Ubuntu
mlpack package

mlpack 2.0.0-1 source package in Ubuntu

Changelog

mlpack (2.0.0-1) unstable; urgency=medium

  * New upstream version
    - upstream repo moved from SVN to git
  * quilt patches
    - forward port
    - augment spelling patch
  * debian/control
    - bump to libmlpack.so.2
    - build dependency on libboost-serialization-dev
    - remove obsolete field DM-Upload-Allowed
    - canonicalize name as "mlpack" not "MLpack" or "MLPACK", per upstream
  * debian/rules
    - remove hdf5 include directory tweak
    - remove code to prefix binaries with mlpack_, as this is now done upstream
    - dh_install --list-missing
  * debian/*.docs
    - upstream README.txt now README.md
    - document not installing html/*.map and .md5
  * debian/copyright
    - Upstream COPYRIGHT.txt is appropriately formatted, so just copy it
      to debian/copyright, add a debian/* stanza, and add an upstream
      git repo pointer.
  * debian/clean, for some generated include files

 -- Barak A. Pearlmutter <email address hidden>  Mon, 18 Jan 2016 16:22:30 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
mlpack_2.0.0-1.dsc 2.2 KiB 7fd0209a5c615bdf6a6868c414143dbd0592c5b9e4f7e7a008e4dceb8232011a
mlpack_2.0.0.orig.tar.gz 2.4 MiB a81ff298ba4ad7ee37cb9cb05f0551d50b4f5772f1bbe7cd26d5607c92cb4803
mlpack_2.0.0-1.debian.tar.xz 7.6 KiB 2e21dc5b23c8b4f97b3aac6669193eb50e7c41a5fd670787345af9b085c466d9

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Binary packages built by this source

libmlpack-dev: intuitive, fast, scalable C++ machine learning library (development libs)

 This package contains the mlpack Library development files.
 .
 Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++
 machine learning library, meant to be a machine learning analog to
 LAPACK. It aims to implement a wide array of machine learning
 methods and function as a "swiss army knife" for machine learning
 researchers.

libmlpack2: intuitive, fast, scalable C++ machine learning library (runtime library)

 This package contains the mlpack Library runtime files.
 .
 Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++
 machine learning library, meant to be a machine learning analog to
 LAPACK. It aims to implement a wide array of machine learning
 methods and function as a "swiss army knife" for machine learning
 researchers.

libmlpack2-dbgsym: debug symbols for package libmlpack2

 This package contains the mlpack Library runtime files.
 .
 Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++
 machine learning library, meant to be a machine learning analog to
 LAPACK. It aims to implement a wide array of machine learning
 methods and function as a "swiss army knife" for machine learning
 researchers.

mlpack-bin: intuitive, fast, scalable C++ machine learning library (binaries)

 This package contains example binaries using the mlpack Library.
 .
 Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++
 machine learning library, meant to be a machine learning analog to
 LAPACK. It aims to implement a wide array of machine learning
 methods and function as a "swiss army knife" for machine learning
 researchers.

mlpack-bin-dbgsym: debug symbols for package mlpack-bin

 This package contains example binaries using the mlpack Library.
 .
 Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++
 machine learning library, meant to be a machine learning analog to
 LAPACK. It aims to implement a wide array of machine learning
 methods and function as a "swiss army knife" for machine learning
 researchers.

mlpack-doc: intuitive, fast, scalable C++ machine learning library (documentation)

 This package contains documentation for the mlpack Library.
 .
 Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++
 machine learning library, meant to be a machine learning analog to
 LAPACK. It aims to implement a wide array of machine learning
 methods and function as a "swiss army knife" for machine learning
 researchers.