If you’re unsure about how to create ML Models in Infoveave, you can always get assistance by clicking the Need Help button. Upon clicking the button, you’ll be directed to a visual walkthrough on how to create ML Models.
Select and validate query Initiate a new ML model by selecting the query and validating the query task. This foundational step ensures for various transformations necessary for refining and preparing data for ML modelling.
Add and validate data transformation tasks Incorporate essential data transformation tasks to organize and format your data effectively for ML analysis. Drag and drop the required tasks, configure them individually, and validate each task. This step ensures that the data is in the correct structure and format for optimal modelling.
Select and build ML model Choose and add the desired ML model to the ML model builder. Configure the selected ML model, link it with the data transformation tasks, and validate the entire model. Upon validation, build the ML model, generating key metrics such as accuracy, precision, recall, F1 score, and more.
Save ML model Save the ML model after successful validation and building with a proper name and description to facilitate easy identification of the model’s purpose. This step is crucial for preserving the trained ML model, making it available for future predictions and analysis.
Search
The Search Bar at the top-right of the screen allows you to quickly locate any datasource within the platform. Simply enter keywords related to the name of the datasource or any part of the content you’re searching for.
Card View
When you click on the Card option in the layout filter, the items are displayed in a card-based view, which is the default layout for organizing datasources. This layout provides a more visual representation of the datasources and folders, making it easier to identify and organize items.
List Views
When you click on the List option, the layout changes to a table view, which displays the items and folders in a more detailed, structured format. This layout is ideal for users who prefer seeing data in rows and columns, allowing for quick access to information such as the item name, type, creation date, last update date, and more.
New Folder
To organize your items and datasources more efficiently, you can create a new folder. Here’s how to do it
Click the New Folder button, this will open a popup where you can configure your new folder.
In the popup that appears, you’ll be prompted to enter a name for your new folder. Choose a name that helps you identify the folder’s purpose or contents, such as “Reports” or “Financial Data.”
After entering the folder name, click the Save button to create the folder. The new folder will appear under Folders section.
Export Modal List
The Export Modal List feature enables users to download a structured file containing all available ML Models within the system. This functionality streamlines data management by providing a comprehensive overview for analysis, reporting, and sharing.
New Modal
Clicking on the New Modal button enables user to create new modal.
