Resolve "Add OMP no weight"

Closes #16

See merge request !13

Merge branch '17-adding-new-datasets' of https://gitlab.lis-lab.fr/luc.giffon/bolsonaro into 17-adding-new-datasets

Resolve "Experiment pipeline"

See merge request !16

Merge branch '16-add-omp-no-weight' of https://gitlab.lis-lab.fr/luc.giffon/bolsonaro into 16-add-omp-no-weight

Mistakes have been made

See merge request !14

Resolve "Experiment pipeline"

Closes #12

See merge request !9

Resolve "Correction of multiclass classif"

See merge request !11

Add Paolo's first implementation of this paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2822360/

- Add new results for stage4.

- Add stage4 (results and experiments);
- Do not save model object.

- Add diamonds in experiment scripts and add factorize run_compute_results.sh script;
- Add best params for diamonds dataset.

Add quick working version of diamonds dataset to test that the improvement of OMP are consistent in other regression tasks.

- Remove extracted_forest_sizes_number parameter from compute_results.py and retreive the value instead;
- Add almost all remaining experiment config files of stages 1, 2 and 3;
- Add almost all remaining result plots of stages 1, 2 and 3;
- Add some temporary scripts to run all stages experiments.

- Add command lines example for stage 3;
- Add experiment_id option that is useful sometimes;
- Fix subsets_used param;
- Remove experiment_id in config experiment file names;
- Add config experiment files for stages 2 and 3;
- Add results for stages 2 and 3 (california_housing).

- Fix possible issues for extracted forest sizes computation: around to reduce possible zeroes and remove duplicates;
- Create output experiment stage dir if not exists;
- Add base_score_metric to model raw results class;
- Add best params for lfw_pairs (maybe try with a larger number of random seeds since the score is not that high).

- Remove useless getter in Dataset class.

- Even if hyperparameters file is ignore with skip_best_hyperparams option, still use the same forest_size to be comparable;
- Update experiment files for stage1 wo_param experiments (using the same forest size as the with_params experiments);
- In compute_results: remove useless folder creation; temporary add extracted_forest_sizes_number option to specify the extracted forest sizes number; temporary not plotting train and dev losses in stage1 loss values figure;
- In plotter, clean-up stage1 figure generation;
- Add first unbiased losses plot (stage1: best params vs default params in california housing dataset).