When importing a CSV file with ~ 50 columns and ~200 rows the "MLDataTable(contentsOf: inputDataPath, options: parsingOptions)" command has issues parsing. Much of the data has "0" in the fields but sporadically there are decimal values. If I have a column where I have say 180 "0"s and the last 20 columns have decimal values the column identifies as an "Int" and lines are dropped during the parsing process.
Is there a way provide Column Type Hints?
Is there a way to force a column type?
Is MLDataTable only looking at a handful of rows and determining the column type?
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Does anyone know how to list several target variables in a regression model? Create ML seems to allow only one target variable.
Is there a different library (other than Create ML) I can import in swift to gain access to multi-target regression model building?