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A library for maintaining metadata for artifacts.

Project 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

Installing from PyPI

Installing from source

1. Prerequisites

Install Python

Install Bazel

If Bazel is not installed on your system, install it now by following these directions.

Install MySQL

sudo apt-get install default-libmysqlclient-dev

2. Clone ML Metadata repository

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:

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

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:

Dependencies

Compatible versions

Questions

Download files

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Files for ml-metadata, version 0.12.0.dev0
Filename, size File type Python version Upload date Hashes
Filename, size ml_metadata-0.12.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl (21.5 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size ml-metadata-0.12.0.dev0.tar.gz (19.8 kB) File type Source Python version None Upload date Hashes View hashes

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