Bug 228012

Summary: [NEW PORT] math/mlpack: fast, flexible machine learning library
Product: Ports & Packages Reporter: robert.ayrapetyan
Component: Individual Port(s)Assignee: Kurt Jaeger <pi>
Status: Closed FIXED    
Severity: Affects Only Me CC: pi
Priority: ---    
Version: Latest   
Hardware: Any   
OS: Any   
Attachments:
Description Flags
init none

Description robert.ayrapetyan 2018-05-06 06:22:00 UTC 
Created attachment 193078 [details]
init

mlpack is a fast, flexible machine learning library, written in C++, that aims
to provide fast, extensible implementations of cutting-edge machine learning
algorithms. mlpack provides these algorithms as simple command-line programs,
Python bindings, and C++ classes which can then be integrated into larger-scale
machine learning solutions.

WWW: http://www.mlpack.com/
Comment 1 Kurt Jaeger freebsd_committer freebsd_triage 2018-05-06 08:13:59 UTC 
testbuilds@work
Comment 2 Kurt Jaeger freebsd_committer freebsd_triage 2018-05-06 08:38:05 UTC 
10.4 needs a newer clang, otherwise it fails to build. Building that takes
some time. Petted a few portlint complaints.
Comment 3 Kurt Jaeger freebsd_committer freebsd_triage 2018-05-06 14:32:22 UTC 
It builds with clang6.

There's an example to use it with python at

http://www.mlpack.org/docs/mlpack-3.0.0/doxygen/python_quickstart.html

which does not work -- any idea how that could be fixed ?
Comment 4 Kurt Jaeger freebsd_committer freebsd_triage 2018-05-06 14:36:09 UTC 
Committed, thanks!
Comment 5 commit-hook freebsd_committer freebsd_triage 2018-05-06 14:36:28 UTC 
A commit references this bug:

Author: pi
Date: Sun May  6 14:35:52 UTC 2018
New revision: 469220
URL: https://svnweb.freebsd.org/changeset/ports/469220

Log:
  New port: math/mlpack

  mlpack is a fast, flexible machine learning library, written in
  C++, that aims to provide fast, extensible implementations of
  cutting-edge machine learning algorithms. mlpack provides these
  algorithms as simple command-line programs, Python bindings, and
  C++ classes which can then be integrated into larger-scale machine
  learning solutions.

  WWW: http://www.mlpack.org/

  PR:		228012
  Submitted by:	robert.ayrapetyan@gmail.com

Changes:
  head/math/Makefile
  head/math/mlpack/
  head/math/mlpack/Makefile
  head/math/mlpack/distinfo
  head/math/mlpack/pkg-descr
  head/math/mlpack/pkg-plist