Improve models generation

[HealthyPear]

Requirements

• [x] #76

Summary of expected modifications

• [x] Refactoring of the I/O from protopipe.scripts.build_models to protopipe.mva.io
• [x] Implementation of Random Forest energy regressor
• [x] Inclusion of missing features from CTAMARS related to energy regressor
• [x] Explicit inclusion of all model class attributes from scikit-learn
• [x] Improvement of configuration files to maximize usage
• [x] Final testing
• [x] Update documentation
• [x] BONUS feature: testing via integration tests

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Codecov Report

Merging #96 (d10dac3) into master (166fbe0) will increase coverage by 0.00%. The diff coverage is 77.77%.

@@           Coverage Diff           @@
##           master      #96   +/-   ##
=======================================
  Coverage   48.92%   48.93%           
=======================================
  Files          22       23    +1     
  Lines        2001     2058   +57     
=======================================
+ Hits          979     1007   +28     
- Misses       1022     1051   +29     

Impacted Files	Coverage Δ
protopipe/scripts/write_dl2.py	4.91% <3.84%> (+<0.01%)	:arrow_up:
protopipe/scripts/build_model.py	86.32% <86.30%> (-0.29%)	:arrow_down:
protopipe/mva/utils.py	30.65% <87.50%> (+0.22%)	:arrow_up:
protopipe/mva/__init__.py	100.00% <100.00%> (ø)
protopipe/mva/io.py	100.00% <100.00%> (ø)
protopipe/mva/train_model.py	64.00% <100.00%> (-24.24%)	:arrow_down:
protopipe/scripts/data_training.py	94.87% <100.00%> (+0.27%)	:arrow_up:
protopipe/scripts/tests/test_pipeline.py	100.00% <100.00%> (ø)

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