v0.4.7: individual components can run independently and image treatment replicates that of Pytorch
The treatment of the image datasets in WideDeepDataset
replicates that of Pytorch
. In particular this source code:
if isinstance(pic, np.ndarray):
# handle numpy array
if pic.ndim == 2:
pic = pic[:, :, None]
In addition, I have added the possibility of using each of the model components in isolation and independently. This is, one could now use the wide
, deepdense
(either DeepDense
or DeepDenseResnet
), deeptext
and deepimage
independently.