Release Notes: This release contains over 800 commits since 2.0.0 with a load of bugfixes, new features, and improvements that make Shogun more efficient, robust, and versatile. In particular, there is an initial alpha version of a Perl modular interface, Linear Time MMD on Streaming Data, a new structured output solver, and support for tapkee, a dimension reduction framework.
Release Notes: This release introduced the concept of 'converters', which enables you to construct embeddings of arbitrary features. It also includes a few new dimension reduction techniques and significant performance improvements in the dimensionality reduction toolkit. Other improvements include a significant compilation speed-up, various bugfixes for modular interfaces and algorithms, and improved Cygwin, Mac OS X, and clang++ compatibility. Github Issues is now used for tracking bugs and issues.
Release Notes: This release contains several enhancements, cleanups, and bugfixes. A number of new string kernels and multi-class MKL were implemented. Support for python-dbg was added. Floats are now accepted as input for custom kernels that now can be more than 4GB in size. Python installation uses distutils now. Static linking has been fixed, as well as the sparse linear kernels add_to_normal function.
Release Notes: Chinese documentation was added. StringFileFeatures were implemented, which are string features that don't have to fit in memory (and are dynamically fetched from disk). In addition, one can now load compressed strings (using lzo, gzip, lzma, or bzip2 compression) that are decompressed only on access using the Decompress preprocessor. Many configure issues and problems with custom kernels and svmlight-regression should be fixed.