I know we lost the maintainer for fpgrowth somewhere along the line but it's definitely something I'd love to see carried forward, too.
Sent from my iPhone > On Oct 22, 2014, at 8:09 AM, "Brian Dolan" <buddha...@gmail.com> wrote: > > Sing it, brother! I miss FP Growth as well. Once the Scala bindings are in, > I'm hoping to work up some time series methods. > >> On Oct 21, 2014, at 8:00 PM, Lee S <sle...@gmail.com> wrote: >> >> As a developer, who is facing the library chosen between mahout and mllib, >> I have some idea below. >> Mahout has no any decision tree algorithm. But MLLIB has the components of >> constructing a decision tree algorithm such as gini index, information >> gain. And also I think mahout can add algorithm about frequency pattern >> mining which is very import in feature selection and statistic analysis. >> MLLIB has no frequent mining algorithms. >> p.s Why fpgrowth algorithm is removed in version 0.9? >> >> 2014-10-22 9:12 GMT+08:00 Vibhanshu Prasad <vibhanshugs...@gmail.com>: >> >>> actually spark is available in python also, so users of spark are having an >>> upper hand over users of traditional users of mahout. This is applicable to >>> all the libraries of python (including numpy). >>> >>> On Wed, Oct 22, 2014 at 3:54 AM, Ted Dunning <ted.dunn...@gmail.com> >>> wrote: >>> >>>> On Tue, Oct 21, 2014 at 3:04 PM, Mahesh Balija < >>> balijamahesh....@gmail.com >>>> wrote: >>>> >>>>> I am trying to differentiate between Mahout and Spark, here is the >>> small >>>>> list, >>>>> >>>>> Features Mahout Spark Clustering Y Y Classification Y Y >>> Regression Y >>>>> Y Dimensionality Reduction Y Y Java Y Y Scala N Y Python N Y >>> Numpy N >>>>> Y Hadoop Y Y Text Mining Y N Scala/Spark Bindings Y N/A >>> scalability Y >>>>> Y >>>> >>>> Mahout doesn't actually have strong features for clustering, >>> classification >>>> and regression. Mahout is very strong in recommendations (which you don't >>>> mention) and dimensionality reduction. >>>> >>>> Mahout does support scala in the development version. >>>> >>>> What do you mean by support for Numpy? >
