Initial release
* `doe`: `LHS`, `FullFactorial`, `Random sampling`
* `gp`: Gaussian Process models with 3 regression models (constant, linear quadratic) and 4 correlation models (squared exponential, absolute exponential, matern32, matern52)
* `moe`: Mixture of Experts: find the bests mix of gps given a number of clusters
regarding smooth or hard recombination
* `ego`: Contains egor optimizer which is a super EGO algorithm implemented on top of the previous elements.
It implements several infill strategy: EI, WB2, WB2S and use either COBYLA or SLSQP for internal optimization.