GitHub user j4munoz opened a pull request:
https://github.com/apache/spark/pull/13895
[MLlib] org.apache.spark.mllib.util.SVMDataGenerator generates
ArrayIndexOutOfBoundsException. I have found the bug and tested the solution.
## What changes were proposed in this pull request?
Just adjust the size of an array in line 58 so it does not cause an
ArrayOutOfBoundsException in line 66.
## How was this patch tested?
Manual tests. I have recompiled the entire project with the fix, it has
been built successfully and I have run the code, also with good results.
line 66: val yD = blas.ddot(trueWeights.length, x, 1, trueWeights, 1) +
rnd.nextGaussian() * 0.1
crashes because trueWeights has length "nfeatures + 1" while "x" has length
"features", and they should have the same length.
To fix this just make trueWeights be the same length as x.
I have recompiled the project with the change and it is working now:
[spark-1.6.1]$ spark-submit --master local[*] --class
org.apache.spark.mllib.util.SVMDataGenerator
mllib/target/spark-mllib_2.11-1.6.1.jar local /home/user/test
And it generates the data successfully now in the specified folder.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/j4munoz/spark patch-2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13895.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #13895
----
commit a5ebe405a4457570b494935550b5fbf0804f6e95
Author: José Antonio <[email protected]>
Date: 2016-06-24T18:58:08Z
[MLlib] org.apache.spark.mllib.util.SVMDataGenerator generates
ArrayIndexOutOfBoundsException. I have found the bug and tested the solution.
line 66: val yD = blas.ddot(trueWeights.length, x, 1, trueWeights, 1) +
rnd.nextGaussian() * 0.1
crashes because trueWeights has length "nfeatures + 1" while "x" has length
"features", and they should have the same length.
To fix this just make trueWeights be the same length as x.
I have recompiled the project with the change and it is working now:
[spark-1.6.1]$ spark-submit --master local[*] --class
org.apache.spark.mllib.util.SVMDataGenerator
mllib/target/spark-mllib_2.11-1.6.1.jar local /home/user/test
And it generates the data successfully now in the specified folder.
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