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.

Sign up for GitHub

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

Jump to bottom

Put automated training into orchestrator workflow #1

Open

5 tasks

tskluzac opened this issue Aug 5, 2019 · 0 comments

Assignees

Collaborator

tskluzac commented Aug 5, 2019 •

edited

Loading

Right now the orchestrator only uses the 'predict' functionality of the orchestrator. We want to instrument the orchestrator to do the following:

Randomly take n% (configurable) of the files from the crawler and train on them.
Automatically requeue file after it is brute-forced against each extractor.
Notify the orchestrator when automated training is complete.
Temporarily store model on local filesystem (and orchestrator knows where it is).
Permanently store model on S3 endpoint in directory associated with user_id/time.

tskluzac self-assigned this

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment