Unit 1. Preparing Resource¶
Before building a model to predict turbine engine temperature rises, you need to request the PVC storage resource for AI Pipelines to design a prediction pipeline and for AI Lab if you want to process model files in a Notebook instance.
Requesting Storage Resource¶
To design a pipeline or use Notebook instances, request PVC storage from the resource pool by the following steps:
Log in to EnOS Management Console and select Data Analytics > Resource Configuration > Storage Configuration from the left navigation pane.
Select Add PVC on the PVC Management tab.
Configure the following information in the popup window.
Filed Description Name Enter temp-rise-pipeline
.Capacity Enter 5
GB.Access Mode Select Shared. Used By Select Pipeline. (Optional) If you want to build a model in AI Lab and AI Hub by the steps in Unit 5. Building a Model in AI Hub, select Add PVC again and configure the following information.
Filed Description Name Enter temp-rise-lab
.Capacity Enter 5
GB.Access Mode Select Shared. Used By Select Lab. Select Confirm to request the PVC resource.