To be able to work with data in a ML Project, they first need to be loaded. Data can be loaded from a CSV file, XLS file, database, data set or a temporary table. There two ways how to read data in BellaDati ML Studio - row by row or as an stream.
Reading CSV File
Function readCSVFile() is used for loading data from a CSV file. The funcionis defined like this:
readCSVFile(String file, String separator, String escape, int limit, Closure<Object> closure)
Parameters file and separator are mandatory, parameters escape, limit and closure are optional.
aplikovatelné na DB, Dataset, file
readtable - načtení dočasné tabulky - plátná v rámci session
row by row
- cyklus - pro každá řádek se vykoná obsah cyklu
- v každém cyklu se nastaví řádek, hodnoty, názvy sloupů a indexy
stream
-neiteruje se
- použití např s python skripty
Overview
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