| shape_set | R Documentation | 
Prepare a data.table by:
 transforming numeric variables into factors whenever they take less than thresh unique
variables
 transforming characters using generate_from_character
transforming logical into binary integers
dropping constant columns
 Sending the data.table to set_as_numeric_matrix (when final_form == "numerical_matrix")
will then allow you to get a numerical matrix usable by most Machine Learning Algorithms.
shape_set(data_set, final_form = "data.table", thresh = 10, verbose = TRUE)
| data_set | Matrix, data.frame or data.table | 
| final_form | "data.table" or "numerical_matrix" (default to data.table) | 
| thresh | Threshold such that  a numerical column is transformed into
a factor whenever its number of unique modalities is smaller or equal to
 | 
| verbose | Should the algorithm talk? (logical, default to TRUE) | 
All these changes will happen by reference.
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