Ubuntu
mdp package

mdp 3.3-2 source package in Ubuntu

Changelog

mdp (3.3-2) unstable; urgency=low


  * New upstream git snapshot
    - resolves FTBFS by a workaround of faulty unicode encoding in
      sklearn docstrings (Closes: #768675). The corresponding
      commits in upstream git are the quilt patches:
      changeset_af5294f0b78ea5b20e4c1c23fc55a4bdaa0749c9.diff
      changeset_4fc2b74375701dcabde0e3368841ce31a52c4529.diff
      changeset_324cb9b963a7e9d1bb22b5934eaa9f17974f5b11.diff
    - Documentation fixes. The corresponding commits in upstream
      git are the quilt patches:
      changeset_f4a84b7186289027410abe116f5487f800869be2.diff
      changeset_4d05f0adafcc770277f36d30894a5c6aefe8a58b.diff
      changeset_2b1048b980748366dd6439317fccc99f728056a7.diff
      changeset_17202a65f7608e550c52953ef4026cf8fe623c16.diff
    - Fix inclusion of CSS data in bimdp. The corresponding commit
      in upstream git is the quilt patch:
      changeset_4ec2f2940fda4f4fec9db184dbb1b93053040159.diff
  * debian/rules
   - run tests from within a corresponding tests directory to work around
     new py.test conftest.py autodiscovery features in python-pytest 
     version 2.6.3
  * Upload sponsored by Yaroslav Halchenko

 -- Tiziano Zito <email address hidden>  Wed, 12 Nov 2014 15:53:57 +0100

Upload details

Uploaded by:
Tiziano Zito
Uploaded to:
Sid
Original maintainer:
Tiziano Zito
Architectures:
all
Section:
python
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Vivid: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
mdp_3.3-2.dsc 2.0 KiB fcedc7ff0fa4996f713c35dbdf27cc21c7c7f644fef825b31b361d98bf9f79eb
mdp_3.3.orig.tar.gz 461.6 KiB 210221c96fe1d3b85461c786e3bb0f3a230aa569acb016b8d0c7997068580e0a
mdp_3.3-2.debian.tar.xz 10.7 KiB fc733959c4607a6badb357419842cc7fb7005f8c042582b9a24ef8a2fadbd0cd

Available diffs

No changes file available.

Binary packages built by this source

python-mdp: Modular toolkit for Data Processing

 Python data processing framework for building complex data processing software
 by combining widely used machine learning algorithms into pipelines and
 networks. Implemented algorithms include: Principal Component Analysis (PCA),
 Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent
 Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis,
 Fisher Discriminant Analysis (FDA), and Gaussian Classifiers.
 .
 This package contains MDP for Python 2.

python3-mdp: Modular toolkit for Data Processing

 Python data processing framework for building complex data processing software
 by combining widely used machine learning algorithms into pipelines and
 networks. Implemented algorithms include: Principal Component Analysis (PCA),
 Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent
 Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis,
 Fisher Discriminant Analysis (FDA), and Gaussian Classifiers.
 .
 This package contains MDP for Python 3.