Apple CoreML example with scikit-learn.
This is a simple example on how to export a Scikit-Learn model (logistic regression in this case) to the CoreML file, load it back and make predictions on it
On this really simple example it seems Apple's format is a bit lighter than a regular pickle:
677B iris.mlmodel
917B iris.pkl
It seeems that the coreml package only supports Python 2.7 for now
I recommend using a virtual env before installing pip requirements
pip install -r requirements.txt
python main.pyThe code should be a working example but it's not fully tested as prediction on CoreML models can only be done on macOS 10.13
The code should raise the following exception Exception: Model prediction is only supported on macOS version 10.13