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
Release history Release notifications | RSS feed
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Source Distribution
Built Distribution
Hashes for ml_metadata-0.12.0.dev0-cp27-cp27mu-manylinux1_x86_64.whl
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| MD5 | 03bafb4844a3664af9f923afd7103387 |
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| BLAKE2b-256 | 2f14ff102fef742322a677e4e297fe3e64d7bbaa31631c21dd382599fe29178b |
