1. Documentation
2. 10.1 (Latest)10.09.109.99.89.79.69.59.49.39.29.19.08.28.18.07.6
3. Hub
4. Manage RapidMiner AI Hub

Manage RapidMiner AI Hub

When managing RapidMiner AI Hub, you must recall that configuration occurs at multiple levels:

1. The landing page

   From thelanding pageof RapidMiner AI Hub, numerous configuration tools are available, described collectively inAdmin Toolsand, according to the topic, in the submenus, e.g.Users and Groups.

2. The platform's environment file

   At the platform level, you can configure RapidMiner AI Hub via theenvironment file for docker-compose. For each Docker image, the environment variables are discussed in detail within theImage Reference.

3. Within containers (RapidMiner Server)

   Before the arrival of a container-based architecture, RapidMiner Server was a free standing entity; now it is packaged within aDocker image. Hence, to add to or modify the files within thehome directory, you must first获得RapidMiner服务器有限公司ntainer.

The landing page

The administration tools can be found under the following headings.

Identity and Security

Users and groupsare managed viaKeycloak.

Platform Administration

Platform Administrationprovides a user interface for the following tasks:

• Manage centrally defined coding environments (e.g. forRapidMiner Notebooks)
• ManageReal-Time Scoring Deployments

Projects

Here the admin can create, delete, and configureprojects.

Executions and schedules

Here the admin can manage thejob execution infrastructure.

Editing files within containers: the home directory

Frequently, this documentation will refer to theRapidMiner Server home directory, using a terminology such asor, to distinguish it from the home directory of theJob Agents. If you want to make changes to files within the home directory, you must first get access to it.

1. Find the container runningaihub-backend:

   $ docker container ls | grep aihub-backend CONTAINER ID IMAGE 63b24f5fb5c9 rapidminer/rapidminer-aihub:10.1.2

2. Enter the running container:

   $ docker exec -it  bash

3. Within the container, find the home directory

   rapidminer@aihub-backend:/$ ls aihub/home config data log resources tmp

4. Edit the file of interest with an available editor, such asnanoorvim.

5. Exit the container:

   rapidminer@aihub-backend:/$ exit

6. Restartaihub-backend:

   $ docker-compose restart aihub-backend

Similarly, the home directory of the Job Agents () can be found in theaihub-job-agentcontainer, under/jobagent/home.