Happy days! On Thu, Oct 8, 2020 at 7:26 AM Christofer Dutz <christofer.d...@c-ware.de> wrote:
> YAYYY!!! :-) > > Congrats to us all :-) > > Chris > > Am 08.10.20, 16:13 schrieb "Andrew Musselman" <a...@apache.org>: > > The Apache Mahout PMC is pleased to announce the release of Mahout > 14.1. > 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 0.14.0, most in support of refactoring the > build > system. > > To get started with Apache Mahout 14.1, download the release artifacts > and > signatures from https://downloads.apache.org/mahout/14.1/. > > Many thanks to the contributors and committers who were part of this > release. > > > RELEASE HIGHLIGHTS > > The theme of the 14.1 release is a major refactor for simplicity of > usage > and maintenance. Pom structure and components have moved, so please > ask on > the mailing lists for help if anything is not where you expect it. > > > STATS > > A total of 17 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 > > 14.2 > > As the project moves towards a 14.2 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 > > * Runtime probing and optimization of available hardware for caching of > correct/most optimal solver > > * Python bindings for DSL > > > > CONTRIBUTING > > If you are interested in contributing, please see our How to > Contribute [2] > page or contact us via email at dev@mahout.apache.org. > > > 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 Chris Dutz for his 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 ${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(0.13.0%2C%200.13.1%2C%201.0.0) > > > > https://issues.apache.org/jira/browse/MAHOUT-2068?jql=project%20%3D%20MAHOUT%20AND%20issuetype%20in%20(standardIssueTypes()%2C%20subTaskIssueTypes())%20AND%20status%20%3D%20Resolved%20AND%20fixVersion%20in%20(0.14.1%2C%200.14.0) > > [2] https://mahout.apache.org/developers/how-to-contribute > >
