We can also consider, "Apache SystemDS - A open-source/declarative ML system for the end-to-end data science life cycle" since the word "life cycle" seems redundant.
Still, I am ok with "Apache SystemDS - A open-source ML system for the end-to-end data science life cycle". Thank you, Janardhan On Sat, May 22, 2021 at 4:40 AM Mark Dokter <mdok...@know-center.at> wrote: > Thank you Janardhan, for pointing out the issue that this is > inconsistent in some places. Imho consistency in this regard is a good > thing. Staying with well established terms and not following the trend > du jour is also a good thing. > My vote goes to the already often proposed one (see below). But I am > also not pedantic about *minor* variations like machine learning/ML or > open source/declarative. Where in the latter I slightly lean towards > declarative since open source is kinda obvious if that sentence sands > right below the source on our Github page. > > jm2c, > Mark > > On 5/19/21 6:44 PM, Shafaq Siddiqi wrote: > > +1 for "Apache SystemDS - An open-source ML system for the end-to-end > > data science lifecycle" but it would be nice to have "declarative" > > somewhere to bring DML and ease of programming into reference. > > > > Shafaq Siddiqi > > > > On 5/19/2021 2:58 PM, Matthias Boehm wrote: > >> +1 for : "Apache SystemDS - An open source ML system for the end-to-end > >> data science lifecycle" > >
