Perhaps new class might NOT be necessary, if we let MLDataset.dtype be array of numpy.dtypes corresponding to each feature, and indicate it during init?
Or we can define a MixedDataset class which takes care of all the init and cfg, and makes it easy to handle fully generic mixed datatypes.
Perhaps new class might NOT be necessary, if we let
MLDataset.dtypebe array ofnumpy.dtypes corresponding to each feature, and indicate it duringinit?Or we can define a
MixedDatasetclass which takes care of all the init and cfg, and makes it easy to handle fully generic mixed datatypes.Gotta work it out, and test it.