Account settings
Manage your name and contact, password, notification preferences and personal credentials (MLflow and container tokens), and check your tenants and roles.
Required permission: View
This screen manages your account. Click the avatar at the top right of the header and choose Account settings (계정 설정). The same menu shows your name and email at the top, and has Sign out (로그아웃). With the settings permission (ADMIN) it also has Admin console (관리자 콘솔), and a global administrator also gets System console (시스템 콘솔). Every member uses it.
| # | Area | Description |
|---|---|---|
| ① | Profile (개인정보) | Name (이름) (shown instead of your email in member lists and elsewhere — if empty, your email), Contact (연락처). Email (이메일) is your sign-in ID, so you cannot change it yourself (ask the system administrator). Save (저장) · Revert (되돌리기). |
| ② | Change password (비밀번호 변경) | Current password, new password (at least 8 characters, different from the current one), confirmation. The eye icon at the top right shows what you type. |
| ③ | Notification preferences (알림 수신 설정) | Turn each notification kind on or off. Saved as soon as you click, and applied to every tenant you belong to. Kinds that start switched off carry Off by default (기본 꺼짐). Turning them off does not stop alerts from accumulating. |
| ④ | Personal credentials (개인 자격증명) | Manage MLflow tokens (MLflow 토큰 관리) (for logging local training to the tracking server; shown only with develop), Manage container tokens (컨테이너 토큰 관리) (for docker login; every member. Anyone can pull; only DEVELOPER, OPERATOR and ADMIN can push). Tokens are scoped to the current tenant and shown only once, right after issue. |
| ⑤ | Account info (계정 정보) | User ID, status (active or inactive; System administrator (시스템 관리자) for a global administrator), Tenants (소속 테넌트) and your role in each. With no membership, "No tenant assigned (배정된 테넌트가 없습니다)" appears. |
Main tasks
- To change your password, enter your current password and the new password twice in ②, and press Change password (비밀번호 변경).
- To stop a kind of notification, turn off its switch in ③.
- To log to MLflow from a local PC or run
docker login, issue a token in ④.