Visualisation des spectres prétraités à l'aide d'une échelle de couleurs continue basée sur les valeurs y
Preprocessing parameters vizualization

- Implementing CV and visualizing the results
- Organization des classes des algos de régression

optimized HDBSCAN with fixed best values & parallelized UMAP & added option for unsupervised UMAP with metadata

created style_model.css in scr/style/

- CSS
- Valsel error
- Add equations to regplot and resid plots

- Add spectra plot and y histogram and kde plot
- Remove Cross validation results

- generate testing folds(index)
- cross validating the model
- compute scoring metrics for each fold
- the global cv scoring metrics
- ycv

Adding Preprocessing to models
Adding selected spectral regions in intervall Pls

set those dataframes as dfX usable in the function

- Updating Evaluation metrics

- Raw and preprocessed spectra visualization
- Histogram for predicted values
- Spectral preprocessing

 - HDBSCAN finish
 - Non clustered samples