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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:38:04 UTC
[jira] [Resolved] (SPARK-8449) HDF5 read/write support for Spark
MLlib
[ https://issues.apache.org/jira/browse/SPARK-8449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-8449.
---------------------------------
Resolution: Incomplete
> HDF5 read/write support for Spark MLlib
> ---------------------------------------
>
> Key: SPARK-8449
> URL: https://issues.apache.org/jira/browse/SPARK-8449
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.0
> Reporter: Alexander Ulanov
> Priority: Major
> Labels: bulk-closed
> Original Estimate: 96h
> Remaining Estimate: 96h
>
> Add support for reading and writing HDF5 file format to/from LabeledPoint. HDFS and local file system have to be supported. Other Spark formats to be discussed.
> Interface proposal:
> /* path - directory path in any Hadoop-supported file system URI */
> MLUtils.saveAsHDF5(sc: SparkContext, path: String, RDD[LabeledPoint]): Unit
> /* path - file or directory path in any Hadoop-supported file system URI */
> MLUtils.loadHDF5(sc: SparkContext, path: String): RDD[LabeledPoint]
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