Preprocessing functions are applied to data in advance of executing the fitter. Typically this is done to prepare the data in some state in advance of fitting.
Preprocessing can be set as a flag in the beginning of the configuration file. As an example :: morpho: do_preprocessing: true
Later in the configuration file, you can set up the commands to pre-process data :: preprocessing: which_pp: - method_name: bootstrapping module_name: resampling input_file_name: ./my_spectrum.root input_tree: input output_file_name: ./my_fit_data.root output_tree: bootstrapped_data option: "RECREATE" number_data: 5000
In the above example, it will randomly sample 5000 data points from the root file "my_spectrum.root" (with tree input) and save it to a new data file called "./my_fit_data.root" with tree name " bootstrapped_data".