) ++ + Seq( // new Vector methods in MLlib (binary compatible assuming users do not implement Vector) + ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.mllib.linalg.Vector.copy") ) case v if v.startsWith("1.0") => Seq( |