0.1.0-PRE40

• Added optional limit parameter to all Lsh queries. For now I'm leaving it undocumented. I'm not 100% sure it's
  a great idea.

0.1.0-PRE39

• Minor internal change to increase decrease the number of non-candidate doc IDs which are iterated over
  during a query.
• Changed documentation URL from elastiknn.klibisz.com to elastiknn.com.

0.1.0-PRE38

• Fixed docs for running nearest neighbors query on a filtered subset of documents.
  The original suggestion to use a bool query results in evaluating all docs.
  The correct way to do it is to use a standard query with a rescorer.

0.1.0-PRE37

• Fixed null pointer exception which was happening when running queries after deleting some vectors.

0.1.0-PRE36

• Fixed null pointer exception which was happening when running queries after deleting some vectors.

0.1.0-PRE35

• Removed guava dependency from models project.
• Some internal cleanup.

0.1.0-PRE34

• More memory-efficient implementation of Python ElastiknnModel.fit method. Uses an iterator over the vectors instead of a list of the vectors.

0.1.0-PRE33

• Renamed parameter r in L2Lsh mapping to w, which is more appropriate and common for "width".
• Updates and fixes in the Python client based on usage for ann-benchmarks. Mainly adding/fixing data classes in elastiknn.api.

0.1.0-PRE32

• Updated MatchHashesAndScoreQuery so that approximate queries will emit no more than candidates doc IDs.
  This slightly decreases recall, since the previous implementation could emit > candidates IDs.

0.1.0-PRE31

• Support sparse bool query vectors with unsorted true indices.