iOS app that predicts the origin of a wine based on some of its chemical properties.

It uses a CoreML model created from a scikit-learn model using a random forest algorithm with the default parameters. You can find the scripts in this gist.

Follow the tutorial at the Pusher blog (not yet published).

• Xcode 9 (Beta 2 at least)

1. Clone this repository and cd into it.
2. Open the project in Xcode 9.
3. In its properties, ensure that the wine.mlmodel file targets the project.
4. Run the project in the simulator.

The following data set was used to create the model:

• http://archive.ics.uci.edu/ml/datasets/Wine

MIT