Copyright | (c) 2013-2021 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 |
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.
Synopsis
- data StartNotebookInstance = StartNotebookInstance' {}
- newStartNotebookInstance :: Text -> StartNotebookInstance
- startNotebookInstance_notebookInstanceName :: Lens' StartNotebookInstance Text
- data StartNotebookInstanceResponse = StartNotebookInstanceResponse' {
- newStartNotebookInstanceResponse :: StartNotebookInstanceResponse
Creating a Request
data StartNotebookInstance Source #
See: newStartNotebookInstance
smart constructor.
StartNotebookInstance' | |
|
Instances
newStartNotebookInstance Source #
Create a value of StartNotebookInstance
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:notebookInstanceName:StartNotebookInstance'
, startNotebookInstance_notebookInstanceName
- The name of the notebook instance to start.
Request Lenses
startNotebookInstance_notebookInstanceName :: Lens' StartNotebookInstance Text Source #
The name of the notebook instance to start.
Destructuring the Response
data StartNotebookInstanceResponse Source #
See: newStartNotebookInstanceResponse
smart constructor.
Instances
newStartNotebookInstanceResponse :: StartNotebookInstanceResponse Source #
Create a value of StartNotebookInstanceResponse
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.