| dataObject-class | R Documentation | 
The dataObject class is used to resolve the issue of keeping track of pre-processing status and data loading inside complex workflows, e.g. nested predict functions inside a calibration function.
dataNULL or data table containing the data. This is the data which will be read and used.
preprocessing_levelcharacter indicating the level of pre-processing already conducted.
outcome_typecharacter, determines the outcome type.
data_column_infoObject containing column information.
delay_loadinglogical. Allows delayed loading data, which enables data parsing downstream without additional workflow complexity or memory utilisation.
perturb_levelnumeric. This is the perturbation level for data which has not been loaded. Used for data retrieval by interacting with the run table of the accompanying model.
load_validationlogical. This determines which internal data set will be loaded. If TRUE, the validation data will be loaded, whereas FALSE loads the development data.
aggregate_on_loadlogical. Determines whether data is aggregated after loading.
sample_set_on_loadNULL or vector of sample identifiers to be loaded.
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