tybalt_vae.ipynb currently trains a VAE on pancan data and outputs the latent layer along with compiled Keras models.
the notebook also does a few sanity checks to ensure the model is actually learning something. This includes ensuring there are no zeroed out features and a quick check on reconstruction fidelity.
A more thorough diagnostic notebook would help ensure robust training. I will use this issue to discuss what should be included in the future nb.
Cancer-type specific reconstruction - possibly point to needing to update batches in training
tybalt_vae.ipynb
currently trains a VAE on pancan data and outputs the latent layer along with compiled Keras models.the notebook also does a few sanity checks to ensure the model is actually learning something. This includes ensuring there are no zeroed out features and a quick check on reconstruction fidelity.
A more thorough diagnostic notebook would help ensure robust training. I will use this issue to discuss what should be included in the future nb.