[WIP] OpenMP support for compiled trees

[mwojcikowski]

What's new:

• new argument was introduced n_jobs for better performance model.predict(X, n_jobs=32)
• n_jobs has similar behavior to joblib, i.e. n_jobs=-1 takes all CPUs, n_jobs=-2 leaves one core idle, etc.
• the code is parallelized at samples level, which allows for good scaling, although theoretically you can't do n_jobs > n_samples
• tree-level parallelizm is implemented for smaller sample sizes (< 2 * n_jobs)

Supported platforms:

• Windows
• Mac (GCC supports OpenMP, Xcode clang does not)
• Linux

[codecov-io]

Codecov Report

Merging #26 into master will decrease coverage by 6.22%. The diff coverage is 90.47%.

@@            Coverage Diff             @@
##           master      #26      +/-   ##
==========================================
- Coverage   98.37%   92.15%   -6.23%     
==========================================
  Files           4        4              
  Lines         308      344      +36     
==========================================
+ Hits          303      317      +14     
- Misses          5       27      +22

Impacted Files	Coverage Δ
compiledtrees/compiled.py	92.3% <71.42%> (-4.96%)	:arrow_down:
compiledtrees/code_gen.py	83.92% <83.33%> (-15.13%)	:arrow_down:
compiledtrees/tests/test_compiled.py	98.02% <96.55%> (-0.4%)	:arrow_down:

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