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Building ML.NET on Linux and macOS

Building

  1. Install the prerequisites (Linux, macOS)
  2. Clone the machine learning repo git clone https://github.com/dotnet/machinelearning.git
  3. Navigate to the machinelearning directory
  4. Run the build script ./build.sh

Calling the script ./build.sh builds both the native and managed code.

For more information about the different options when building, run ./build.sh -? and look at examples in the developer-guide.

Minimum Hardware Requirements

  • 2GB RAM
  • x64

Prerequisites

Linux

The following components are needed:

  • git
  • clang-3.9
  • cmake 2.8.12
  • libunwind8
  • curl
  • All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click here.

For example, for Ubuntu 16.x:

sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55

macOS

macOS 10.12 (Sierra) or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:

  • cmake 3.10.3
  • gcc
  • All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click here.

One way of obtaining CMake and gcc is via Homebrew:

$ brew install cmake
$ brew install gcc