Projects in the Workbench
The Projects section of the ecosystem.Ai Workbench is where you will make, manage and keep track of all of the work linked to the completion of any particular deployment project.
When you log into the Workbench you will see example projects that have already been created for you in the Dashboard and Projects sections.
Manage Projects
The following projects are pre-configured first examples of various recommenders:
- Simple Recommender
- Offer Recommender Single-Model:
- shows how offers can be recommended using a single multivariate
- Offer Recommender Multi-Model:
- uses a collection of binomial models. -Recommender Experiment:
- shows how exploration can be incorporated into a recommender environment.
- Message Recommender:
- show how customer engagement messages can be personalized using a recommendation engine.
- Many more examples are added over time.
Add/Edit Projects
In Projects, you can either edit one of the existing projects or add a new one. To view or edit a project, click on the project name. A section will open below the project list with all the project details. To create a new project, click + Add Project.
A section will open below the project list where you can input the details of your new project. In Project ID specify a name that everyone in your team can relate to. Add an accurate Description and provide an indication of the Type (eg. Recommender). Specify the Project Purpose. You can also assign dates and roles to the project, but this is more for administrative purposes than a necessity.
The Projects Elements dropdowns are for administrative purposes only. Adding Files, Feature Stores, Predictors, Deployments and Analysis files here. You can eport your project as a Module, with all the specified elements by clicking Export.