Smac

* ADD 55: Separate modules for the initial design and a more flexible
constructor for the SMAC class.
* ADD 41: Add ROAR (random online adaptive racing) class.
* ADD 82: Add fmin_smac, a scipy.optimize.fmin_l_bfgs_b-like interface to the
SMAC algorithm.
* NEW documentation at https://automl.github.io/SMAC3/stable and
https://automl.github.io/SMAC3/dev.
* FIX 62: intensification previously used a random seed from np.random
instead of from SMAC's own random number generator.
* FIX 42: class RunHistory can now be pickled.
* FIX 48: stats and runhistory objects are now injected into the target
algorithm execution classes.
* FIX 72: it is now mandatory to either specify a configuration space or to
pass the path to a PCS file.
* FIX 49: allow passing a callable directly to SMAC. SMAC will wrap the
callable with the appropriate target algorithm runner.

* FIX 63 using memory limit for function target algorithms (broken since 0.1.1).

* FIX 58 output of the final statistics.
* FIX 56 using the command line target algorithms (broken since 0.1.1).
* FIX 50 as variance prediction, we use the average predicted variance across
the instances.

* NEW leading ones examples.
* NEW raise exception if unknown parameters are given in the scenario file.
* FIX 17/26/35/37/38/39/40/46.
* CHANGE requirement of ConfigSpace package to 0.2.1.
* CHANGE cutoff default is now None instead of 99999999999.

* Moved to github instead of bitbucket.
* ADD further unit tests.
* CHANGE Stats object instead of static class.
* CHANGE requirement of ConfigSpace package to 0.2.0.
* FIX intensify runs at least two challengers.
* FIX intensify skips incumbent as challenger.
* FIX Function TAE runner passes random seed to target function.
* FIX parsing of emtpy lines in scenario file.

* initial release.