Deploy a Python Machine Learning Model on your iPhone

Deploy a Python Machine Learning Model on your iPhone

A minimalist guide .Deploy a Python Machine Learning Model on your iPhone

This article describes the shortest path from training a python machine learning model to a proof of concept iOS app you can deploy on an iPhone. The goal is to provide the basic scaffolding while leaving room for further customization suited to one’s specific use case. In the spirit of simplicity, we will overlook some tasks such as model validation and building a fully polished user interface (UI). By the end of this tutorial, you will have a trained model running on iOS that you can showcase as a prototype and load to your device.

Step 1. Set up your environment

First, let’s create a python virtual environment called .core_ml_demo and then install the necessary libraries i.e. pandas scikit-learn and coremltools. From your terminal run:

python3 -m venv ~/.core_ml_demo
source  ~/.core_ml_demo/bin/activate
python3 -m pip install \
pandas==1.1.1 \
scikit-learn==0.19.2 \
coremltools==4.0

Creating a python virtual environment

Next we will install Xcode. Xcode is a development toolkit for Apple products. Note that Xcode is quite large (> 10 Gb). I’d recommend grabbing a cup of coffee or running your install overnight. - Note, this guide uses Xcode Version 12.3 (12C33) on macOS Catalina 10.15.5.

Xcode

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