Any changes to the `config.yaml` file will be applied automatically and only the relevant files will be updated. This means that after modifying the features list for `PHONE_MESSAGE` for example, RAPIDS will execute the script that computes `MESSAGES` features and update its output file.
You can run RAPIDS over multiple cores by modifying the `-j` argument (e.g. use `-j8` to use 8 cores). **However**, take into account that this means multiple sensor datasets for different participants will be loaded in memory at the same time. If RAPIDS crashes because it ran out of memory reduce the number of cores and try again.
As reference, we have run RAPIDS over 12 cores and 32 Gb of RAM without problems for a study with 200 participants with 14 days of low-frequency smartphone data (no accelerometer, gyroscope, or magnetometer).