Changes in version 1.2.0:

NEW FEATURES

    o   speed improvements

NEW FEATURES

    o   ieInit now accepts a SNOW cluster for parallel inserts

NEW FEATURES

    o   allow compounds to be updated in-place by name

NEW FEATURES

    o   eiQuery can now return similarity values instead of distances

Changes in version 1.0.0:

NEW FEATURES

    o   The eiR packages introduces efficient methods for accelerating
	structure similarity searches and clustering of very large compound
	datasets. The acceleration is achieved by applying embedding and
	indexing techniques to represent chemical compounds in a
	high-dimensional Euclidean space and to employ ultra-fast
	pre-screening of the compound dataset using the LSH-assisted
	nearest neighbor search in the embedding space. This method can
	drastically reduce the search time of large databases, by a factor
	of 40–200 fold when searching for the 100 closest compounds to a
	query.