This section describes Downstream Model interface and configuration in detail.

Once you navigate to Scenarios after you log into the BaseModel, you will see a listing of all models created so far.

Interface Overview: Scenarios in BaseModel

The Fine-tuned Models interface in BaseModel provides users with a comprehensive view and control over various scenarios used for model training, scoring, and other tasks. Below is a breakdown of the key components of this interface:

1. Navigation Panel (Left Sidebar)

Purpose:

The left sidebar contains filtering options to help users organize and view specific models.

Key Components:

Filter by Status:
- Scheduled: Models that are planned for training.
- Training: Models that are currently being trained.
- Ready: Models that have completed training and are ready for use.
- Training Failed: Models where training encountered errors.
- Draft: Models that are still in draft mode.
Filter by Type:
- Classification - Binary
- Classification - Multiclass
- Classification - Multilabel
- Recommendation
- Regression

2. Fine-tuned Models List (Main Content Area)

Purpose:

Displays a list of all fine-tuned models with key details about each.

Key Components:

Name: The identifier for each fine-tuned model.
Type: Indicates whether the model is for regression, classification, or recommendation.
Status: Displays the current state of the model (e.g., "READY").
Last Run: Shows when the model was last executed.
Next Run: Displays the next scheduled run, if applicable.
Upstream: Indicates the source dataset or model used as an upstream input.
Edited: Shows the last modification date.

Additional Features:

Search and Filter Results: Displays the total number of results (e.g., "155 Results"), which updates based on applied filters.
Model Actions (Three Dots Menu): Each model has an options menu where users can perform actions like editing, deactiving and allowing to quickly view upstream model