Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Explore consistent python environments for users that create explainers #2934

Closed
axsaucedo opened this issue Feb 8, 2021 · 0 comments
Closed

Comments

@axsaucedo
Copy link
Contributor

As a precursor for #2825 (and parallel to #2584) one of the pieces to explore will be to identify what the best tool to enable our users to ensure they have replicated enviornments when they train an explainer or an model, whas this is one of the biggest bottlenecks when model binaries (pickles) are deployed - main issues when the library versions don't match (especially on exaplainers as the python version also takes precedence).

The two tools to explore initially will be conda.lock and poetry.lock - the former seems to have further support for environment components like Java and python version, whereas the latter seems to have a smoother interface.

@axsaucedo axsaucedo added the triage Needs to be triaged and prioritised accordingly label Feb 8, 2021
@axsaucedo axsaucedo added this to To do in Sprint 3 via automation Feb 8, 2021
@ukclivecox ukclivecox added this to To do in MLOPs Sprint 1 via automation Feb 8, 2021
@ukclivecox ukclivecox removed the triage Needs to be triaged and prioritised accordingly label Feb 11, 2021
@ukclivecox ukclivecox removed this from To do in MLOPs Sprint 1 Feb 25, 2021
@ukclivecox ukclivecox added this to To do in MLOPs Sprint 2 via automation Feb 25, 2021
@axsaucedo axsaucedo removed this from To do in MLOPs Sprint 2 Mar 11, 2021
@axsaucedo axsaucedo added this to To do in MLOPs Sprint 4 (ending 04/04/2021) via automation Mar 11, 2021
@RafalSkolasinski RafalSkolasinski moved this from To do to In progress in MLOPs Sprint 4 (ending 04/04/2021) Mar 18, 2021
@adriangonz adriangonz removed this from In progress in MLOPs Sprint 4 (ending 04/04/2021) Apr 1, 2021
@adriangonz adriangonz added this to To do in MLOps Sprint 5 (ending 15/04/2021) via automation Apr 1, 2021
@adriangonz adriangonz moved this from To do to In progress in MLOps Sprint 5 (ending 15/04/2021) Apr 1, 2021
@axsaucedo axsaucedo moved this from In progress to Review in progress in MLOps Sprint 5 (ending 15/04/2021) Apr 15, 2021
MLOps Sprint 5 (ending 15/04/2021) automation moved this from Review in progress to Done Apr 15, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
No open projects
Development

No branches or pull requests

3 participants