Pynomaly

Fixed
- [Issue 17](https://github.com/vc1492a/PyNomaly/issues/17) - Fixed
a bug that allowed for a column of empty values in the primary data store.
- Integrated [pull request 18](https://github.com/vc1492a/PyNomaly/pull/18) -
Fixed a bug that was not causing dependencies such as numpy to skip
installation when installing PyNomaly via pip.

Fixed
- [Issue 14](https://github.com/vc1492a/PyNomaly/issues/14) - Fixed an issue
that was causing a ZeroDivisionError when the specified neighborhood size
is larger than the total number of observations in the smallest cluster.

Changed
- This implementation to align more closely with the specification of the
approach in the original paper. The extent parameter now takes an integer
value of 1, 2, or 3 that corresponds to the lambda parameter specified
in the paper. See the [readme](https://github.com/vc1492a/PyNomaly/blob/master/readme.md) for more details.
- Refactored the code base and created the Validate class, which includes
checks for data type, correct specification, and other dependencies.
Added
- Automated tests to ensure the desired functionality is being met can now be
found in the `PyNomaly/tests` directory.
- Code for the examples in the readme can now be found in the `examples` directory.
- Additional information for parameter selection in the [readme](https://github.com/vc1492a/PyNomaly/blob/master/readme.md).

Fixed
- [Issue 10](https://github.com/vc1492a/PyNomaly/issues/10) - Fixed error on line
142 which was causing the class to fail. More explicit examples
were also included in the readme for using numpy arrays.

Added
- An improvement to the Euclidean distance calculation by [MichaelSchreier](https://github.com/MichaelSchreier)
which brings a over a 50% reduction in computation time.

Added
- Added new functionality to PyNomaly by integrating a modified LoOP
approach introduced by Hamlet et al. which can be used for streaming
data applications or in the case where computational expense is a concern.
Data is first fit to a "training set", with any additional observations
considered for outlierness against this initial set.

Fixed
- Fixed an issue which allowed the number of neighbors considered to exceed the number of observations. Added a check
to ensure this is no longer possible.