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WIP: Generic importance sampling

Ethan Payne requested to merge (removed):generic_importance_sampling into master

Work for implementing a generic approach to handle importance sampling given the increasing number of use cases. The importance sampling is being included by creating a Resampler sampling class, to which a generic likelihood object can be fed, and an ImportanceSamplingResult object (not sure if this is needed) to store the results and calculate the various metrics associated with the calculation.

Currently includes an example using the examples/core_examples/gaussian_example.py result file.

@colm.talbot @moritz.huebner @isobel.romero-shaw @jonathan.merritt @bruce.edelman

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