Release MeTA v2.1.0 · meta-toolkit/meta

New features

Add the GloVe algorithm for
training word embeddings and a library class word_embeddings for loading and
querying trained embeddings. To facilitate returning word embeddings, a simple
util::array_view class was added.
Add simple vector math library (and move fastapprox into the math
namespace).

Fix probe_map::extract() for inline_key_value_storage type; old
implementation forgot to delete all sentinel values before returning the
vector.
Fix incorrect definition of l1norm() in sgd_model.
Fix gmap calculation where 0 average precision was ignored
Fix progress output in multiway_merge.

Improve performance of printing::progress. Before, progress::operator() in
tight loops could dramatically hurt performance, particularly due to frequent
calls to std::chrono::steady_clock::now(). Now, progress::operator()
simply sets an atomic iteration counter and a background thread periodically
wakes to update the progress output.
Allow full text storage in index as metadata field. If store-full-text = true (default false) in the corpus config, the string metadata field
"content" will be added. This is to simplify the creation of full text
metadata: the user doesn't have to duplicate their dataset in metadata.dat,
and metadata.dat will still be somewhat human-readable without large strings
of full text added.
Allow make_index to take a user-supplied corpus object.

ZLIB is now a required dependency.
Switch to just using the standalone ./unit-test instead of ctest. There
aren't really many advantages for us to using CTest at this point with the new
unit test framework, so just use our unit test executable.