Hi everybody, can I made some questions ? First, at all, I really agree that SciLab needs a Machine Learning toolbox. However, I'm pretty critical about Scilab in your limitations.I see very potential in the software but require a reform in your infrastructure.
So, my questions. How large are we talking about the training dataset in scilab ? Even with Tensorflow compatibility if you need to put all the dataset into the RAM I fear the toolbox utility will be very limited. In another words: The toolbox will can handle a 250GB dataset or just a few GBs from a desktop ? Have I read right ? We are talking about to integrate Scilab and tensorflow or scikit-learn ? I think it's a good idea, I just whant to know if I'm interpreting right. Somebody have some idea how to handle this project in a software engineering perspective? Just to ensure the tests and code quality. -- Amanda Osvaldo On Thu, 2017-05-18 at 16:01 +0000, Yann Debray 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): 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 <dhruvk1996 > @gmail.com> > > 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 > > > >
_______________________________________________ dev mailing list [email protected] http://lists.scilab.org/mailman/listinfo/dev
