Robert

- Fixing some overfitted models with train and validation R2 0.99-1
- Including the easyROB graphical user interface (GUI)

- Fixing outlier bug for negative t-values
- csv_test is treated separately from the test set from GENERATE
- Table of score thresholds in ROBERT_report.pdf
- Showing predictions at the end of the PREDICT section of ROBERT_report.pdf
- Adding --csv_test to AQME workflows
- Adding the --crest option to AQME workflows
- Auto adjusting the convergence criteria and xTB accuracy of QDESCP based on number
of datapoints

- Changing default split to RND
- Adding the scikit-learn-intelex accelerator (now it's compatible for scikit-learn 1.3)
- Changing the thres_test default value to 0.25 (before: 0.20)
- Automatic KN data splitting for databases with less than 100 datapoints
- Droping 90% and 80% training sizes for small databases (less than 50 and 30 datapoints)
- Better print for command lines (more reproducible commands)
- Adding more information in the --help option
- Introducing SCORE and REPRODUBILITY to ROBERT_report.pdf
- Added the auto_test option
- Fixed empty spaces in heatmaps from GENERATE
- Mantain the ordering of GENERATE heatmaps across No_PFI and PFI
- Added pytest to full workflows with classification and tests
- Fixed " separators in command lines with options that had more than one word (i.e.
--qdescp_keywords)
- Fixed length of outlier names for long words

Hotfix from v1.0.0 without weasyprint and its dependencies in setup.py (there is a weird bug in the conda-forge install if glib is added to pip install)

Preliminary and not functional version of ROBERT