Skip to content

doc: edit description of local mode in overview.rst #722

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

Merged
merged 1 commit into from
Mar 26, 2019
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion doc/overview.rst
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@ Local Mode

The SageMaker Python SDK supports local mode, which allows you to create estimators and deploy them to your local environment.
This is a great way to test your deep learning scripts before running them in SageMaker's managed training or hosting environments.
Local Mode is supported for only frameworks (e.g. TensorFlow, MXNet) and images you supply yourself.
Local Mode is supported for frameworks images (TensorFlow, MXNet, Chainer, PyTorch, and Scikit-Learn) and images you supply yourself.

We can take the example in `Using Estimators <#using-estimators>`__ , and use either ``local`` or ``local_gpu`` as the instance type.

Expand Down