Here is a link to the picture https://imgur.com/a/9jjoOGB
On Tue, Oct 22, 2019 at 4:13 PM Gilles Sadowski <gillese...@gmail.com> wrote: > Hello. > > Le mar. 22 oct. 2019 à 21:50, Eric Barnhill <ericbarnh...@gmail.com> a > écrit : > > > > I propose the following class structure for > commons-statistics-regression. > > Which? > [Attachment was probably stripped: such should go to a JIRA report.] > > > The interface carried over from commons-math is more of an academic > approach to thinking about regression. For rebooting the library (and I > hinted at this when I wrote the tickets for summer of code) I was hoping to > emulate widespread tools like R and scikit-learn, and consider that > "machine learning" is an increasingly popular use of regression. This > proposed structure creates an interface that is not the same as, but will > be very friendly to, anyone coming from R or scikit-learn, or similar tools > in JavaScript. > > > > There are of course many ways I can see to elaborate this scheme, say > using RegressionResult objects and so forth. But Matrices paired with a > double[], returning a double[] of coefficients or predictions, are likely > to be the most common use cases and should be plenty to get started. > > Commenting perhaps too early (not seeing the proposed design), but we > broadly > discussed that the linear algebra API is not easy to get right, and once > we "get > started", the trend is to be stuck with it for ages (related issues > are among the > oldest unresolved ones in CM). > > > Under the hood I would use the available implementations in commons-math > to get up and running, and worry about improving them later. > > Do you mean port from, or depend on, CM? > > Regards, > Gilles > > > > > Feedback appreciated, > > Eric > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
