Fullstack ML
AI
ml deployment example
SHOW HN2019
How HN took it
2 positive, 5 neutral or asking, 0 mixed, 2 critical, out of 9 comments about the project. Thread score -0.05.
Idea: 2 for, 0 againstDocs: 0 for, 1 againstExecution: 0 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 end-to-end demo of ML production scope
From 2 comments
Yes it covers a bit more than what people tend to see in Machine Learning which is the model training part. From the code base it looks to cover: 1) feature preparation and model…
julienkervizic on HNthis is freaking awesome! was looking for something like this for a long time. Much appreciated!!!
m23khan on HN
Objections
Flask built-in dev server is not production-ready; needs WSGI like gunicorn
From 1 comment
This feels like it doesn't live up to its own hype because it doesn't really exhibit a production-quality deployment of a Python application but something closer to a dev server.…
olooney on HN
Lacks documentation on structure and internals
From 1 comment
While the example here is definitely trivial, it would be nice to see some more documentation. Particularly around project structure, internals, and thought process. Seeing e2e…
jkaufmann_ on HN
Example is trivial
From 1 comment
While the example here is definitely trivial, it would be nice to see some more documentation. Particularly around project structure, internals, and thought process. Seeing e2e…
jkaufmann_ on HN
Unclear what it is from title alone
From 2 comments
I have absolutely no idea what this is, supposed to do, and what the demo shows.
jbverschoor on HNI made the same mistake for this post. I'm not very familiar with Machine Learning so notebook doesn't give it away for me. But then throw in "fullstack" and it makes it seem, to…
jetti on HN
Requests
More documentation on project structure and thought process
From 1 comment
While the example here is definitely trivial, it would be nice to see some more documentation. Particularly around project structure, internals, and thought process. Seeing e2e…
jkaufmann_ on HN
Production-grade deployment with WSGI, logging and error handling
From 1 comment
This feels like it doesn't live up to its own hype because it doesn't really exhibit a production-quality deployment of a Python application but something closer to a dev server.…
olooney on HN
Comparison with Rust or Go backends
From 1 comment
Looks really nice! Love to see it next to some Rust-like or Golang=like backend. What do you think?
s3nh_ on HN
Questions
What happened to Yhat
From 1 comment
What happened to them?
mahesh_rm on HN
Alternatives named
Yhat
From 1 comment
This is very, very similar to what Yhat (YC W15) did. You dropped some code in your Python or R project and it would slurp everything in to one package and, for Python, run it in…
leetrout on HN
Domino Data Lab
From 1 comment
That's my take as well. yhat, datascience.com, and Domino Data Lab were the first players in this space. Domino has a webinar and trial project to see how these platforms…
djp518 on HN