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Posted to issues@spark.apache.org by "Alexander Ulanov (JIRA)" <ji...@apache.org> on 2015/06/18 21:10:01 UTC

[jira] [Created] (SPARK-8449) HDF5 read/write support for Spark MLlib

Alexander Ulanov created SPARK-8449:
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             Summary: 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
             Fix For: 1.4.1


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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