[jira] [Closed] (SPARK-13968) Use MurmurHash3 for hashing String features

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley closed SPARK-13968.
-------------------------------------
    Resolution: Duplicate

> Use MurmurHash3 for hashing String features
> -------------------------------------------
>
>                 Key: SPARK-13968
>                 URL: https://issues.apache.org/jira/browse/SPARK-13968
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, MLlib
>            Reporter: Nick Pentreath
>            Assignee: Yanbo Liang
>            Priority: Minor
>
> Typically feature hashing is done on strings, i.e. feature names (or in the case of raw feature indexes, either the string representation of the numerical index can be used, or the index used "as-is" and not hashed).
> It is common to use a well-distributed hash function such as MurmurHash3. This is the case in e.g. [Scikit-learn|http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html#sklearn.feature_extraction.FeatureHasher].
> Currently Spark's {{HashingTF}} uses the object's hash code. Look at using MurmurHash3 (at least for {{String}} which is the common case).



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