GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/10102
[SPARK-11605] [MLlib] ML 1.6 QA: API: Java compatibility, docs
jira: https://issues.apache.org/jira/browse/SPARK-11605
Check Java compatibility for MLlib for this release.
fix:
1. `StreamingTest.registerStream` needs java friendly interface.
2. `GradientBoostedTreesModel.computeInitialPredictionAndError` and
`GradientBoostedTreesModel.updatePredictionError` has java compatibility issue.
Mark them as `developerAPI`.
TBD:
`org.apache.spark.mllib.classification.LogisticRegressionModel`
`public scala.Option<java.lang.Object> getThreshold();` has wrong return
type for Java invocation.
`SVMModel` has the similar issue.
Yet adding a `scala.Option<java.util.Double> getThreshold()` would result
in an overloading error due to the same function signature. And adding a new
function with different name seems to be not necessary. Suggest as no fix.
cc @jkbradley @feynmanliang
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hhbyyh/spark javaAPI
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10102.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 #10102
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commit 5550a9723c391ee2d908059b1a36c6c05b327b78
Author: Yuhao Yang <[email protected]>
Date: 2015-12-02T10:03:18Z
fix some java compatiblity issues
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