Environments¶
Environments are cloud-based platforms that facilitate creating and running your Predictive Learning (PrL) analytical models. Since predictive analysis can involve significant resource consumption, it is important to configure the appropriate environment and instance type for your specific workload requirements.
This documentation is intended for developers using Insights Hub Predictive Learning essentials tools and APIs.
User Interface¶
Environment Management Operations¶
The Environment Configuration page displays a list of environments that you created or that were created for you. Use the icons on the right side of the Environments table for tasks, such as:
- Viewing environments: To view environments,
- Select "Manage Environments" in the Quick Actions panel.
- Select "Mine Only" from the dropdown menu to filter environments created by your user only.
- Searching for an environment: Enter characters in the "Search by Name" field at the top of the Environment Configuration page.
- Cloning an environment: Click the Clone icon on the right side of the Environment Configurations table. This feature is not available in local private cloud environments.
Creating New Environments¶
Begin creating an environment from the landing page by clicking the: - Create a Configuration link in Quick Actions, or - Create a Configuration link at the top of the Environment Configuration page.
Note
- Create configuration is not available in local private cloud environments.
- Any PrL user of the tenant can shutdown the environment irrespective of who started it.
- Every environment started gets automatically shutdown after 8 hours if not stopped by user.
Environment Templates¶
Predictive Learning provides templates for many standard environment types. Templates contain settings and configurations that are specific to different use cases. The environment template you select determines the instance types available. Here are the environment selections and the instance types available for them:
Instance Types¶
Predictive Learning provides flexible instance options so you can select one that fits the model and data you are running.
Instances can be thought of as virtual servers or environments and they are optimized for compute-intensive workloads. In PrL, each of the instance types combines various amounts of compute power, memory, and networking capacity, depending on the job you are running and the amount and type of data (structured, unstructured, or semi-structured) being analyzed.
The Instance Type dropdown list populates instance types available for the template you select.
How to Create a New Environment¶
To configure a new environment, follow these steps:
- Click the Create an Environment link on the Environments page or click the Create an Environment link in Quick Actions.
- Enter a Name for the new environment.
- Enter an optional Description.
- Select a Template from the dropdown list.
- Select an Instance Type from the dropdown list.
- Click Save. The saved environment displays at the top of the Environments table.
How to Start or Stop an Environment¶
When you start an environment, it will run and automatically shut down after eight hours unless a user stops it before that time.
To start or stop an environment, follow these steps:
- Click Manage Environments in Quick Actions. The Environment History page is displayed.
- Select a configuration from the configurations dropdown list.
- Click Start to start the environment, or click Stop to stop it.
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