Metadata-Version: 2.1
Name: coremltools
Version: 5.2.0
Summary: Community Tools for Core ML
Home-page: https://github.com/apple/coremltools
Author: Apple Inc.
Author-email: coremltools@apple.com
License: BSD
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
License-File: LICENSE.txt

coremltools
===========

`Core ML <http://developer.apple.com/documentation/coreml>`_
is an Apple framework that allows developers to easily integrate
machine learning (ML) models into apps. Core ML is available on iOS, iPadOS,
watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel)
for a broad set of ML methods including deep neural networks (convolutional
and recurrent), tree ensembles (boosted trees, random forest, decision trees),
and generalized linear models. Core ML models can be directly integrated into
apps within Xcode.

:code:`coremltools` is a python package for creating, examining, and testing models in
the .mlmodel format. In particular, it can be used to:

- Convert trained models from popular machine learning tools into Core ML format
  (.mlmodel).
- Write models to Core ML format with a simple API.
- Making predictions using the Core ML framework (on select platforms) to
  verify conversion.

More Information
----------------

- `coremltools user guide and examples <https://coremltools.readme.io/>`_
- `Core ML framework documentation <http://developer.apple.com/documentation/coreml>`_
- `Machine learning at Apple <https://developer.apple.com/machine-learning>`_

License
-------
Copyright (c) 2020, Apple Inc. All rights reserved.

Use of this source code is governed by the
`3-Clause BSD License <https://opensource.org/licenses/BSD-3-Clause>`_
that can be found in the LICENSE.txt file.
