Add new preprocessing techniques

[afraniomelo]

How we are today

Data preprocessing is handled by the PreProcess class, which contains various preprocessing methods such as normalization, removal of NaN observations, and more. These self-contained methods are responsible for preparing raw data to be fed into training models.

Proposed enhancement

BibMon is open to incorporating any preprocessing method that could be beneficial for sequential data. Contributors are encouraged to consult specific bibliographies on the topic to identify valuable techniques, such as https://doi.org/10.1016/j.jer.2024.02.018 or https://doi.org/10.1515/revce-2015-0022.

Implementation

To introduce new preprocessing techniques, developers should implement them as methods of the PreProcess class, adhering to the guidelines provided in the contributing guide.