When computing non-tabular features, like one-hot-encoding, the to_csv method in the Dataset class fails. I think this is the correct behavior as pandas can only save tabular data to CSV files.
However, I think we should support saving/loading other types of data.
In the case of one-hot-encodings a simple save/load with numpy should do the trick:
np.save('path...', dataset.X)
...
dataset.X = np.load('path...')For other types of data other alternatives should be explored and implemented.
When computing non-tabular features, like one-hot-encoding, the
to_csvmethod in theDatasetclass fails. I think this is the correct behavior as pandas can only save tabular data to CSV files.However, I think we should support saving/loading other types of data.
In the case of one-hot-encodings a simple save/load with numpy should do the trick:
For other types of data other alternatives should be explored and implemented.