re 1. The pull requests reference the JIRA ticket in this case https://issues.apache.org/jira/browse/SPARK-5133 <https://issues.apache.org/jira/browse/SPARK-5133>. The JIRA says it was released in 1.5.
------------------------------------------------------------------------------- Robin East Spark GraphX in Action Michael Malak and Robin East Manning Publications Co. http://www.manning.com/books/spark-graphx-in-action <http://www.manning.com/books/spark-graphx-in-action> > On 15 Jan 2016, at 16:06, Scott Imig <si...@richrelevance.com> wrote: > > Hello, > > I have a couple of quick questions about this pull request, which adds > feature importance calculations to the random forests in MLLib. > > https://github.com/apache/spark/pull/7838 > <https://github.com/apache/spark/pull/7838> > > 1. Can someone help me determine the Spark version where this is first > available? (1.5.0? 1.5.1?) > > 2. Following the templates in this documentation to construct a > RandomForestModel, should I be able to retrieve model.featureImportances? Or > is there a different pattern for random forests in more recent spark versions? > > https://spark.apache.org/docs/1.2.0/mllib-ensembles.html > <https://spark.apache.org/docs/1.2.0/mllib-ensembles.html> > > Thanks for the help! > Imig > -- > S. Imig | Senior Data Scientist Engineer | richrelevance |m: 425.999.5725 > > I support Bip 101 and BitcoinXT <https://bitcoinxt.software/>.