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| author | Patrick Wendell <pwendell@apache.org> | 2015-06-12 00:35:55 +0000 |
|---|---|---|
| committer | Patrick Wendell <pwendell@apache.org> | 2015-06-12 00:35:55 +0000 |
| commit | a12ed5d3ed9315a035f62e1380283dc1bda83a4e (patch) | |
| tree | e3cf5b2eeadf3cc7812a2ff25d0a19622eeffb1a /releases | |
| parent | d7a1866464e4f331eac59211457c07fe0d04bb84 (diff) | |
| download | spark-website-a12ed5d3ed9315a035f62e1380283dc1bda83a4e.tar.gz spark-website-a12ed5d3ed9315a035f62e1380283dc1bda83a4e.tar.bz2 spark-website-a12ed5d3ed9315a035f62e1380283dc1bda83a4e.zip | |
Adding minor contents to release notes
Diffstat (limited to 'releases')
| -rw-r--r-- | releases/_posts/2015-06-11-spark-release-1-4-0.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/releases/_posts/2015-06-11-spark-release-1-4-0.md b/releases/_posts/2015-06-11-spark-release-1-4-0.md index 728df045c..b7c315a35 100644 --- a/releases/_posts/2015-06-11-spark-release-1-4-0.md +++ b/releases/_posts/2015-06-11-spark-release-1-4-0.md @@ -66,7 +66,7 @@ Python coverage. MLlib also adds several new algorithms. * [SPARK-5995](https://issues.apache.org/jira/browse/SPARK-5995): Make ML Prediction Developer APIs public * [SPARK-3066](https://issues.apache.org/jira/browse/SPARK-3066): Support recommendAll in matrix factorization model * [SPARK-4894](https://issues.apache.org/jira/browse/SPARK-4894): Bernoulli naive Bayes - + * [SPARK-5563](https://issues.apache.org/jira/browse/SPARK-5563): LDA with online variational inference to the release note ### Spark Streaming Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis. @@ -91,7 +91,7 @@ This release has few known issues which will be addressed in Spark 1.4.1 #### Test Partners -Thanks to The following organizations, who helped benchmark or integration test release candidates: <br> Intel, Palantir, Cloudera, Mesosphere, Shopify, Netflix, Yahoo, UC Berkeley and Databricks. +Thanks to The following organizations, who helped benchmark or integration test release candidates: <br> Intel, Palantir, Cloudera, Mesosphere, Huawei, Shopify, Netflix, Yahoo, UC Berkeley and Databricks. #### Contributors * Aaron Davidson -- Bug fixes in Core, Shuffle, and YARN |