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Submarine Workbench Introduction

Submarine Workbench is a WEB system for data scientists. Data scientists can interactively access notebooks, submit/manage jobs, manage models, create model training workflows, access data sets, and more through Submarine Workbench.

Register

Everyone who needs to use Submarine for machine learning algorithm development can log in to Submarine Workbench's WEB homepage. On the homepage, click the registration link, fill in the user name, email address and password to register the user. At this time, the user status is waiting for approval status.

After receiving the registration request from the user in Submarine Workbench, the administrator sets the operation authority according to the user‘s needs, sets the user’s organization and allocates resources, and sets the user status to pass the audit. The user can log in to the Submarine Workbench. Different users have different permission.

Login

Each Submarine user logs in to the Home page of Submarine Workbench by entering their username and password on the Login page.

Home

In the Submarine Workbench Home page, the top level shows the user's resource usage and task execution through four charts.

In the Quick Start list, the most commonly used feature links in the Workbench are displayed so that users can work quickly.

In the Open Recent list, there are nine items that the user has used recently, so you can work quickly.

At What's New? In the list, some of the latest features and project information released by Submarine are displayed to help you understand the latest developments in the Submarine project.

Workspace

Workspace consists primarily of five tab pages, with the total number of items in each tab page's title.

Project

In the Project page, all the projects created by the user themselves are displayed as cards.

Each Project card consists of the following sections:

Project Type：Submarine currently supports six types of machine learning algorithm frameworks and development languages: Notebook, Python, R, Scala, Tensorflow, and PyTorch, which are identified by corresponding icons in the project card.
Project Tags：Users can tag each Project with different tags for easy searching and management.
Github/Gitlab integrated：Submarine Workbench is system integrated with Github/Gitlab, and each Project can perform Watch, Star, Fork, and Comment operations in Workbench.
- Watch：[TODO]
- Star：[TODO]
- Fork：[TODO]
- Comment：Users can comment on the project.
Edit：Users can open projects in Notebook and perform algorithm development by double-clicking on the project or by clicking the Edit button.
Download：The user downloads the project package locally by clicking the Download button.
Setting：Edit project information such as project name, profile, visibility level and permissions.
Delete：Delete the project and all included files.

Add New Project

Clicking the Add New Project button on the project page will display the guide page for creating the project, and you can create a new project in just three steps.

Step 1: Fill in the project name and project description in the Base Information step.

Visibility: Set the visibility level of the item externally
- Private: (Default) Set to private project, and all the files included in the project are not publicly displayed. but the execution result of the project can be individually set and exposed in Notebook, so that others can view the visual report of the project.
- Team: Set to team project, select the team name in the team selection box, and other members of the team can access the project according to the set permissions.
- Public: Set to public project, all users in Workbench can view this project through search.
Permission: Set the external access rights of the project. The permission setting interface will appear only when the Visibility of the project is set to Team or Public.
- Can View
  When the project's Visibility is set to Team, other members of the team can only view the files for this project.
  When the project's Visibility is set to Public, other members of the Workbench can only view the files for this project.
- Can Edit
  When the project's Visibility is set to Team, other members of the team can view and edit the files for this project.
  When the project's Visibility is set to Public, other members of the Workbench can view and edit the files for this project.
- Can Execute
  When the project‘s Visibility is set to Team, other members of the team can view, edit, and execute the project’s files.
  When the project‘s Visibility is set to Public, other members of the Workbench can view, edit, and execute the project’s files.

Step 2: In the Initial Project step, Workbench provides four ways to initialize the project.

Template: Workbench Project templates with several different development languages and algorithm frameworks are built in. You can choose any template to initialize your project and you can execute it directly in Notebook without any modification. It is especially suitable for novices to experience quickly.
Blank：Create a blank project, and later we can manually add the project's file in Notebook
Upload: Initialize your project by uploading a file in notebook format that is compatible with the Jupyter Notebook and Zeppelin Notebook file formats.
Git Repo: Fork a file in the repository to initialize the project in your Github/Gitlab account.

Step 3：Preview the included files in the project

Save: Save the project to Workspace.
Open In Notebook: Save the project to Workspace and open the project with Notebook.

Release

[TODO]

Training

[TODO]

Team

[TODO]

Shared

[TODO]

Interpreters

[TODO]

Job

[TODO]

Data

[TODO]

Model

[TODO]

Manager

User

[TODO]

Team

[TODO]

Data Dict

[TODO]

Department

[TODO]

How to run workbench

How To Run Submarine Workbench Guide