vectorflow ~master

Minimalist neural network library for sparse data


To use this package, put the following dependency into your project's dependencies section:

dub.json
dub.sdl

<img src="http://ae.nflximg.net/vectorflow/vectorflow_logo.png" width="200">

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": "~>1.0.0"

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.

Authors:
  • Netflix
Dependencies:
none
Versions:
1.0.0 2017-Aug-01
~master 2017-Nov-23
Show all 2 versions
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Score:
2.5
Short URL:
vectorflow.dub.pm