Accessing the Models Page
You can access the Models page by selecting Models from the left navigation panel within the Data Science Lab.
The Models page in the Data Science Lab provides a centralized location to view, manage, and interact with all machine learning models within the platform. Users can access models that have been created, saved, or imported, ensuring streamlined collaboration and lifecycle management for data science projects.
The Data Science Lab supports a variety of model types across the machine learning lifecycle, including:
Classification models: Used to categorize data into predefined labels (e.g., churn prediction, fraud detection).
Regression models: Predict continuous values such as sales forecasts or demand trends.
Clustering models: Group data points into clusters for segmentation (e.g., customer segmentation).
Recommendation models: Suggest items, services, or content based on patterns and behavior.
Custom imported models: Bring in models developed outside the platform for execution and monitoring.
Access the Models Page
Navigate to the Data Science Lab landing page (default landing page: Projects).
In the left navigation panel, click Models.
The Models page opens, listing all available models.
View Model Details
From the Models page, select a model from the list.
Click on the model entry.
A details panel opens on the right side, displaying:
Key model information (name, type, metadata)
Action icons (for managing or deploying the model)
Key Benefits
One central location to view and manage all models.
Support for multiple machine learning model types.
Quick access to model details and management actions.