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Is there any way to build datasets in memory, using the API, or do I need to write out a file to disk, and read it back in?
I tried creating a dataset using the API, but the methods and constructors of Attribute are not visible, so I can't create a List, so I can't create an Instances object, so I can't create cross-validation folds.
The text was updated successfully, but these errors were encountered:
Yes. Note Attribute is an abstract class, you can't create an instance of it, but you can create a NumericalAttribute or NominalAttribute. Remember to set the class attribute. For cross validations, you can use InstancesSplitter under mltk.core.processor.
Is there any way to build datasets in memory, using the API, or do I need to write out a file to disk, and read it back in?
I tried creating a dataset using the API, but the methods and constructors of Attribute are not visible, so I can't create a List, so I can't create an Instances object, so I can't create cross-validation folds.
The text was updated successfully, but these errors were encountered: