On Tuesday, 13 September 2016 at 14:14:01 UTC, Ilya Yaroshenko
wrote:
Also you can help Mir in
- 5 second: star the project https://github.com/libmir/mir
- 1 hour+:
- opt1: Write an article or about ndslice or mir.glas [6]
(upcoming BLAS implementation in D)
- opt2: Add small enhancement you want, see also [4]
- opt3: Include new chapter about ndslice and Mir to the
Dlang Tour [7]
- 1 day+: Became an author for a new package, see also [5].
Companies can order numerical, statistical, and data mining
algorithms and services. We work with web and big data.
[1] http://rdcu.be/kiKR - "On Robust Algorithm for Finding
Maximum Likelihood Estimation of the Generalized Inverse
Gaussian Distribution"
[2] https://github.com/9il/atmosphere - library, which contains
the source code for the article
[3] https://github.com/libmir/mir
[4]
https://github.com/libmir/mir/issues?q=is%3Aissue+is%3Aopen+label%3Aenhancement
[5]
https://github.com/libmir/mir/issues?q=is%3Aissue+is%3Aopen+label%3A%22New+Package%22
[6] http://docs.mir.dlang.io/latest/mir_glas_l3.html
[7] http://tour.dlang.org/
Best regards,
Ilya
How stable is Mir? I have recently stripped my library for
embedding R inside D down to the minimum amount and created an R
package to do the installation. Therefore it is trivial to
install and get started on Linux.* I would like to test how it
works to mix R and Mir code. However, I don't want to dig into
that until Mir is in a stable state.
* Also Windows and Mac, but since I don't have either of those
machines, I cannot do any work with them.
