Version 0.11.0 (22 Dec 2017)

• The submodule 'standardise' is renamed. The new name is 'preprocessing'.
  The submodule 'standardise' will get deprecated in a next version.
• Deprecation errors were not visible for many users. In this version, the
  errors are better visible.
• Improved and new logs for indexing, comparing and classification.
• Faster comparing of string variables. Thanks Joel Becker.
• Changes make it possible to pickle Compare and Index objects. This makes it
  easier to run code in parallel. Tests were added to ensure that pickling
  remains possible.
• Important change. MultiIndex objects with many record pairs were split into
  pieces to lower memory usage. In this version, this automatic splitting is
  removed. Please split the data yourself.
• Integer indexing. Blog post will follow on this.
• The metrics submodule has changed heavily. This will break with the previous
  version.
• repr() and str() will return informative information for index and compare
  objects.
• It is possible to use abbreviations for string similarity methods. For example
  'jw' for the Jaro-Winkler method.
• The FEBRL dataset loaders can now return the true links as a
  pandas.MultIndex for each FEBRL dataset. This option is disabled by default.
  See the FEBRL datasets for details.
• Fix issue with automatic recognision of license on Github.
• Various small improvements.

Note: In the next release, the Pairs class will get removed. Migrate now.