all started by trying to add a line so that the builder accepted 2D images (or in general images of dim different than 3. But it ended up by adding functionalities so that each individual component (wide, deepdense, deeptext and deepimage) can be used individually

Added a condition to account for 2D images (images with no color channels). This way we replicate exactly what ToTensor does within the WideDeepDataset class

Dense resnet

pypi README consistent with README. Note that this pypi README solution is temporal given how painful is to format the current README to look nice in pypi

changed pytest syntax (split in two. doctest-modules and the rest) and remove init files in doc dir (nonsense)

Modified documentation and added doc test. Also changed some of the code according to the increase of test coverage

Modified documentation and added doc test. Also changed some of the code in the main WideDeep class to increase test coverage

Finished implementation of DeepDenseResnet. Adapated DeepDense code for consistency (simply renamed 'embed_p' to 'embed_dropout'). Adapted docs and README. Included unit test for DeepDenseResnet.

Wide embedding