Hi, Yann Debray, I think it is great.
Amanda Osvaldo, My first thought is about simplicity and organization, I totaly agree the less effort needed to use it the better. Besides I citing tensorflow as example, my idea is not to bring new data structures, but follow their organization. We would pass the data and a model(function) and let the scilab work. Writing it from scratch we have the freedom to make it the way we want, ofcourse the performance wouldnt match with the best libraries out there. In the other hand using a library we could have much more performance, but some restrictions in the organization and simplicity. I'm open to any approach, because I'm a bit suspect to speak about what the users want/need. :) On Thu, May 18, 2017 at 1:01 PM, Yann Debray <[email protected]> wrote: > Dear Caio, Dhruv and Amanda, > > > > I would like to include my colleague Philippe Saadé to the exchanges on > Machine Learning for Scilab. > > He is an experienced mathematician working with us at ESI Group, and has > an interesting vision on the subject. > > He will be scientific advisor and mentor for a joint internship on Machine > learning starting mid june. > > > > @Philippe Saadé (ESI INENDI) <[email protected]>: Could you > maybe share with us your view on the subject? > > > > We can keep this exchange public if it is alright with you all, since I > believe our success on the subject will depend on our capacity to > centralize and merge our community efforts. > > You can all collaborate on the project on our forge: > > http://forge.scilab.org/index.php/p/machine-learning-toolbox/ > > > > Yours > > Yann @ Scilab > > > > *De : *Amanda Osvaldo <[email protected]> > *Date : *vendredi 28 avril 2017 à 01:03 > *À : *List dedicated to the development of Scilab <[email protected]>, > Yann Debray <[email protected]>, Dhruv Khattar < > [email protected]> > *Objet : *Re: [Scilab-Dev] Machine Learning Toolbox > > > > Hi Caio, sorry for the late. > > > > *I think we should ask ourselves what SciLAB's focus and what audience > are.* > > *I feel a lack of knowing what users of Scilab seek.* > > > > Me, for example, I want to do everything from protyping to running the > script on hundreds of Intel Xeon servers with the least possible effort. > > Even with less effort than it would have if the script were built in > Python. > > > > I am sure that new data structures will expand the use of SciLAB. > > > > But what advantage will this bring to users? > > Python, as example, have already optimized data structures and libraries. > > > > -- Amanda Osvaldo > > > > > > On Wed, 2017-04-26 at 14:32 -0300, Caio Souza wrote: > > Hi, > > > > > > I have been thinking about the usability of the toolbox and independent of > which algorithms we are going to have, would be interesting to have some > simplified structure (like TensorFlow). > > > > Despite it being a lot of work to have such structure, (data, model, cost > function, minimizer), it would make the toolbox easy to use and extend, > having minimum impact to the usability. > > > > IMHO, this is something that should be defined before any coding starts, > and also well explained to the student. > > > > I would like to hear from you what do you think, so we can start a > discussion. > > > > > > Best, > > Caio SOUZA > > _______________________________________________ > > dev mailing list > > [email protected] > > http://lists.scilab.org/mailman/listinfo/dev > >
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