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Merge remote-tracking branch 'origin/development' into master.
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‎.gitattributes

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# Set default behaviour, in case users don't have core.autocrlf set.
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* text=auto
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# Explicitly declare text files we want to always be normalized and converted
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# to native line endings on checkout.
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# *.c text
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# *.h text
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# Declare files that will always have CRLF line endings on checkout.
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*.sln eol=crlf
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*.bat eol=crlf
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*.svg eol=crlf
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*.csproj eol=crlf
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# Denote all files that are truly binary and should not be modified.
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*.png binary
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*.jpg binary
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# Set default behaviour, in case users don't have core.autocrlf set.
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* binary
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# Explicitly declare text files we want to always be normalized and converted
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# to native line endings on checkout.
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#*.c text
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#*.cpp text
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#*.h text
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# Declare files that will always have CRLF line endings on checkout.
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#*.sln text eol=crlf
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#*.bat text eol=crlf
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#*.svg text eol=crlf
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#*.csproj text eol=crlf
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#*.cs text eol=crlf
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#*.tt text eol=crlf
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#*.xml text=auto
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# Denote all files that are truly binary and should not be modified.
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#*.png binary
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#*.jpg binary
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#*.csv binary
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#*.xls binary
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#*.xlsx binary

‎Copyright.txt

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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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LumenWorks.Framework.IO.CSV.CsvReader - A Fast CSV Reader
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Copyright © Sebastien Lorion, 2005-2011
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All rights reserved.
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MIT license (http://en.wikipedia.org/wiki/MIT_License)
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
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of the Software, and to permit persons to whom the Software is furnished to do
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so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

‎README.txt

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The Accord.NET Framework
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http://accord-framework.net
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The Accord.NET Framework provides machine learning, mathematics, statistics,
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computer vision, computer audition, and several scientific computing related
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methods and techniques to .NET. The project extends the popular AForge.NET
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Framework providing a more complete scientific computing environment.
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The GitHub repository at https://github.com/accord-net/framework is the official
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home of the project after release 2.10 was finished. As such, new releases will
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only be made available on this repository.
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Installing the framework
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------------------------
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0) Download the framework through NuGet:
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https://www.nuget.org/packages?q=accord.net
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or, alternatively, perform a manual install by following
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the steps described below.
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1) Download the AForge.NET Framework 2.2.5 from
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https://code.google.com/p/aforge/downloads/list
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2) Download the Accord.NET Framework from
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https://github.com/accord-net/framework/releases
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3) Install both frameworks as described in the Getting Started Guide
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http://accord-framework.net/get-started.html
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4) If you used the automated installers, the framework binaries
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should already be available in the Add Reference dialog from
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Visual Studio. If you installed using the zip packages, you'll
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need to add references manually to your projects.
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5) Upon installation, several sample applications will be available
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by default at
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C:\Program Files (x86)\Accord.NET\Framework\Samples
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You can open the Samples.sln solution on Visual Studio to check
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the sample applications for examples. Complete documentation is
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also available online at
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http://accord-framework.net/docs/Index.html
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Obtaining support and documentation
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-----------------------------------
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1) Check the reference manual at: http://accord-framework.net/docs/Index.html
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2) Visit the discussion group at: https://groups.google.com/forum/#!forum/accord-net
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The Accord.NET Framework
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http://accord-framework.net
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The Accord.NET Framework provides machine learning, mathematics, statistics,
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computer vision, computer audition, and several scientific computing related
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methods and techniques to .NET. The project extends the popular AForge.NET
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Framework providing a more complete scientific computing environment.
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The GitHub repository at https://github.com/accord-net/framework is the official
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home of the project after release 2.10 was finished. As such, new releases will
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only be made available on this repository.
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Installing the framework
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------------------------
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1) Download the framework through NuGet:
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https://www.nuget.org/packages?q=accord.net
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2) Follow the Getting Started Guide
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http://accord-framework.net/get-started.html
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3) Check the sample applications and find one that is related to what you need.
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http://accord-framework.net/samples.html
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If you have installed the framework using the installer, the samples will be at
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C:\Program Files (x86)\Accord.NET\Framework\Samples
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You can open the Samples.sln solution on Visual Studio and check the sample
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applications for examples. Complete documentation is also available online at
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http://accord-framework.net/docs/Index.html
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Building with Visual Studio
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---------------------------
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1) Clone the repository (SmartGit is the best Git tool available for Windows)
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2) Open Sources/Accord.NET.sln in Visual Studio (works with Express versions)
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Building in Linux with Mono
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---------------------------
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# Install Mono
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sudo apt-get install mono-complete monodevelop monodevelop-nunit
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# Clone the repository
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git clone https://github.com/accord-net/framework.git
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# Enter the directory
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cd framework
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# Build the framework solution using Mono
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mdtool build -c:"NET40" Sources/Accord.NET.Mono.sln
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