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- <h2>MADlib 1.16 Release</h2>
- On July 8, 2019, MADlib completed its sixth release as an Apache Software Foundation Top Level Project.</a>
- <p dir="ltr"></p>
- <p dir="ltr"><b>New features include:</b></p>
- <ul>
- <li><p dir="ltr">Deep learning - Early stage support for Keras with Tensorflow
- backend with GPU acceleration. Focus on image classification
- use cases.</p>
- <li><p dir="ltr">Deep learning utilities - Load model architectures and
- weights, parallel loading of images from NumPy arrays
- or file system, preprocess images for gradient descent
- optimization algorithms.</p>
- <li><p dir="ltr">Greenplum 6 support.</p>
- <li><p dir="ltr">PostgreSQL 11 support.</p>
- </ul>
- <p dir="ltr"><b>Improvements:</b></p>
- <ul>
- <li><p dir="ltr">K-nearest neighbors - Improve performance with kd-tree approximate method.</p>
- <li><p dir="ltr">Association rules - Set default maximum itemset rules to 10 to reduce runtime.</p>
- </ul>
- <p dir="ltr">You are invited to <a href="https://dist.apache.org/repos/dist/release/madlib/1.16/">download the 1.16 release</a> and <a href="https://github.com/apache/madlib/blob/master/RELEASE_NOTES">review the release notes.</a>
- For more details about the new deep learning feature, please refer to the
- <a href="https://cwiki.apache.org/confluence/display/MADLIB/Deep+Learning">Apache MADlib deep learning notes</a> and
- the <a href="https://github.com/apache/madlib-site/tree/asf-site/community-artifacts/Deep-learning">Jupyter notebook examples.</a></p>
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- <h2>MADlib Graduates to Apache Top Level Project</h2>
- On July 19, 2017, the ASF board established Apache MADlib as a Top Level Project, which was approved by unanimous vote of the directors present. Please see the associated <a href="https://globenewswire.com/news-release/2017/08/22/1090924/0/en/The-Apache-Software-Foundation-Announces-Apache-MADlib-as-a-Top-Level-Project.html">press release from the ASF.</a>
- <p dir="ltr"></p>
- <p dir="ltr">MADlib entered incubation in the fall of 2015 and made five releases as an incubating project. Along the way, the MADlib community has worked hard to ensure that the project is being developed according to the principles of the <a href="http://apache.org/foundation/governance/">The Apache Way</a>. We will continue to do so in the future as a TLP, to the best of our ability.</p>
- <p dir="ltr">Thank you to all who have contributed to the project so far, and we look forward more innovation in machine learning in the future as a TLP!</a></p>
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