LabelModel with LFs dependencies

[chaturv3di]

This pertains to Issue #1462 and #1513.

As of v0.9.5, LabelModel training assumes that LFs are conditionally independent given Y.

Are there any plans to update the loss function to reflect the algorithm described in multi-task weak supervision paper?

[chaturv3di]

Hi @ajratner, @paroma,

A friendly ping to understand if there are any plans to drop the assumption of conditional independence between LFs while training the label model.

[fredsala]

Hi @chaturv3di . The repo is currently in maintenance mode, so we are not currently planning to update the label model with this feature.

[rjurney]

@paroma Wait, maintenance mode? You're no longer developing Snorkel?

[Ishitori]

I hope that @fredsala meant Snorkel Metal repository, but I would also like to hear a clarification on that. Does it mean that Snorkel is not going to evolve in the near future?

[fredsala]

Going to leave this open as a feature request to consider it for future versions of Snorkel! Maintenance mode was in reference to the code associated with the multi-task weak supervision paper. Snorkel (the main repo here) is not in maintenance mode, though the core team is busy working on snorkel.ai right now!

[rjurney]

I hope that @fredsala meant Snorkel Metal repository, but I would also like to hear a clarification on that. Does it mean that Snorkel is not going to evolve in the near future?

I believe what she meant is that at the moment the Snorkel team is busy on their product but they will make additions to Snorkel in the future.

Ed: oh, he said that :)