Skip to content

doc: correct broken AutoML API documentation link #1277

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

Merged
merged 2 commits into from
Feb 3, 2020
Merged

doc: correct broken AutoML API documentation link #1277

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
e0931c9
doc: correct broken AutoML API documentation link
knakad Feb 3, 2020
f52258c
doc: correct second broken AutoML API documentation link.
knakad Feb 3, 2020
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
4 changes: 2 additions & 2 deletions src/sagemaker/automl/README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ job. By calling this method, you can view and compare the candidates.
#. Deploy the best candidate (or any given candidate): ``deploy()`` by default will deploy the best candidate to an
inference pipeline. But you can also specify a candidate to deploy through ``candidate`` parameter.

For more information about ``AutoML`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/sagemaker.automl.html
For more information about ``AutoML`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/automl.html

SageMaker CandidateEstimator Class
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Expand All @@ -64,4 +64,4 @@ The simplest re-run is to feed a new dataset but reuse all other configurations
If you want to have more control over the step jobs of the candidate, you can call ``get_steps()`` and construct
training/tuning jobs by yourself.

For more information about ``CandidateEstimator`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/sagemaker.candidate_estimator.html
For more information about ``CandidateEstimator`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/automl.html#sagemaker.automl.candidate_estimator.CandidateEstimator