is an Apple framework which allows developers to simply and easily integrate
machine learning (ML) models into apps running on Apple devices (including iOS,
watchOS, macOS, and tvOS). Core ML introduces a public file format (.mlmodel)
for a broad set of ML methods including deep neural networks (both
convolutional and recurrent), tree ensembles with boosting, and generalized
linear models. Models in this format can be directly integrated into apps
coremltools is a python package for creating, examining, and testing models in
the .mlmodel format. In particular, it can be used to:
Convert existing models to .mlmodel format from popular machine learning tools including Keras, Caffe, scikit-learn, libsvm, and XGBoost.
Express models in .mlmodel format through a simple API.
Make predictions with an .mlmodel (on select platforms for testing purposes).