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

Feature Store API: Store all/most as search templates #32

Closed
sstults opened this issue May 3, 2017 · 5 comments
Closed

Feature Store API: Store all/most as search templates #32

sstults opened this issue May 3, 2017 · 5 comments
Assignees
Milestone

Comments

@sstults
Copy link
Member

sstults commented May 3, 2017

May not be possible. Let's keep track of the roadblocks if that's the case so that we might revisit later.

@sstults sstults added this to the 1.0 milestone May 3, 2017
@epugh
Copy link
Member

epugh commented Aug 8, 2017

@sstults can you elaborate more on this one? Talking to @worleydl and not sure we grok what this one means!

@sstults
Copy link
Member Author

sstults commented Aug 8, 2017

@epugh, this ticket was created from the "Elasticsearch LTR version 1.0" roadmap in GoogleDocs, so maybe @softwaredoug or @nomoa can elaborate more.

https://docs.google.com/document/d/1_DWPmLi9oDem3QWxQAgKbqZ5F9oo0XXyHicsXmbWFDQ/edit#

@ebernhardson
Copy link
Collaborator

nomoa is taking a well deserved vacation, will be out until basically the beginning of next month. I'm not 100% sure what this is, but the feature store has 3 ways of storing features: A plain un-parameterized elasticsearch query, a mustache template, or a lucene expression (taking the features from the other 2 as parameters).

So, basically everything is a template unless you want to use something else. It seems "done" ?

@epugh
Copy link
Member

epugh commented Aug 8, 2017 via email

@softwaredoug
Copy link
Collaborator

I think this is done

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

5 participants