Tangram for Elixir

The Tangram Elixir package makes it easy to make predictions with your Tangram machine learning model from Elixir.

Usage

Add the tangram package to your mix.exs.

model = Tangram.load_model_from_path("heart_disease.tangram")

input = %{
  :age => 63.0,
  :gender => "male",
  # ...
}

output = Tangram.predict(model, input)

For more information, read the docs.

Platform Support

Tangram for Elixir is currently supported on Linux, macOS, and Windows with AMD64 CPUs. Are you interested in another platform? Open an issue or send us an email at help@tangram.xyz.

Examples

The source for this package contains two examples, examples/basic.exs and examples/advanced.exs.

Basic

The basic example demonstrates loading a model from a .tangram file and making a prediction.

To run the example:

$ mix run examples/basic.exs

Advanced

The advanced example demonstrates logging predictions and true values to the Tangram app. Before running the example, run tangram app to start the app running locally, open http://localhost:8080 in your browser, and upload the file examples/heart_disease.tangram to it.

To run the example:

$ TANGRAM_URL=http://localhost:8080 mix run examples/advanced.exs

Now if you refresh the production stats or production metrics tabs for the model you uploaded, you should see predictions and true values.

For more information, read the docs.

Notes

  • On Alpine Linux, Tangram for Elixir requires the libgcc library to be installed. It is not installed by default in the Alpine Linux docker image, but will very likely be a dependency of software you are already using. If not, you can run apk add libgcc to install it. We have opened this issue with Rust to hopefully eliminate this requirement in the future.