Hi. Your experience as a user of "Commons Math" would be most useful to help us craft a better (or, at least, no worse) design for "Commons Statistics". Would you share pointers to actual use-cases?
Thanks, Gilles 2019-07-19 7:03 UTC+02:00, Paul King <paul.king.as...@gmail.com>: > Cool. I'd be keen to try out the API, when you are ready, in my > "Apache Groovy for data science" examples which currently use the > commons math3 classes. > > Cheers, Paul. > > On Fri, Jul 19, 2019 at 9:51 AM Gilles Sadowski <gillese...@gmail.com> > wrote: >> >> Hi. >> >> Le ven. 19 juil. 2019 à 01:45, Paul King <paul.king.as...@gmail.com> a >> écrit : >> > >> > How does this relate to the OLS classes in commons math? >> > https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/stat/regression/OLSMultipleLinearRegression.html >> >> The new "Commons Statistics" component purports to replace the >> functionality >> currently defined in the package "org.apache.commons.math4.stat" of >> "Commons >> Math. >> >> Regards, >> Gilles >> >> > On Fri, Jul 19, 2019 at 8:50 AM Eric Barnhill <ericbarnh...@gmail.com> >> > wrote: >> > > >> > > I suggested the following grammar to aim for in our meeting today with >> > > the >> > > developing OLS module. If you see anything you'd prefer to change >> > > let's >> > > establish it now , if anyone doesn't like it later, it's on me. >> > > >> > > RegressionData data = RegressionDataLoader.of(double[][] y, double[] >> > > x); >> > > Regression ols = new OLSRegression(); >> > > RegressionResults results = ols.regress(data); >> > > betas = results.getBetas() ; >> > > >> > > where: >> > > RegressionData is an interface >> > > RegressionDataLoader is a factory class and of() a (possibly >> > > overloaded) >> > > static method >> > > Regression is an interface, implemented by OLSRegression >> > > RegressionResults is an interface, the specific class returned is >> > > OLSResults which implements it. >> > > betas are the intercept and slopes of the regression model >> > > >> > > I think this preserves abstraction at the levels desired, since we >> > > will >> > > want in future flexibility as to regression type, posslble state >> > > parameters >> > > set on the regression object, and results contents and format. But >> > > also >> > > doesn't take on any unnecessary abstractions. >> > > >> > > Eric --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
