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            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Operating System :: MacOS :: MacOS X",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
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        "description": ".. -*- mode: rst -*-\n\ncoremltools\n===========\n\n`Core ML <http://developer.apple.com/documentation/coreml>`_\nis an Apple framework which allows developers to simply and easily integrate\nmachine learning (ML) models into apps running on Apple devices (including iOS,\nwatchOS, macOS, and tvOS).  Core ML introduces a public file format (.mlmodel)\nfor a broad set of ML methods including deep neural networks (both\nconvolutional and recurrent), tree ensembles with boosting, and generalized\nlinear models. Models in this format can be directly integrated into apps\nthrough Xcode.\n\n:code:`coremltools` is a python package for creating, examining, and testing models in\nthe .mlmodel format.  In particular, it can be used to:\n\n- Convert existing models to .mlmodel format from popular machine learning tools including Keras, Caffe, scikit-learn, libsvm, and XGBoost.\n- Express models in .mlmodel format through a simple API.\n- Make predictions with an .mlmodel (on select platforms for testing purposes).\n\nInstallation\n------------\n\nThe method for installing :code:`coremltools` follows the\n`standard python package installation steps <https://packaging.python.org/installing/>`_.\nOnce you have set up a python environment, run::\n\n    pip install -U coremltools\n\nThe package `documentation <https://apple.github.io/coremltools/>`_ contains\nmore details on how to use coremltools.\n\nDependencies\n------------\n\n:code:`coremltools` has the following dependencies:\n\n- numpy (1.10.0+)\n- protobuf (3.1.0+)\n\nIn addition, it has the following soft dependencies that are only needed when\nyou are converting models of these formats:\n\n- Keras (1.2.2, 2.0.4+) with corresponding Tensorflow version\n- Xgboost (0.7+)\n- scikit-learn (0.17+)\n- libSVM\n\nMore Information\n----------------\n\n- `Core ML framework documentation <http://developer.apple.com/documentation/coreml>`_\n- `Core ML model specification <https://apple.github.io/coremltools/coremlspecification>`_\n- `Machine learning at Apple <https://developer.apple.com/machine-learning>`_\n\nLicense\n-------\nCopyright (c) 2018, Apple Inc. All rights reserved.\n\nUse of this source code is governed by the \n`3-Clause BSD License <https://opensource.org/licenses/BSD-3-Clause>`_\nthat can be found in the LICENSE.txt file.\n",
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