[JOSS review] Can you maybe compare your framework to the Wide & Deep / Deep & Cross models from Keras / Tensorflow?

[5uperpalo]

related to https://github.com/openjournals/joss-reviews/issues/5027#issuecomment-1365260401

[5uperpalo]

Hi @makoeppel can I close this issue related to JOSS paper review? I added a note comparing our library to keras/tensorflow implementation, here:

• https://github.com/jrzaurin/pytorch-widedeep/blob/joss_paper/mkdocs/paper_JOSS/paper.md#statement-of-need

  As opposed to Google's "Wide and Deep" and "Deep and Cross"[@wang2017deep] architecture implementations in Keras/Tensorflow, we use the wide/cross and deep model design as an initial building blocks of pytorch deep learning models to provide basis for plethora of state-of-the-art models and architecture implementations that can be seamlessly assembled with just a few lines of code. Additionally, the individual components do not necessarly have to be a part of the final architecture.

[makoeppel]

Hi @5uperpalo, thank you for adding this to the paper! You can close it.