We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
Wide (Spark ML) + Deep (Tensorflow AI)
The text was updated successfully, but these errors were encountered:
also, cascading models can help control latency-accuracy trade-off.
can configure - or turn dials at runtime - to force accuracy vs. performance (gpu's, etc)
Sorry, something went wrong.
Good inspiration: https://github.com/riga/tfdeploy/
No branches or pull requests
Wide (Spark ML) + Deep (Tensorflow AI)
The text was updated successfully, but these errors were encountered: