Copyright | (c) 2013-2018 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay <brendan.g.hay+amazonka@gmail.com> |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | None |
Language | Haskell2010 |
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService
. A notebook instance's status must be InService
before you can connect to your Jupyter notebook.
Creating a Request
startNotebookInstance Source #
Creates a value of StartNotebookInstance
with the minimum fields required to make a request.
Use one of the following lenses to modify other fields as desired:
sNotebookInstanceName
- The name of the notebook instance to start.
data StartNotebookInstance Source #
See: startNotebookInstance
smart constructor.
Request Lenses
sNotebookInstanceName :: Lens' StartNotebookInstance Text Source #
The name of the notebook instance to start.
Destructuring the Response
startNotebookInstanceResponse :: StartNotebookInstanceResponse Source #
Creates a value of StartNotebookInstanceResponse
with the minimum fields required to make a request.
data StartNotebookInstanceResponse Source #
See: startNotebookInstanceResponse
smart constructor.