TabularClassificationSingle

			TabularClassificationSingle(blocks, data)

Learning task for single-label tabular classification. Continuous columns are normalized and missing values are filled, categorical columns are label encoded taking into account any missing values which might be present. The target value is predicted from classes. blocks should be an input and target block (TableRow(...), Label(...)).

			TabularClassificationSingle(classes, tabledata [; catcols, contcols])

Construct learning task with classes to classify into and a TableDataset tabledata. The column names can be passed in or guessed from the data.