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Netflix/vectorflow

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

Original blog posthere.

Build Status

Installation

dub package

The library is distributed as adub package. Addvectorflow to thedependencies section of yourdub.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 toD, keep reading. You will needdub (the D package manager) andLDC (the LLVM-based D compiler).

macOS
brew install dubbrew install ldc
Ubuntu
apt-get install -y curl xz-utilscurl -fsS https://dlang.org/install.sh | bash -s ldcsource ~/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 usesddoc.One way of building and serving the documentation locally (you will needlibevent 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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