HBRL_WCST

Order of Computation

Process raw data

1. b. process_raw_data.ipynb: extract raw data from the Psytoolkit .txt files and then store the data as .pkl files in a dataframe readable structure.
2. a. encode_processed_data.ipynb: encode categorical covariates.

Clean dataset

2. Outlier_removal_dimentionily_reduction.ipynb: remove outliers and stores final dataframes:

   • ../data_objects/final_dataframes/wcst_raw_data.csv
   • ../data_objects/final_dataframes/covariates.csv

3. split subjects into performance groups: groups the data in n contiguous groups.

   • experiment.ipynb: model development - superfluous & omitted.
   • modules.py: extract functions - superfluous & omitted.
   • final_instance.ipynb: final production run.