j143-bot commented on issue #729: [DOC] Factorization Machines core module URL: https://github.com/apache/systemml/pull/729#issuecomment-472259507 Hi @Prithviraj Sen <[email protected]> , Since the implementation is in functional form, the script here <https://github.com/apache/systemml/blob/master/scripts/nn/examples/fm-binclass-dummy-data.dml> can be run directly.as a jar file. But, should I create a fm.dml, fm-predict.dml files like the ones in the top-level or modify the already implemented scripts to take in user input on hadoop jar invocation, > SPARK-SUBMIT SYSTEMML.JAR -f FM-BINCLASS.DML -nvargs X=./X k=2 Hi @Niketan Pansare <[email protected]> , I hope that fm script is generated as a class from python api, can you help with how to call fm layer ( link here <https://github.com/apache/systemml/blob/master/scripts/nn/layers/fm.dml> ). Thank you, On Mon, Mar 11, 2019 at 9:50 PM prithvirajsen <[email protected]> wrote: > Hi @j143 <https://github.com/j143> > Looks like a decent intro to factorization machines. Thanks for adding. > Possible improvements could be a section on how to invoke the accompanying > factorization machine script (so that some1 who is not interested in the > theory could get started quickly). Please let me know in case that part of > the documentation is somewhere else. > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <https://github.com/apache/systemml/pull/729#issuecomment-471611889>, or mute > the thread > <https://github.com/notifications/unsubscribe-auth/AshQOVTZkPMwF5VatNgT4hF7D_-BH00wks5vVoJcgaJpZM4SD0wD> > . >
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