Easyvvuq

New Features

* A website with [documentation](https://easyvvuq.readthedocs.io/) and a basic tutorial
* Support for multiple backend databases (via SQLAlchemy)
* Result storage in database (as opposed to in memory pandas dataframe)
* Restartable campaigns
* Incremental collation of results

Updates

* All distributions now in chaospy compatible conformations
* Varying parameters now specified in sampler rather than campaign

Feature complete version for alpha testing

Incremental development release, aligned with the M9 release of the VECMA Toolkit.

Added to the basic architecture in place for creating UQ workflows since last release:
- Chaospy integration
- Polynomial chaos expansion example
- Initial implementation of stochastic collocation

Initial release, aligned with the M6 release of the VECMA Toolkit.

Basic architecture in place for creating UQ workflows, including elements for:
* reading input defining the parameter space of interest
* `Campaign` object to record runs required for analysis
* `Sampler`s to create runs required for a given analysis workflow
* creating simulation inputs (`Encoder`s)
* reading and interpreting simulation outputs (`Decoder`s)
* collation of output from multiple runs into a pandas dataframe for analysis
* simple statistical analysis