Vowpal Wabbit recipe (does not include Python or R wrappers yet)

build.sh

#! /bin/sh

export BOOST_ROOT="${PREFIX}/include/boost"
export LDFLAGS="-L${PREFIX}/lib"
export CPPFLAGS="-I${PREFIX}/include"
./autogen.sh --prefix="${PREFIX}" --with-boost-libdir="${PREFIX}/lib"

make -j${CPU_COUNT}
make install

LICENSE

Copyright © Microsoft Corp 2012-2014, Yahoo! Inc. 2007-2012, and many
individual contributors.

All rights reserved.

Redistribution and use in source and binary forms, with or without

modification, are permitted provided that the following conditions are met:

    * Redistributions of source code must retain the above copyright

      notice, this list of conditions and the following disclaimer.

    * Redistributions in binary form must reproduce the above copyright

      notice, this list of conditions and the following disclaimer in the

      documentation and/or other materials provided with the distribution.

    * Neither the name of the Microsoft Corp nor the

      names of its contributors may be used to endorse or promote products

      derived from this software without specific prior written permission.

 

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND

ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED

WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE

DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY

DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES

(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;

LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND

ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT

(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS

SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

meta.yaml

{% set name = "vowpal-wabbit" %}
{% set version = "8.6.1" %}


package:
  name: {{ name|lower }}
  version: {{ version }}


source:
  url: https://github.com/VowpalWabbit/vowpal_wabbit/archive/{{ version }}.tar.gz
  sha256: 452c3e83b73fd67f5e9cfae8bfbaf398cda73dc688186b376e6106c376ec5eb1
  #git_url: https://github.com/VowpalWabbit/vowpal_wabbit
  #git_tag: {{ version }}


build:
  number: 0
  #run_exports:
  #  - zlib
  #  - boost


requirements:
  build:
    #- {{ compiler('c') }}
    #- {{ compiler('cxx') }}
    - gxx_linux-64
    - libstdcxx-ng
    - binutils_linux-64
    - make
  host:
    - zlib
    - boost
  run:
    - zlib
    - boost


test:
  commands:
    - vw --version
    - vw --help


about:
  home: http://hunch.net/~vw/
  license_file: {{ RECIPE_DIR }}/LICENSE
  summary: |
    Vowpal Wabbit is a machine learning system which pushes the frontier of
    machine learning with techniques such as online, hashing, allreduce,
    reductions, learning2search, active, and interactive learning. 
  description: |
    This is a project started at Yahoo! Research and continuing at Microsoft
    Research to design a fast, scalable, useful learning algorithm. VW is the
    essence of speed in machine learning, able to learn from terafeature
    datasets with ease. Via parallel learning, it can exceed the throughput of
    any single machine network interface when doing linear learning, a first
    amongst learning algorithms. 
  doc_url: https://github.com/VowpalWabbit/vowpal_wabbit/wiki
  dev_url: https://github.com/VowpalWabbit/vowpal_wabbit


extra:
  recipe-maintainers:
    - gwerbin