[DEPRECATED] AnalyticalEngine

/!\ This package is deprecated in favour of MLJ.

Who's behind this

March 2018
- [working prototype] ~~have a basic GeneralizedLinearRegression that works well and showcases the ideas + works with Flux~~
- [WIP] have a basic pipeline JuliaDB -> AnalyticalEngine
- have an interface with DecisionTree.jl
- [WIP] have a way to deal with hyperparameters that works well with meta-learning
August 2018
- have a full pipeline JuliaDB -> FeatEng -> AnalyticalEngine
- have a working framework for metalearning
- have working tools for hyperparameter tuning (BayesianOpt, K-Folds, ...)
Longer term
- In the spirit of MLR we'd like to interface with as many dedicated packages ("solvers") as possible and promote the creation and maintenance of those.
- In a first phase we won't care too much about this, focusing on the general pipeline, hyperparameter management etc but eventually this will become the key focus once we have a strong central API.
- There are a ton of packages implementing / re-implementing specific capabilities, hopefully the API will lead to the merging / concentration of packages solving generic tasks efficiently

Major aims: offer a modern SkLearn-style package that can:
- work efficiently with large databases (via JuliaDB)
- work efficiently with different compute infrastructure (parallel, GPU, ...)
- work with generic optimisation algorithms (via Optim.jl)
- work with auto-diff algorithms (via Flux.jl)
- offer extensible meta-learning
- offer modern and extensible hyperparameter tuning (such as Bayesian opt)
- be extended easily by researchers/users in such a way that the maths matches well with the code