Metadata-Version: 2.1
Name: ml-metadata
Version: 0.13.1.dev0
Summary: A library for maintaining metadata for artifacts.
Home-page: https://www.google.com/
Author: Google LLC
Author-email: tensorflow-extended-dev@googlegroups.com
License: Apache 2.0
Download-URL: https://pypi.org/project/ml-metadata
Description: 
        # ML Metadata
        
        *ML Metadata (MLMD)* is a library for recording and retrieving metadata
        associated with ML developer and data scientist workflows.
        
        Caution: ML Metadata may be backwards incompatible before version 1.0.
        
        ## Getting Started
        
        For more background on MLMD and instructions on using it, see the
        [getting started guide](https://github.com/google/ml-metadata/blob/master/g3doc/get_started.md)
        
        ## Installing from PyPI
        
        <!-- TODO: create PyPI repository -->
        <!-- TODO: add instructions for installing from PyPI -->
        
        ## Installing from source
        
        ### 1. Prerequisites
        
        #### Install Python
        
        <!-- TODO: Add instructions for installing Python -->
        
        #### Install Bazel
        
        If Bazel is not installed on your system, install it now by following [these
        directions](https://bazel.build/versions/master/docs/install.html).
        
        #### Install cmake
        If cmake is not installed on your system, install it now by following [these
        directions](https://cmake.org/install/).
        
        ### 2. Clone ML Metadata repository
        
        <!-- TODO: create ML Metadata repository -->
        ```shell
        git clone https://github.com/google/ml-metadata
        cd ml-metadata
        ```
        
        Note that these instructions will install the latest master branch of
        ML Metadata. If you want to install a specific branch (such as a release
        branch), pass `-b <branchname>` to the `git clone` command.
        
        ### 3. Build the pip package
        
        ML Metadata uses Bazel to build the pip package from source:
        
        ```shell
        bazel run -c opt --define grpc_no_ares=true ml_metadata:build_pip_package
        ```
        
        You can find the generated `.whl` file in the `dist` subdirectory.
        
        ### 4. Install the pip package
        
        ```shell
        pip install dist/*.whl
        ```
        
        ## Supported platforms
        
        ML Metadata works on Python 2.7 or Python 3.
        
        ML Metadata is built and tested on the following 64-bit operating systems:
        
        <!-- TODO:  * macOS 10.12.6 (Sierra) or later. -->
        <!-- TODO:  * Ubuntu 14.04 or later. -->
        
        ## Dependencies
        
        <!-- TODO: determine dependencies. -->
        
        ## Compatible versions
        
        <!-- TODO: determine compatible versions. -->
        
        ## Questions
        
        <!-- TODO: setup stackoverflow -->
        
        
Keywords: machine learning metadata tfx
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7,<4
Description-Content-Type: text/markdown
