Getting started in the Analytics Platform
To investigate the cause of increasing optical encoder failures, you might look at environmental factors such as temperature, as temperature can affect these sensors. You can use Model-Prime's Analytics Platform to analyze the temperature data in the log that you found in the previous step using a Sagemaker Notebook.
- To access the tutorial notebook file, click on the
Demo Notebook
link in the left navigation menu and save the file locally.
- Click on
Analytics Platform
in the left navigation menu. ALaunch
button should appear.
- Click on the
Launch
button to open SageMaker Studio.
- In the Sagemaker studio home screen, click on
View Jupyterlab spaces
.
- On the Jupyterlab page, click
Create JupyterLab space
.
- In the dialog that appears, name your space
mpdemo
and accept the default sharing setting. ClickCreate space
to continue.
- On the space configuration screen click
Run space
.
- Once the space is running, click open
Jupyter lab
.
- In the JupyterLab launcher (which opens in a new tab), upload the
Demo Notebook
file you downloaded earlier to the file directory on the left, then double-click it to open.
- In the Select Kernel dialog accept the default kernel and click
Select
. This will bring you to the notebook where you can continue the tutorial.