Open awilliamson opened 6 years ago
Don't merge yet. This has knock on effects when training due to how chunking is done. As expected shape is 100000. I believe a more involved approach to filtering out these NoneTypes is required. Will update when possible.
When I remove NoneType in results preprocessing, I have another error that the training trunk shape is not 100000. How to resolve this error?
None types in results for preprocessing will result in an error when trying to return. Filtering out the None types beforehand appears to fix this, and preprocessing - alongside #17 - continues to actually write now.