Fedora 23 Update: torch-3.1-12.fc23

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Fedora Update Notification
FEDORA-2015-13871
2015-08-27 17:56:49.069415
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Name        : torch
Product     : Fedora 23
Version     : 3.1
Release     : 12.fc23
URL         : http://www.torch.ch/
Summary     : Torch is a simple machine-learning library
Description :
Torch is a simple machine-learning library, among its features you can find:

* A lot of things in gradient machines, that is, machines which could be
  learned with a gradient descent. This includes multi-layered perceptrons,
  radial bas is functions, mixtures of experts, convolutional networks and
  even time-delay neural networks. In fact a lot of "modules" are available
  that you can plug as you want to get what you need.
* Support vector machines, in classification and regression. As fast as the
  old stand-alone program SVMTorch II, but with the powerful environment of
  the library.
* Ensemble models such as bagging or adaboost.
* Non-parametric models such as K-nearest-neighbors, Parzen regression and
  Parzen density estimator.
* Distributions stuff, like Kmeans, Gaussian mixture models, hidden Markov
  models, input-output hidden Markov models, and Bayes classifier.
* Speech recognition tools (Embedded training and large vocabulary decoding).

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Update Information:

torch-3.1-12.fc23  - Use '|' instead of '/' as sed pattern delimiter (Fix
F23FTBFS, RHBZ#1240072) - Add %license. - Move extracting docs and converting to
utf8 into %prep. - Modernize spec.
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References:

[ 1 ] Bug #1240072 - torch: FTBFS in rawhide
        https://bugzilla.redhat.com/show_bug.cgi?id=1240072
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This update can be installed with the "yum" update program. Use
su -c 'yum update torch' at the command line.
For more information, refer to "Managing Software with yum",
available at https://docs.fedoraproject.org/yum/.

All packages are signed with the Fedora Project GPG key.  More details on the
GPG keys used by the Fedora Project can be found at
https://fedoraproject.org/keys
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