Continuous Machine Learning
Dev tools
ci/cd for machine learning
SHOW HN2020
How HN took it
9 positive, 10 neutral or asking, 0 mixed, 1 critical, out of 20 comments about the project. Thread score +0.34.
Idea: 6 for, 1 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Useful bridge between DVC and CI systems
From 2 comments
This is really cool. We've been recommending DVC to our users for a long time, and this looks like a natural step forward for the Iterative ecosystem.
calebkaiser on HNLongtime DVC user here - this is going to be so helpful. We use DVC for all of our model and data versioning, but what's been missing is the ability to cleanly integrate that…
rkaplan on HN
Hashicorp-like approach for ML tooling
From 1 comment
Awesome to see a github native workflow for CI/CD in the ML space! This team is closet I seen that's like Hashicorp for ML
tnachen on HN
Objections
Continuous deployment of ML models may be risky compared to software
From 1 comment
I think taking the approach of "help[ing] your team make informed, data-driven decisions" through generating reports is valuable here. In my opinion, it goes too far if we start…
bigfoot675 on HN
Requests
Deeper GitLab merge request integration
From 2 comments
Very cool to see this! I've added integrating CML closer into GitLab to our direction page with https://gitlab.com/gitlab-com/www-gitlab-com/-/merge_requests/55367/diffs If you…
sytse on HNHey Sytse! Thanks for the kind words. We're very interested in a deep integration with Gitlab :) Can you share some examples of these security scan reports, please? Right now, we…
ishcheklein on HN
Examples of real production use cases and documentation
From 2 comments
CML looks really awesome. I've been on one of your online meetups. Are you planning to host more in the future? It would be great to learn real production use cases!
m0sth8 on HNThat's really cool. I might have to play around with this. Do you have any docs on what you do to deploy a model? Something I've been doing at work is dealing with the output of…
gravypod on HN
Questions
Support for on-prem GPU runners
From 1 comment
This looks really amazing. Do you have any plans to support on-prem GPUs? If we had Gitlab runners with GPUs in them would this project pick it up and use those runners for…
gravypod on HN
What happens when training fails and whether custom metrics are supported
From 1 comment
Very interesting, I've been looking for something like this to add to our ML pipeline. a few questions: 1) can we see examples of generated reports? 2) what happens if training…
toisanji on HN
Alternatives named
Algorithmia CI/CD GitHub Action
From 1 comment
Deployment, inference and management can participate in this as well! Here is the missing part for a total e2e solution: https://github.com/marketplace/actions/algorithmia-ci-cd…
doppenhe on HN
Cortex model deployment platform
From 1 comment
Not to be too self-promotional here, but I'm a maintainer of Cortex, a model deployment platform that sounds like it might be useful: https://github.com/cortexlabs/cortex With…
calebkaiser on HN