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Netflix / vectorflow Public

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examples
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May 21, 2019
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Jan 21, 2020
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[                    ]
Installation dub package Setting up a D environment macOS Ubuntu
Examples Tests Documentation

README.md

[687474703a2f2f61652e6e666c7]

Vectorflow is a minimalist neural network library optimized for
sparse data and single machine environments.

Original blog post here.

Build Status

 Installation

 dub package

The library is distributed as a dub package. Add vectorflow to the
dependencies section of your dub.json:

"vectorflow": "~>1.0.2"

The library itself doesn't have any dependencies. All you need is a
recent D compiler.

LDC is the recommended compiler for the fastest runtime speed.

Tested on:

  * Linux, OSX
  * LDC version: >= 1.1.1
  * DMD version: >= 2.073.1

 Setting up a D environment

If you're new to D, keep reading. You will need dub (the D package
manager) and LDC (the LLVM-based D compiler).

 macOS

brew install dub
brew install ldc

 Ubuntu

apt-get install -y curl xz-utils
curl -fsS https://dlang.org/install.sh | bash -s ldc
source ~/dlang/ldc-{VERSION}/activate

 Examples

To run the RCV1 example (sparse logistic regression):

cd examples && ./compile_run.sh rcv1.d

 Tests

To run the tests:

dub test

 Documentation

vectorflow uses ddoc. One way of building and serving the
documentation locally (you will need libevent for serving) is:

dub build -b ddox && dub run -b ddox

Or use your favorite DDOC compiler.

Please also refer to the repo wiki.

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  * @rostyboost
  * @CyberShadow
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  * @sghill
  * @thewilsonator
  * @ryanmaclean
  * @GrimMaple

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