I’m very happy to hear this news~ On Thu, Mar 7, 2019 at 10:25 Andrew Musselman <[email protected]> wrote:
> The Apache Mahout PMC is pleased to announce the release of Mahout 0.14.0. > Mahout's goal is to create an environment for quickly creating > machine-learning applications that scale and run on the highest-performance > parallel computation engines available. Mahout comprises an interactive > environment and library that support generalized scalable linear algebra > and include many modern machine-learning algorithms. This release ships > some major changes from 0.13.0, most in support of simplicity and tidiness. > > To get started with Apache Mahout 0.14.0, download the release artifacts > and signatures from http://www.apache.org/dist/mahout/0.14.0. > > Many thanks to the contributors and committers who were part of this > release. > > > RELEASE HIGHLIGHTS > > The theme of the 0.14.0 release is a major refactor for simplicity of usage > and maintenance. Non-core items have been moved to the new “community” > module, and a new “experimental” area has been created for cutting-edge > work that may require user tuning for specific hardware configurations. > > > STATS > > A total of 15 separate JIRA issues are addressed in this release [1]. > > > GETTING STARTED > > Download the release artifacts and signatures at > https://mahout.apache.org/general/downloads.html. The examples directory > contains several working examples of the core functionality available in > Mahout. These can be run via scripts in the examples/bin directory. Most > examples do not need a Hadoop cluster in order to run. > > > FUTURE PLANS > > 0.14.1 > > As the project moves towards a 0.14.1 release, we are working on the > following: > > * Further Native Integration for increased speedups > > * JCuda backing for In-core Matrices and CUDA solvers > > * Enumeration across multiple GPUs per JVM instance on a given instance > > * GPU/OpenMP Acceleration for linear solvers > > * Further integration with other libraries such as MLLib and SparkML > > * Incorporate more statistical operations > > * Runtime probing and optimization of available hardware for caching of > correct/most optimal solver > > > CONTRIBUTING > > If you are interested in contributing, please see our How to Contribute [2] > page or contact us via email at [email protected]. > > > CREDITS > > As with every release, we wish to thank all of the users and contributors > to Mahout. Please see the JIRA Release Notes [1] for individual credits. > Big thanks to Trevor Grant for a large effort on the refactoring and > cleanup in this release. > > > KNOWN ISSUES: > > * The classify-wikipedia.sh example has an outdated link to the data files. > A workaround is to change the download section of the script to: `curl > > https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles10.xml-p002336425p003046511.bz2 > -o > <https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles10.xml-p002336425p003046511.bz2-o> > ${WORK_DIR}/wikixml/enwiki-latest-pages-articles.xml.bz2` > > * Currently GPU acceleration for supported operations is limited to a > single JVM instance > > * Occasional segfault with certain GPU models and computations > > * On older GPUs some tests fail when building ViennaCL due to card > limitations > > * Currently automatic probing of a system’s hardware happens at each > supported operation, adding some overhead > > * Currently the example in the main README errors out due to a packaging > error; we will be fixing this in the next point release > > > > [1] > > https://issues.apache.org/jira/issues/?jql=project%20%3D%20MAHOUT%20AND%20issuetype%20in%20(standardIssueTypes()%2C%20subTaskIssueTypes())%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20in%20(0.14.0) > < > https://issues.apache.org/jira/issues/?jql=project%20%3D%20MAHOUT%20AND%20issuetype%20in%20(standardIssueTypes()%2C%20subTaskIssueTypes())%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20in%20(0.13.0%2C%200.13.1%2C%201.0.0) > > > > [2] https://mahout.apache.org/developers/how-to-contribute >
